6000 Words - Capstone Project Report on Data Warehousing role on Information Systems

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1 TABLE OF CONTENTS:

TABLE OF CONTENTS: 1

Abstract: 1 3 • OBJECTIVE OF THE PROJECT: 4 • Implications and limitation. 5

2 PROJECT TOPIC OUTLINE: 7

Lists of Symbols: 7

Body: 8

1. Introduction including any relevant background information. 8

Scope: 9

2. A description of the aim of the project. 10

3. Background research/literature review/requirements analysis. 11

4. Literature Review 12

Data Warehousing Definition 12

Example of Data Warehousing 14

Relevance of Data Warehouse 14

Data Warehousing: Process 16

Data Warehouse: Architecture 17

5. A description of the methods/approach used to implement your project 17

6. Results /Implementation, discuss the outcomes of the method used. 19

7. Analysis and discussion of the project outcomes. 20

8. Conclusions: 21

9. Recommendations: 22

Execution & Results or Analysis & Discussion: 22

Implications & Limitations: 24

Lessons Learned: 25

3 O MEANINGFULLY SYNTHESIZE CONNECTIONS AMONG EXPERIENCES FROM THE

PROJECT (INCLUDING LIFE EXPERIENCES AND ACADEMIC EXPERIENCES) TO DEEPEN

UNDERSTANDING OF FIELDS OF STUDY AND TO BROADEN OWN POINTS OF VIEW. 25

2 O DID THE PROJECT MEET SCOPE, TIME, AND COST GOALS? 26

4 O WERE THE IT PRACTICES USED IN YOUR PROJECT CONDUCTED ETHICALLY (USE THE

2 O REGARDING MANAGING THE PROJECT, WHAT WERE THE MAIN LESSONS YOU

2 O DESCRIBE ONE EXAMPLE OF WHAT WENT RIGHT ON THIS PROJECT. 27

2 O DESCRIBE ONE EXAMPLE OF WHAT WENT WRONG ON THIS PROJECT. 28

2 O OUTLINE WHAT WILL YOU DO DIFFERENTLY ON THE NEXT PROJECT BASED ON

YOUR EXPERIENCE WORKING ON THIS PROJECT? 28

References: 28

Appendices: 34

1. Detailed theoretical analyses. 34

2. Tabulated records of results, with reference to instruments or sources as appropriate. 35 Abstract:

• Summary: Write a summary of the report

1 ONE OF THE KEY DEVELOPMENTS IN INFORMATION SYSTEMS IS DATA WAREHOUSING.

THE AIM OF THE PROPOSED RESEARCH IS TO PRESENT A SYSTEMATIC LITERATURE

STUDY, TO SHOW THE ROLE OF DATA WAREHOUSING IN INFORMATION SYSTEMS. HOW

DATA WAREHOUSES CAN CHANGE AN ORGANIZATION AND WHAT IS DATA

WAREHOUSING AND INFORMATION SYSTEMS WITH PEER REVIEW REFERENCES ON

WRITING. ELABORATING BUSINESS INTELLIGENCE, AND WHAT TYPE OF DATA

REPOSITORIES ARE USED IN INFORMATION SYSTEMS IS FOCUSED. THE REPORT TAKES

EXAMPLES AND EXPLAINS THE THEM CLEARLY, FOCUSING ON ONE ORGANIZATION

EXPANDING DISCUSSION ON HOW AND WHAT CIRCUMSTANCES IS DATA WAREHOUSE

USED IN ORGANIZATIONS (ARIYACHANDRA AND WATSON, 2010). FOLLOWING OUR

SUPERVISOR’S INSTRUCTIONS, WE FOCUSED ON QUALITATIVE DATA. METHODS WE

USED TO COLLECT DATA FOR THIS REPORT CAME FROM ONE TO ONE DISCUSSION WITH

DR. XXX. 1 EXAMPLES INCLUDE LOOKING INTO PEER REVIEWED ARTICLES, JOURNALS,

RELEVANT CASE STUDIES. WE ANALYSED OUR DATA AND THEN IMPLEMENTED OUR

FINDINGS INTO THIS REPORT. WE ARE DOCUMENTING EVERYTHING FROM THE

PROJECT START TO FINISH. OUR FINAL ASSESSMENT OF THE OVERALL EVIDENCE IS

THAT DATA WAREHOUSE IS A PHASE TO MAKING COMPUTER SYSTEM ABLE TO ANALYSE

THE TENDENCIES AND SUPPORT IN SERIOUS DECISION MAKING IN ORGANIZATIONS.

THE NORMAL FUNCTIONING DATABASES WERE DESTINED TO DELIVER A HELP IN THE

CLERICAL PROCESSES OF THE ORGANIZATION BUT DATA WAREHOUSE IS MEANT TO AID

THE DECISION MAKERS. FOLLOWING WEEKLY TEAM MEETINGS, WHENEVER WE

ADJUST OUR PROJECTS OR A NEW REQUIREMENT IS INCLUDED IN OUR PROJECT

EXECUTION, WE KEEP A RECORD OF SUCH VARIANCES TO KEEP AHEAD OF THE CURVE.

THIS HELPS US IN CONDUCTING THE REST OF THE PROJECT.

• PURPOSE/MOTIVATION OR PROBLEM STATEMENT: research questions, relevance & context of

the project Data warehousing is considered to be extensively utilized in information technology systems as well

as business intelligence which is also a key part regarding information systems. The content regarding this

project is to discuss the concept of data warehousing as well as its significance on information systems with a

key focus on business intelligence.

1 • OBJECTIVE OF THE PROJECT:

The identified project objectives are considered to be measurable because of the enhanced business agility as

well as performance outcomes. The objectives in this research paper accommodate specific as well as

measurable, achievable and time bound aspects on the actual time along with the integrated Platform with a

key aim of offering support to the information systems in the identified business strategic IT initiatives as well

as measurable on the manner in which big data issues are easily manageable through the concept of data

warehousing on information systems as well as business intelligence. The following are key objectives

associated with the project:

· Supporting decision making within the given information system as well as the business intelligence

platforms. Data warehousing as well as information systems are usually utilized collaboratively to help in the

creation of specific insights into the given business operations and this offers robust arguments in supporting

business decisions (Köksal and Ticonderoga, 2019).

· The accomplishment of the identification regarding the contribution to the identified data warehousing in the

concept of information systems accommodating the business intelligence as well as in the improvement of

business agility.

· Management of the highlighting of the manner in which the modern data warehousing contribution has

effectively accommodated basic and essential features like real time as well as integrated platforms to help in

the supporting of the information system in the identified business strategic IT kind of initiatives.

· Achievement of the illustration of the manner in which data warehousing as a key process for the electronic

data collection as well as accommodating the trove historical information for the key analysis as well as

decision making in the given big data era happens to help in the management of essential data in the company

operation systems (Reddy & Suneetha, 2021).

1 • DESIGN/METHODOLOGY/APPROACH: EXPLAIN THE METHODS USED FOR THE DATA

COLLECTION IN YOUR PROJECT (THIS INCLUDES LITERATURE; and other analyses your project

requires) Design Methodology is associated with stressing the utility of brainstorming to help in the

encouragement of innovative ideas as well as collaborative thinking to work via each of the proposed idea as

well as in arriving at the most appropriate solution. The following project uses external sources, specifically the

secondary data sources that is literature reviews and other published sources to attain the information which

is needed in the achievement of the project objectives (Yao & Chakraborti,2021).

• Results/Findings: 1 BRIEFLY OUTLINE THE RESULTS OF YOUR SYSTEMATIC SEARCH; THE

CONSISTENT THEMES, ANY GAPS IF APPROPRIATE (ONE OR TWO SENTENCES).

In the current years, the identified database community has been associated with witnessing the emergence

regarding a current form of technology which is called data warehousing. With the many and key

developments in information systems and in data management, data warehousing is a key emerging concept

that needs to be understood comprehensively so as to understand the benefits and the future of data

warehousing in not only the large corporations but also in the small businesses.

• Implications and limitation.

The project is highly vital in enhancing the knowledge and skills of students in this field and other related

fields. Nonetheless, it will also help in offering information along with knowledge needed by firms to

understand how data warehousing operates and the benefits it brings about to the information systems of such

companies and businesses. Notably, the identified project is one which is Limited to seeking the key role

regarding the concept of data warehousing on the information systems as well as in the accommodation of the

business intelligence concept and enhancement of the aspect of business agility. This project is highly feasible

in the accommodation of the key concepts regarding business intelligence as well as data warehousing on the

manner in which information systems are usually attainable. However, it is vital to note the notable and

evident limitations that are present in the given project (Voronkova et al., 2017).

First and foremost, there is the key need to effectively evaluate the manner in which emergency technologies,

accommodation of the actual time as well as integrated data warehousing has an impact on the future

regarding data warehousing as well as applications in information systems and business intelligence.

Accommodation of data mining as well as data warehousing and even business intelligence in the identified

information system the given project is considered to be highly feasible due to the fact that there is a basic kind

of framework to attain project goals. Therefore, it is vital to note that the given project will effectively operate

within the given praxis regarding data warehousing concepts to enhance business intelligence as a key IY

strategy in firms.

• Conclusion of abstract: final assessment of the overall evidence and how it helped you to finish this

project(one or two sentences).

A data warehouse is considered as being a global repository which is associated with the storage of the pre

processed kind of queries on data which is associated with residing in a variety, probably heterogeneous as

well as operational or even legacy kinds of sources. The identified information that is usually stored on the

given data warehouse can be efficiently as well as easily accessed for enhanced decision making. The current

research has been associated with causing current forms of developments in all the given aspects associated

with data warehousing, however it is vital to note that there are numerous kinds of issues which need to be

handled in the most appropriate manner for enhancing the efficiency of data warehousing. In the following

research, there is a discussion of data warehousing as a concept in in depth for increased knowledge and

understanding of the concept and the key role it plays in information systems (Ariyachandra and Watson,

2010).

2 PROJECT TOPIC OUTLINE:

1 INCLUDE THE ORIGINAL PROJECT TOPIC OUTLINE THAT YOU CHOSE FOR YOUR

PROJECT. This is helpful for the second marking understanding what your project is about. Prepare a final

report that concisely details the work completed during your project. (Use your project plan) Data

warehousing is highly utilized in the concept of business intelligence which is identified as being a part of the

information systems. The identified content regarding this project will help in the discussion of the data

warehousing concept as well as the key concepts associated with it and the key significance of data

warehousing in relation to information systems with a key focus on business intelligence. The given project

will highly focus on what data warehousing as a concept it is as well as the issues and the significance

associated with data warehousing and the kind of industries that have benefited from the use of data

warehousing in the information systems. The key reasons as to why data warehousing are usually created is

very vital to understand in this project. The project will highly elaborate on the examples of industries that are

using data warehousing with a key focus on the key reasons as well as the benefits on the same (Raza et al.,

2020).

Lists of Symbols:

Your final report mush includes - Tables; Figures; Abbreviations; Charts; Graphs, Pie Charts.

5 FIGURE 1 DATA WAREHOUSE

Figure 2 Data Warehouse Architecture

Figure 3 Characteristic of Data Warehouse

Figure 4 Analysis of Data Warehouse

Symbols Meaning

IT Information Technology

ACS code Australian Computer Society Code of Ethics

Body:

The actual report consists of sections arranged to suit the individual needs of each project, and should include

the following:

1. Introduction including any relevant background information.

6 WRITE AN EXCEPTIONAL INTRODUCTION THAT GRABS INTEREST OF READER AND

STATES TOPIC CLEARLY. WRITE AN EXCELLENT DESCRIPTION OF RESEARCH QUESTION,

PROBLEM (INCLUDING STATEMENT OF PURPOSE AND RELEVANCE). THE SCOPE SHOULD

INCLUDE CONTEXT, BOUNDARIES AND ASSUMPTIONS.

The concept of technology is one that is associated with being a leading factor in the world and thus the

management of data efficiently along with effectively plays a key role in any company’s activities. Most of the

IT departments in companies utilized excel function for the key budgeting strategy but that is associated with

coming with numerous issues such as the issue of flexibility and complexities in the preparation of the budget

strategy, issues in the identified consolidation regarding the specified budget and in most of the cases the

deployment of the budget associated plans. The current era is one that is highly technological and this has

added another layer of complexities in the IT industries and the related industries who rely on IT activities and

processes.

To effectively solve these issues, it is important to note that data warehousing is associated with playing a key

role in any information systems sector for any firm. Such as centralized kind of data warehouse ought to be

highly capable in the management of all the financial expenses, whether this is planned earlier in time or it

came about unplanned and promptly. In the key aim and attempt to facilitate the evaluation of the manner in

which the strategic business IT kind of initiatives like the data warehouse as well as support on the

information systems within a given business organization, it is vital to note that there is an essential need for

the accommodation of data warehouse as a form of a data repository as well as data warehousing as an entire

kind of process which is associated with the facilitating of the use of data gathering formed to offer support to

decision making within the given business intelligence kinds of platforms.

Scope:

Data warehousing is considered as being the vast collection regarding business data, which is associated with

helping firms in the making of effective along with efficient business decision. To help in the revelation of

business intelligence an appropriate decision making support kind of system is needed which is essential in

facilitating the transition of data. The identified concept regarding data warehousing is one which was

effectively introduced in the year 1980. Data usually comes from distinct kinds of sources which usually range

from the internal applications well as the external applications. Data from the distinct kinds of sources is one

that is usually extracted in the effective format as well as is then effectively imported to an effective kind of

format which is regraded as being highly supportive in regard to the increment of business intelligence.

There is an identified scope as well as are substantial benefits and advantages that are usually added to the

given data warehouse which is associated with helping to make effective and highly efficient presentation

regarding data. To attain highly essential data from the distinct sources, it is vital to note that there is the need

to utilize analytical kinds of tools as well as data warehousing helps in the storage of data with effective quality

as well as integrity. The faster decision is associated with helping to attain higher level of productivity as well

as increment in revenue which is considered to be probable with the utility of the concept of data warehousing.

2. A description of the aim of the project.

The key aim of the project is finding out the key role regarding data warehousing on the concept of information

systems as well as the accommodation of business intelligence. Essentially, information technology

developments is usually associated with being geared towards enhanced applications in the business

organizations to help in offering higher level of efficiency and effectiveness as well as agility in the business

process, higher level of profitability and even continuation at a cost efficient kind of Platform. In the same

manner, the given project usually is associated with the identification of the technologies like data

warehousing kinds of projects in information technology kinds of systems as well as resonating with the basic

IY projects on the enhancement of business performance effectively as well as cost efficiently.

At the personal level, the given project is essential in offering the basic and essential relevance with the

ambition as well as the key need to effectively apply information technologies to help in the improvement of

the businesses in the actual world situation as well as in the accommodation of the business intelligence

concepts. Moreover, accommodation of a detailed along with a comprehensive literature in the concept of data

warehousing would help in enhancing human knowledge as well as comprehensive understanding regarding

data warehousing on the information systems as well as business intelligence. Therefore, the given project is

highly vital in the accommodation of general as well as personal relevance towards enhanced performance on

the business enterprises.

3. Background research/literature review/requirements analysis. This should be based on the work

youcompleted in the interim report and the heading used needs to reflect the project type undertaken.

Management of big data as well as information within the given business organization is associated with

having proven to be an issue as well as a key challenge with the increment as well as the development on the

information technology adaptation by the given business firms, unavailing the key need for an identified

business strategy as well as IT initiative to help in the solving of such kind of issues. In an aim to help in the

finding of the most appropriate solutions to such kinds of issues within the business organization, the key

objective regarding this given project is considered to be seeking the key roles regarding data warehousing on

the information systems as well as in the accommodation of the business Intelligence concept.

In this given project, there is the laid out plan to operate on researching on the issues as well as significance

regarding data warehousing, from the research on what data warehousing is, through offering relevant

examples associated with data warehousing as well as to the key reasons as to why they are used , to the key

reasons as why organizations and businesses do not depend on databases and why they use warehousing for

assistance. Through the effective completion of this project, it will help on offering knowledge as well as

understanding needed in offering in depth as well as comprehensive research on the key roles regarding data

warehousing on the concept of information systems.

4. Literature Review.

3 CHOOSE A VARIETY OF INFORMATION SOURCES APPROPRIATE TO THE SCOPE AND

DISCIPLINE OF THE RESEARCH QUESTION. 6 SELECT SOURCES AFTER CONSIDERING

THE IMPORTANCE (TO THE RESEARCHED TOPIC) OF ALL CRITERIA USED (SUCH AS

RELEVANCE TO THE RESEARCH QUESTION, CURRENCY, AUTHORITY, AUDIENCE, AND

BIAS OR POINT OF VIEW). 3 SYNTHESIZE IN-DEPTH INFORMATION FROM RELEVANT

SOURCES REPRESENTING VARIOUS POINTS OF VIEW/APPROACHES.

1 DATA WAREHOUSING DEFINITION

Data warehouse is Considered as being a repository regarding enterprise or even the business databases which

offers a comprehensive picture regarding the current as well as the historical operations associated with a firm.

Since it is associated with offering a coherent as well as a comprehensive kind of picture associated with the

business conditions at a specific time, it is usually utilized for the effective as well as efficient decision making

kind of process. It is associated with entailing the advancement of systems which usually assists in the

extraction regarding the given data in a manner that is highly flexible. Data mining is associated with the

description of the process associated with the designing of the manner in which the given data which is usually

stored so as to help in the improvement of the reporting as well as the analysis process.

Data warehousing professionals are associated with putting into consideration that the various kinds of stores

regarding data are usually linked as well as associated to one another conceptually and even physically. The

data of any business is often considered to be stored across a variety of databases. However, it is essential to

note that to be highly capable to analyse the widest range regarding data, each of the given databases is

associated with being linked in some manner. This is used to mean that the given data which is within them

requires a key way of being associated to other essential data as well as that the identified physical databases

themselves usually have a link so their given data can be looked at collaboratively for the purpose of reporting

(De Mul et al., 2012).

Fig 1: Data Warehouse It is essential to note that a variety of the data stores are usually integrated by the

identified Data Warehouses as well as this information is often utilized but the key leaders as well as managers

for enhancing improved decision making. Data warehousing kinds of environments is associated with the

inclusion of extraction regarding the regional databases that is the Transformation as well as Loading and the

Online Analytical Processing. As any business grows and expands globally, the identified parameters as well as

the complexities entailed in the analysis process as well as decision making usually become highly complex

(Özcan & Peker, 2021).

Data access portion which is considered to be available in the key form regarding products is Considered as

being the most visible part regarding a data warehouse project. Data Warehousing process is associated with

the transformation regarding data from the original format to the dimensional data store which is associated

with the consumption of a higher level percentage regarding effort as well as time and even expenses. Since the

identified implementation regarding the data Warehousing is considered as being costly as well as essential,

there are numerous data extraction as well as data cleaning tools and even load and fresh utilities that are

usually available for the same. It is vital to understand that one of the most essential features regarding the

data warehouse is data integration.

1 EXAMPLE OF DATA WAREHOUSING

Facebook is considered as being a great example of data Warehousing since it is associated with doing that on

its daily operations. Facebook is a famous social media Company which is associated with the gathering of AI

data like friends as well as likes and groups among others. All these kind of data that is gathered by the

company are usually stored into a single kind of central repository. Although the company of Facebook is

involved in the storage of all these kind of information into separate forms of databases, usually they store the

most essential as well as vital information into a single central aggregated kind of databases. This is due to

numerous reasons such as making sure that individuals perceive the most essential ads which are highly likely

to click on or even friends that they suggest are usually the most vital to an individual (Drake, 2021).

1 RELEVANCE OF DATA WAREHOUSE

7 DATA WAREHOUSE IS CONSIDERED TO BE A SUBJECT ORIENTED AS WELL AS TIME

VARIANT, INTEGRATED AND EVEN NON VOLATILE GATHERING OF DATA. Data cleansing as

well as data integration and even Online Analytical Processing are all considered as being part of the data

Warehousing technology. It is associated with offering a whole as well as consistent data store from the

numerous sources which can be effectively understood as well as utilized in the business applications. Some of

the given application areas entail the integration of the data across the entire firm as well as quick and efficient

decisions on the current and even historical data, management and the control of Businesses among others

(Liu et al., 2021).

Data Warehousing is considered to be an highly essential business intelligence tool which allows firms to be

efficient and feasible in different ways. First and foremost it is associated with facilitating high level

consistency. Data Warehouses are usually effectively programmed to effectively apply a uniform format to all

the gathered data. This is associated with making it easier for the corporate decision makers to efficiently as

well as effectively analyse as well as share the data insights with their given colleagues globally. The

standardizing of data from the distinct sources is also associated with the reduction of the risk regarding error

in the interpretation as well as in the enhancement of overall accuracy (Neamah, 2021).

Moreover, it is associated with enhancing the business decisions. The successful business leaders usually are

involved in the development of the data driven technique as well as rarely come up with decisions without in

any way consulting the given facts. Data Warehousing is associated with the improvement of the speed as well

as the efficiency regarding the accessing of the distinct kinds of data sets as well as it makes it easier and more

efficient for the corporate decision makers to derive effective insights that will help in guiding the identified

business as well as the marketing techniques that usually are involved in setting them apart from their

identified competitors.

Nonetheless, it is associated with improvement of their identified bottom line. The data warehouse kind of

platform usually allow the business leaders to efficiently as well as effectively access their historical Activities

of the firm. It also helps in the evaluation of the initiatives which have been highly efficient or even not

efficient in the previous times. This is associated with allowing the executives and the leaders to perceive

where they can effectively adjust their identified strategy to facilitate the decrement of costs along with the

maximizing of the level of efficiency and in the increment of sales to help in the improvement of their

identified bottom line (Friedrichs, 2021).

Data Warehousing is also associated with the delivery of improved business intelligence. Through having

effective access to information from a variety of sources from a single kind of platform, decision makers will no

longer be required to be dependent on the limited data or even their instincts. Moreover, it is vital to note that

the data warehouse can effortlessly and effectively be applied to any kind of business process such as the

market segmentation as well as IT management and so forth. It also helps in saving time (Gladić & Petrovački,

2021). A data warehouse is associated with the standardizing as well as the preservation and even the storage

of data from the distinct sources, helping in the identified consolidation and even in the integration regarding

all the given data. Since the critical data is considered to be available to the users, it is associated with allowing

them to come up with highly informed decisions on the key aspects (Sylvestre et al., 2018).

It is also associated with improving data quality along with consistency. A data warehouse is associated with

the conversion of data from numerous sources into a consistent kind of format. Since the given data from

across the entire organization is considered to be standardized, each kind of department will be involved in the

production of outcomes which are consistent. This is associated with causing more accuracy of data which will

help in decision making. Furthermore, it is associated with the streamlining of the flow regarding information

via a network that connects all the related as well as the non related parties (Chang et al., 2021).

Data Warehousing: Process Data warehousing is defined as being the key process regarding the centralizing or

even the aggregation of data from Numerous sources into a single common kind of repository. Data

warehousing is associated with taking place prior to data mining taking place. Data warehousing is associated

with involving a strict engineering kind of phase whereby no any form of business users are entailed. In the

data warehousing, data stored in the distinct databases are usually combined into a single comprehensive as

well as efficiently understood and accessible database. This is usually considered to be available to the business

professionals or even the managers who are associated with the utility of the data for the purpose of data

mining and in the creation of forecasts. Data is usually fed from numerous disparate sources into the given

data warehouse which is usually again converted as well as reformatted, summarised and utilized for the

managerial decision making purposes (Arora & Gosain, 2021).

Data Warehouse: Architecture Data warehouse architecture is usually on the basis of a variety of Business

processes related with any business. Some other kinds of considerations while going for the identified

architecture associated with a data warehouse entails data modelling as well as enough security, metadata

management, extent regarding query requirements and the use of full technology. Metadata is considered as

being the type of data which is usually stored either as a form of unstructured or even in the semi structured

manner (Alkraiji, 2021). These kind of summary data are usually highly essential in the given data warehouse.

For instance, simple kinds of data warehouse query can be utilized in the retrieval of the sales made in the

month of January. Data Warehousing type of architecture can be revealed with the given materialized view in

the famous Oracle 9i as depicted below.

Fig 2: 1 DATA WAREHOUSE ARCHITECTURE

5. A description of the methods/approach used to implement your project (including justification of the

choices made where appropriate). 6 ALL ELEMENTS OF THE METHODOLOGY OR THEORETICAL

FRAMEWORK SHOULD BE SKILFULLY DEVELOPED. APPROPRIATE METHODOLOGY OR

THEORETICAL FRAMEWORKS MAY BE SYNTHESISED FROM ACROSS DISCIPLINES OR

FROM RELEVANT SUB DISCIPLINES.

Methods as well as approaches used in the implementation of a project are key to any project and need to be

understood in the best way possible for enhanced efficiency and effectiveness. The following project used

external sources and to be precise the secondary data sources. When the data is usually gathered from outside

an organization, it is usually referred to as external sources of data. Secondary data is used to define the

second hand information. It is usually considered to be not originally gathered as well as it is instead attained

from the already published or even the unpublished sources. The following project used published Secondary

data for enhanced efficiency as well as feasibility of the information offered. There was the use of numerous

published sources inclusive of journals as well as the periodicals that are published by various kinds of

governments globally (Hemler et al., 2021).

There are numerous precautions which were undertaken in the use of the secondary data to ensure efficiency

in the whole research process. First and foremost, there was the confirmation on the reliability of the agency to

help in having reliable published data. Moreover there was the suitability regarding the given aim associated

with enquiry whereby there was the investigation of the data prior to its use to ensure that the given data is

highly suitable for the key aim regarding the present enquiry and this was done via the investigation of the

nature along with objectives and even time regarding the collection (Hasselbring, 2000).

There was the consideration of the adequacy as well as the accuracy levels to avoid impact regarding bias. It is

vital to utilize adequate data to avoid any kind of biased as well as prejudices causing inappropriate

conclusions (Baran, 2021). There is also the method regrading the collection of the data utilized. For this

consideration, there was the ascertaining as to the kind of method to use in the collection of the data for

enhanced efficiency and feasibility. In overall this helped in attaining updated and feasible data for use in the

whole process (Seneviratne et al., 2018).

6. Results /Implementation, discuss the outcomes of the method used. For this project report, it is

expectedthat some tabular data that shows the results of your project activities/methodological approach will

be included.

Figure 3: 1 CHARACTERISTICS OF DATA WAREHOUSE

Data warehouse is Considered as being a repository regarding enterprise or even the business databases which

offers a comprehensive picture regarding the current as well as the historical operations associated with a firm

(Dahaoui et al., 2021). Since it is associated with offering a coherent as well as a comprehensive kind of picture

associated with the business conditions at a specific time, it is usually utilized for the effective as well as

efficient decision making kind of process. It is associated with entailing the advancement of systems which

usually assists in the extraction regarding the given data in a manner that is highly flexible. Data mining is

associated with the description of the process associated with the designing of the manner in which the given

data which is usually stored so as to help in the improvement of the reporting as well as the analysis process

(Madurapperuma et al., 2018).

Figure 4: 1 ANALYSIS OF DATA WAREHOUSE

7. Analysis and discussion of the project outcomes. From the work you have completed, extract the

importantissues from the information you have accumulated and choose suitable information (must use

diagrams, images, graphs etc.), to aid the comprehension of the text. Explain the significance of the project

outcomes in relation to other relevant published work.

8 A DATA WAREHOUSE USUALLY IS ASSOCIATED WITH MAINTAINING THE COPY OF

INFORMATION FROM THE GIVEN SOURCE OF TRANSACTION SYSTEMS. This kind of

architectural complexity is associated with offering the opportunity to effectively integrate data from

Numerous sources into a single form of database as well as the data model. 8 MORE LEVEL OF

CONGREGATION

REGARDING DATA TO THE SINGLE DATABASES SO A SINGLE KIND OF QUERY ENGINE

CAN

BE UTILIZED IN THE PRESENTATION OF DATA IN AN IDENTIFIED ODS. IT ALSO OFFERS

THE OPPORTUNITY TO MITIGATE THE ISSUE REGARDING THE GIVEN DATABASE

ISOLATION LEVEL LOCK KIND OF CONTENTION IN THE IDENTIFIED TRANSACTION

PROCESSING SYSTEMS THAT IS CAUSED BY THE KEY ATTEMPTS TO OPERATE LATHE AS

WELL AS LONG RUNNING ANALYSIS KIND OF QUERIES IN THE TRANSACTION

PROCESSING KINDS OF DATABASES. It also helps in the maintenance of data history even in the cases

whereby the source kind of transaction systems do not (Kortüm et al., 2017).

8. Conclusions: A critical statement of what has been achieved or demonstrated with this project, based on

theanalysis and discussion of the results. The conclusion should sum up the main points of the report and

should clearly relate to the objectives of your report.

Data mining as well as the data warehouse Technologies are associated with having a bright future in the

various business applications as it is associated with helping in the generation of the current probabilities by

the automated prediction regarding trends as well as behaviours involved in the large database. Data mining

techniques usually assist in the automatic discovery of the unknown patterns such as the identification of the

anomalous data that is involved in the highlighting of the key errors which are usually generated during the

time of data entry (Golfarelli et al., 2004).

It is important to note that data warehouse as well as data mining technologies have become a big hit with a

variety of industries such as sales as well as marketing , financial institutions and much more. These

technologies are considered to have numerous benefits in the varying fields. The immense data volumes as

well as highly complex knowledge discovery procedures related with the business firms usually make the given

data warehouse with its identified OLAP as well as data mining tools to be a highly essential technology which

supports decision making and overall success in the firm (Berndt et al., 2001).

9. Recommendations: A statement of further work or action you consider to be necessary, eg during

theinvestigation/project it may have become apparent that it would be desirable to carry the study beyond the

planned objective or that some problems encountered should be explored in greater depth than was possible

or necessary in the current project.

For the efficiency and the feasibility of the future work on the role of data Warehousing on information

systems, it is vital for the subject to be studied and explored in in-depth as this will help in having

comprehensive understanding of these key roles and being able to apply the same in industries (Bouadi et al.,

2017).

Execution & Results or Analysis & Discussion:

6 ORGANIZE AND SYNTHESIZE EVIDENCE EXCELLENTLY TO REVEAL

INSIGHTFULPATTERNS, DIFFERENCES, OR SIMILARITIES RELATED TO FOCUS.

7 DATA WAREHOUSE IS CONSIDERED TO BE A SUBJECT ORIENTED AS WELL AS

TIMEVARIANT, INTEGRATED AND EVEN NON VOLATILE GATHERING OF DATA. Data

cleansing as

well as data integration and even Online Analytical Processing are all considered as being part of the data

Warehousing technology. It is associated with offering a whole as well as consistent data store from the

numerous sources which can be effectively understood as well as utilized in the business applications. Some of

the given application areas entail the integration of the data across the entire firm as well as quick and efficient

decisions on the current and even historical data, management and the control of Businesses among others

(Dobbs et al., 2002).

9 PROPOSE ONE OR MORE SOLUTIONS/ HYPOTHESES THAT INDICATE A DEEP

COMPREHENSION OF THE PROBLEM. 3 SOLUTION/ HYPOTHESES SHOULD BE SENSITIVE

TO CONTEXTUAL FACTORS AS WELL AS ALL OF THE FOLLOWING: ETHICAL, LOGICAL,

AND CULTURAL DIMENSIONS OF THE PROBLEM.

For the efficiency and the feasibility of the future work on the role of data Warehousing on information

systems, it is vital for the subject to be studied and explored in in-depth as this will help in having

comprehensive understanding of these key roles and being able to apply the same in industries (Zhou et al.,

2011).

3 EVALUATION OF SOLUTIONS SHOULD BE DEEP AND ELEGANT (FOR EXAMPLE,

SHOULD

CONTAIN THOROUGH AND INSIGHTFUL EXPLANATION) AND INCLUDES, DEEPLY AND

THOROUGHLY, ALL OF THE FOLLOWING: CONSIDERS HISTORY OF PROBLEM, REVIEWS

LOGIC/ REASONING, EXAMINES FEASIBILITY OF SOLUTION, AND WEIGHS IMPACTS OF

SOLUTION.

The solutions to achieving this is by having more in depth and comprehensive research on data Warehousing

as well as its significance when it comes to information systems. This will help in avoiding issues of unlimited

data on the Concept which limits its application in the different IT companies (Inmon, 1996).

3 IMPLEMENT THE SOLUTION IN A MANNER THAT ADDRESSES THOROUGHLY AND

DEEPLY MULTIPLE CONTEXTUAL FACTORS OF THE PROBLEM.

The solution can be effectively Implemented via the use of professionals as well as experts who will help in the

analysis of the issue and the gap and come up with effective solutions on the same via the use of

comprehensive research (Jeble et al., 2017).

3 REVIEW RESULTS RELATIVE TO THE PROBLEM DEFINED WITH THOROUGH, SPECIFIC

CONSIDERATIONS OF NEED FOR FURTHER WORK.

It also offers the opportunity to enhance data quality. This is achieved via the provision of consistent types of

codes and even descriptions , fixing bad data. There is also the presentation of the information of the

organization in a more consistent manner. 8 IT ALSO OFFERS A SINGLE COMMON KIND OF DATA

MODEL FOR ALL THE GIVEN DATA REGARDING INTEREST OF THE ORGANIZATION

DESPITE THE SOURCE OF THE DATA. This is essential in the organiztaion as well as disambiguation of

the repetitive data forms. This is also key in enhancing the making of the decision support kinds of queries

easier to write. The project work offers information on how all these benefits are achieved which is key for

firms and individuals that are willing to venture into data warehousing and this is also an extension of the

other published works. Extensive research is needed on data warehousing on specific companies in the IT

industry (Issa, 2002).

Implications & Limitations:

6 INSIGHTFULLY DISCUSS IN DETAIL RELEVANT AND SUPPORTED LIMITATIONS AND

The project is highly vital in enhancing the knowledge and skills of students in this field and other related

fields. Nonetheless, it will also help in offering information along with knowledge needed by firms to

understand how data warehousing operates and the benefits it brings about to the information systems of such

companies and businesses. Notably, the identified project is one which is Limited to seeking the key role

regarding the concept of data warehousing on the information systems as well as in the accommodation of the

business intelligence concept and enhancement of the aspect of business agility (Al-Debei, 2011). This project

is highly feasible in the accommodation of the key concepts regarding business intelligence as well as data

warehousing on the manner in which information systems are usually attainable. However, it is vital to note

the notable and evident limitations that are present in the given project.

First and foremost, there is the key need to effectively evaluate the manner in which emergency technologies,

accommodation of the actual time as well as integrated data warehousing has an impact on the future

regarding data warehousing as well as applications in information systems and business intelligence.

Accommodation of data mining as well as data warehousing and even business intelligence in the identified

information system the given project is considered to be highly feasible due to the fact that there is a basic kind

of framework to attain project goals. Therefore, it is vital to note that the given project will effectively operate

within the given praxis regarding data warehousing concepts to enhance business intelligence as a key IT

strategy in firms (Alhyasat & Al-Dalahmeh, 2013).

Lessons Learned:

This section enables students to step back from the project and more objectively analyse what they have

learned from the project.

3 O MEANINGFULLY SYNTHESIZE CONNECTIONS AMONG EXPERIENCES FROM THE

PROJECT (INCLUDING LIFE EXPERIENCES AND ACADEMIC EXPERIENCES) TO DEEPEN

UNDERSTANDING OF FIELDS OF STUDY AND TO BROADEN OWN POINTS OF VIEW. MAKE

EXPLICIT REFERENCES TO PREVIOUS LEARNING AND APPLIES IN AN INNOVATIVE (NEW

AND CREATIVE) WAY THAT KNOWLEDGE AND THOSE SKILLS TO DEMONSTRATE

COMPREHENSION AND PERFORMANCE IN NOVEL SITUATIONS. ENVISION A FUTURE

SELF (AND POSSIBLY MAKES PLANS THAT BUILD ON PAST EXPERIENCES) THAT HAVE

OCCURRED ACROSS MULTIPLE AND DIVERSE CONTEXTS.

The project has helped me in understanding different and essential lessons on data warehousing. A data

warehouse is a key process used in the collection as well as in the management of data from a variety of

sources to offer essential business insights. A data warehouse is usually utilized to link as well as in the

analysis of business data from heterogeneous types of sources. The identified data warehouse is considered as

being the core regarding the BI system which is usually built for the process of data analysis along with

Reporting. I also learnt that it is a blend regarding Technologies as well as components which help in aiding

the strategic utility of data. It is defined as being the electronic storage regarding a large amount regarding

information by a given business which is formulated for query as well as analysis rather than the transaction

processing (Gupta et al., 2015).

The project also helped me to understand who needs the data warehouse. The data warehouse is usually

required for all kinds of users such as the decision makers who are dependent on the huge amount of data. It is

also required by the users who usually customize as well as are involved in the complex processes to attain

information from various data sources. It is also essential to be utilized by the individuals who want simple

technology to effectively access the given data. It is also vital for the individuals who desire a systematic kind of

approach for the making of decisions. Data warehouse is considered as being a first step if an individual wants

to effectively discover the hidden patterns regarding the data flows as well as groupings (Fernández-Manzano

et al., 2016).

Another key lesson attained from the project is the purpose and usage of the data warehouse. There are

numerous sectors whereby data warehouse is utilized. First and foremost, there is the airline which uses the

data warehouse for operation purposes such as the crew assignment as well as promotions and so forth. The

banking sector uses data warehouse to facilitate the management of the identified resources available on the

desk effectively. The healthcare industry uses data warehouse to facilitate the strategizing and in the prediction

of outcomes in different services (Harris, 2013).

This section should also address the following issues:

2 O DID THE PROJECT MEET SCOPE, TIME, AND COST GOALS?

THE PROJECT DID MEET THE SCOPE AS WELL AS TIME AND THE COST GOALS. This was

facilitated by the effective planning and the management of all schedules related with the project. All the

instructions were also followed to the latter and this avoided any extra costs that come with inappropriate

planning.

o Were the IT practices used in your project conducted ethically (use the ACS Code of Ethics to respond) The

ACS code of ethics is essential and it helped in the completion of this project by outlining the ethical principles

which govern decisions as well as behaviour at a firm. It was used in offering a general outline on the manner

in which professionalism and integrity ought to be used for projects. This helped in enhancing ethical

standards of the IT project (McDermid, 2011).

2 O REGARDING MANAGING THE PROJECT, WHAT WERE THE MAIN LESSONS YOU

In regard to the management of the project, there are some key lessons which I learnt. I learnt that not all the

projects are smooth and each time changes are made to a project it disrupts the workflow and thus the need to

have knowledge on effective completion of the project and in meeting the deadlines. An individual may also

experience numerous issues which can in the end impede the identified progress regarding the project as well

as cause failure. This is the key reason as to why it is vital to fight for the viability regarding their identified

projects.

I also learnt that it is alright if an individual does not know everything. Most of the project managers usually

feel that they need to be perfection. However, the experienced individuals in project management will tell

people that having knowledge on what one does not know is vital to being am effective project manager. I also

learnt that it is vital to not overestimate ones capabilities and end up with the wrong decisions. This is to mean

that insights as well as inputs is key for one to be effective in any project (Shahid et al., 2021).

Moreover, I got to learn that it is vital to avoid depending on tools for any critical work. Project managers are

usually judging a variety of responsibilities in a simultaneous way. As an outcome, some of the project

managers end up depending on distinct project management tools so as to make their lives easier. The use of

the latest and most current project management tools is a key way to help in saving time and in the successful

completion of task. This helped me in achievement of efficiency as well as feasibility in the entire project

management and completion.

2 O DESCRIBE ONE EXAMPLE OF WHAT WENT RIGHT ON THIS PROJECT.

An example of what went right in this project was my planning in terms of time. I was able to come up with an

efficient time schedule. This helped me in meeting the deadline and in planning my time for each section.

Time management is crucial in any project for successful completion of the tasks ahead.

2 O DESCRIBE ONE EXAMPLE OF WHAT WENT WRONG ON THIS PROJECT.

An example of went wrong in the project was the setting of goals. This is because despite having formulated

SMART goals and objectives, I overestimated my capabilities in project management which led to unmet

expectations in the project.

2 O OUTLINE WHAT WILL YOU DO DIFFERENTLY ON THE NEXT PROJECT BASED ON

YOUR EXPERIENCE WORKING ON THIS PROJECT?

What I will do differently in the next project is in regard to setting of goals. I will consult my supervisors as

well as friends on the same on having effective goal setting. It will help in balancing everything and in the

successful completion of tasks.

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Appendices:

1. Detailed theoretical analyses.

It is essential to note that a variety of the data stores are usually integrated by the identified Data Warehouses

as well as this information is often utilized but the key leaders as well as managers for enhancing improved

decision making. Data warehousing kinds of environments is associated with the inclusion of extraction

regarding the regional databases that is the Transformation as well as Loading and the Online Analytical

Processing. As any business grows and expands globally, the identified parameters as well as the complexities

entailed in the analysis process as well as decision making usually become highly complex.

2. Tabulated records of results, with reference to instruments or sources as appropriate.

19 PAGE 2 OF 2

Citations (19/19) 1 Another student's paper

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5 https://www.slideshare.net/sunnygandhi777/itb-group-9

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7 http://aqsq.caterinacentofante.it/best-data-warehousing-tools.html

8 https://en.wikipedia.org/wiki?curid=7990

9 Another student's paper

10 ProQuest Document

11 https://en.wikipedia.org/wiki?curid=39657114

12 https://en.wikipedia.org/wiki?curid=794330

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15 Another student's paper

16 https://en.wikipedia.org/wiki?curid=10221795

17 https://en.wikipedia.org/wiki?curid=20420236

18 ProQuest Document

19 https://epdf.pub/the-data-warehouse-lifecycle-toolkit.html

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THE NORMAL FUNCTIONING DATABASES WERE DESTINED TO DELIVER A HELP IN THE CLERICAL PROCESSES OF THE ORGANIZATION BUT DATA WAREHOUSE IS MEANT TO AID THE DECISION MAKERS

databases were destined to deliver a help in the clerical processes of the organization but

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Uploaded - FinalReport-1.0.docx EXPLAIN THE METHODS USED FOR THE DATA COLLECTION IN YOUR PROJECT (THIS INCLUDES LITERATURE

Source - Another student's paper Explain the methods used for the data collection in your

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx BRIEFLY OUTLINE THE RESULTS OF YOUR SYSTEMATIC SEARCH

Source - Another student's paper Briefly outline the results of your systematic search

Suspected Entry: 92 % match

Uploaded - FinalReport-1.0.docx THE CONSISTENT THEMES, ANY GAPS IF APPROPRIATE (ONE OR TWO SENTENCES)

Source - Another student's paper themes, any gaps if appropriate (one or two sentences)

Suspected Entry: 94 % match

Uploaded - FinalReport-1.0.docx INCLUDE THE ORIGINAL PROJECT TOPIC OUTLINE THAT YOU CHOSE FOR YOUR PROJECT

Source - Another student's paper Project Topic • Include the original project topic outline that you chose for your

Suspected Entry: 64 % match

Uploaded - FinalReport-1.0.docx DATA WAREHOUSING DEFINITION

Source - Another student's paper Beyond data warehousing

Suspected Entry: 64 % match

Uploaded - FinalReport-1.0.docx EXAMPLE OF DATA WAREHOUSING

Source - Another student's paper Beyond data warehousing

Suspected Entry: 71 % match

Uploaded - FinalReport-1.0.docx RELEVANCE OF DATA WAREHOUSE

Source - Another student's paper The data warehouse

Suspected Entry: 74 % match

Uploaded - FinalReport-1.0.docx DATA WAREHOUSE ARCHITECTURE

Source - Another student's paper The data warehouse

Suspected Entry: 75 % match

Uploaded - FinalReport-1.0.docx CHARACTERISTICS OF DATA WAREHOUSE

Source - Another student's paper The data warehouse

Suspected Entry: 75 % match

Uploaded - FinalReport-1.0.docx ANALYSIS OF DATA WAREHOUSE

Source - Another student's paper The data warehouse

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx B., & AL-DALAHMEH, M

Source - Another student's paper B., & Al-Dalahmeh, M

Suspected Entry: 92 % match

Uploaded - FinalReport-1.0.docx DATA WAREHOUSE SUCCESS AND STRATEGIC ORIENTED BUSINESS INTELLIGENCE

Source - Another student's paper 4) Data warehouse success and strategic oriented business intelligence

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx A THEORETICAL FRAMEWORK

Source - Another student's paper a theoretical framework

Suspected Entry: 72 % match

Uploaded - FinalReport-1.0.docx ARXIV PREPRINT ARXIV:1307.7328

Source - Another student's paper arXiv:1307.7328

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx J., FISHER, J

Source - Another student's paper J., Fisher, J

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx W., HEVNER, A

Source - Another student's paper W., Hevner, A

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx R., & STUDNICKI, J

Source - Another student's paper R., & Studnicki, J

Suspected Entry: 89 % match

Uploaded - FinalReport-1.0.docx HEALTHCARE DATA WAREHOUSING AND QUALITY ASSURANCE

Source - Another student's paper 2) Healthcare data warehousing and quality assurance

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx COMPUTER, 34(12), 56-65

Source - Another student's paper Computer, 34(12), 56-65

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx GUPTA, A., AGARWAL, D., TAN, D., KULESZA, J., PATHAK, R., STEFANI, S., & SRINIVASAN, V

Source - Another student's paper Gupta, A., Agarwal, D., Tan, D., Kulesza, J., Pathak, R., Stefani, S., & Srinivasan, V

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx AMAZON REDSHIFT AND THE CASE FOR SIMPLER DATA WAREHOUSES

Source - Another student's paper Amazon redshift and the case for simpler data warehouses

Suspected Entry: 89 % match

Uploaded - FinalReport-1.0.docx IN PROCEEDINGS OF THE 2015 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA (PP

Source - Another student's paper In Proceedings of the 2015 ACM SIGMOD international conference on management

Suspected Entry: 81 % match

Uploaded - FinalReport-1.0.docx WHY APPLE, EBAY, AND WALMART HAVE SOME OF THE BIGGEST DATA WAREHOUSES YOU’VE EVER SEEN

Source - Another student's paper apple-ebay-and-walmart-have-some-of-the-biggest-data-warehouses- youve-ever-

Suspected Entry: 77 % match

Uploaded - FinalReport-1.0.docx Source - Another student's paper

COM/2013/03/27/WHY-APPLE-EBAY-AND-WALMART-HAVE-SOME-OF- THE-BIGGEST-DATA-WAREHOUSES-YOUVE-EVER-SEEN

apple-ebay-and-walmart-have-some-of-the-biggest-data-warehouses- youve-ever-

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx JEBLE, S., KUMARI, S., & PATIL, Y

Source - Another student's paper Jeble, S., Kumari, S., & Patil, Y

Suspected Entry: 89 % match

Uploaded - FinalReport-1.0.docx ROLE OF BIG DATA IN DECISION MAKING

Source - Another student's paper Role of big data in decision

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx OPERATIONS AND SUPPLY CHAIN MANAGEMENT

Source - Another student's paper Operations and Supply Chain Management

Suspected Entry: 78 % match

Uploaded - FinalReport-1.0.docx AN INTERNATIONAL JOURNAL, 11(1), 36-44

Source - Another student's paper An International Journal, 11(1),

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx FERNÁNDEZ-MANZANO, E

Source - Another student's paper Fernández-Manzano, E

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx P., NEIRA, E., & CLARES-GAVILÁN, J

Source - Another student's paper P., Neira, E., & Clares-Gavilán, J

Suspected Entry: 86 % match

Uploaded - FinalReport-1.0.docx DATA MANAGEMENT IN AUDIOVISUAL BUSINESS

Source - Another student's paper management in audiovisual business

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx NETFLIX AS A CASE STUDY

Source - Another student's paper Netflix as a case study

Suspected Entry: 76 % match

Uploaded - FinalReport-1.0.docx EL PROFESIONAL DE LA INFORMACIÓN (EPI), 25(4), 568-576

Source - Another student's paper información (EPI), 25(4), 568-576

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx DOBBS, T., STONE, M., & ABBOTT, J

Source - Another student's paper Dobbs, T., Stone, M., & Abbott, J

Suspected Entry: 90 % match

Uploaded - FinalReport-1.0.docx UK DATA WAREHOUSING AND BUSINESS INTELLIGENCE IMPLEMENTATION

Source - Another student's paper 5) UK data warehousing and business intelligence implementation

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx QUALITATIVE MARKET RESEARCH

Source - Another student's paper Qualitative Market Research

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx AN INTERNATIONAL JOURNAL

Source - Another student's paper An International Journal

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx GOLFARELLI, M., RIZZI, S., & CELLA, I

Source - Another student's paper Golfarelli, M., Rizzi, S., & Cella, I

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx BEYOND DATA WAREHOUSING

Source - Another student's paper Beyond data warehousing

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx WHAT'S NEXT IN BUSINESS INTELLIGENCE

Source - Another student's paper what's next in business intelligence

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx ZHOU, H., YANG, D., & XU, Y

Source - Another student's paper Zhou, H., Yang, D., & Xu, Y

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx AN ETL STRATEGY FOR REAL-TIME DATA WAREHOUSE

Source - Another student's paper An ETL strategy for real-time data warehouse

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx IN PRACTICAL APPLICATIONS OF INTELLIGENT SYSTEMS (PP

Source - Another student's paper In Practical applications of intelligent systems (pp

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx THE DATA WAREHOUSE AND DATA MINING

Source - Another student's paper The data warehouse and data mining

Suspected Entry: 90 % match

Uploaded - FinalReport-1.0.docx COMMUNICATIONS OF THE ACM, 39(11), 49-51

Source - Another student's paper ACM, 39(11), 49-51

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx INFORMATION SYSTEM INTEGRATION

Source - Another student's paper Information system integration

Suspected Entry: 90 % match

Uploaded - FinalReport-1.0.docx COMMUNICATIONS OF THE ACM, 43(6), 32-38

Source - Another student's paper ACM, 43(6), 32-38

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx DATA WAREHOUSE APPLICATIONS IN MODERN DAY BUSINESS

Source - Another student's paper Data warehouse applications in modern day business

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx AL-DEBEI, M

Source - Another student's paper Al-Debei, M

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx DATA WAREHOUSE AS A BACKBONE FOR BUSINESS INTELLIGENCE

Source - Another student's paper Data warehouse as a backbone for business intelligence

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx ISSUES AND CHALLENGES

Source - Another student's paper Issues and challenges

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx STULLER, "INCONSISTENCIES IN DATA WAREHOUSING,"

Source - Another student's paper Stuller, "Inconsistencies in data warehousing,"

Suspected Entry: 78 % match

Uploaded - FinalReport-1.0.docx PROCEEDINGS 1999 INTERNATIONAL SYMPOSIUM ON DATABASE APPLICATIONS IN NON-TRADITIONAL ENVIRONMENTS (DANTE'99) ( CAT

Source - Another student's paper Symposium on Database Applications in Non-Traditional Environments ( DANTE' 99)

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx NO.PR00496), 1999, PP

Source - Another student's paper No.PR00496), 1999, pp

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx 43-50 , DOI

Source - Another student's paper 43-50 , doi

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx 10.1109 /DANTE. 1999.844940

Source - Another student's paper 10.1109 /DANTE. 1999.844940

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx BOUADI, T., CORDIER, M.O., MOREAU, P., QUINIOU, R., SALMON- MONVIOLA, J

Source - Another student's paper Bouadi, T., Cordier, M.O., Moreau, P., Quiniou, R., Salmon-Monviola, J

Suspected Entry: 97 % match

Uploaded - FinalReport-1.0.docx AND GASCUEL-ODOUX, C., 2017

Source - Another student's paper Gascuel-Odoux, C., 2017

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx ENVIRONMENTAL MODELLING & SOFTWARE, 97, PP.229-242

Source - Another student's paper Environmental modelling & software, 97, pp.229-242

Suspected Entry: 89 % match

Uploaded - FinalReport-1.0.docx KORTÜM, K.U., MÜLLER, M., KERN, C., BABENKO, A., MAYER, W.J., KAMPIK, A., KREUTZER, T.C., PRIGLINGER, S

Source - Another student's paper Kortüm, K.U., Müller, M., Kern, C., Babenko, A., Mayer, W.J., Kampik, A., Kreutzer,

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx AND HIRNEISS, C., 2017

Source - Another student's paper and Hirneiss, C., 2017

Suspected Entry: 70 % match

Uploaded - FinalReport-1.0.docx USING ELECTRONIC HEALTH RECORDS TO BUILD AN OPHTHALMOLOGIC DATA WAREHOUSE AND VISUALIZE PATIENTS&APOS

Source - Another student's paper ophthalmologic data warehouse and visualize patients&apos

Suspected Entry: 84 % match

Uploaded - FinalReport-1.0.docx AMERICAN JOURNAL OF OPHTHALMOLOGY, 178, PP.84-93

Source - Another student's paper ophthalmology, 178, pp.84-93

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx Source - Another student's paper

MADURAPPERUMA, S., EBERT, L Madurapperuma, S., Ebert, L

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx AND KURUPPUARACHCHI, D., 2018

Source - Another student's paper and Kuruppuarachchi, D., 2018

Suspected Entry: 88 % match

Uploaded - FinalReport-1.0.docx IN-HOUSE DEVELOPMENT & IMPLEMENTATION OF ‘COREBRAIN’WAREHOUSE MANAGEMENT SYSTEM

Source - Another student's paper development & implementation of ‘corebrain’warehouse management system

Suspected Entry: 78 % match

Uploaded - FinalReport-1.0.docx IN PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE IN TECHNOLOGY MANAGEMENT, INCOTEM (PP

Source - Another student's paper In Proceedings of the 2nd International Conference in Technology

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx SENEVIRATNE, M.G., SETO, T., BLAYNEY, D.W., BROOKS, J.D

Source - Another student's paper Seneviratne, M.G., Seto, T., Blayney, D.W., Brooks, J.D

Suspected Entry: 69 % match

Uploaded - FinalReport-1.0.docx AND HERNANDEZ-BOUSSARD, T., 2018

Source - Another student's paper and Hernandez-Boussard,

Suspected Entry: 87 % match

Uploaded - FinalReport-1.0.docx ARCHITECTURE AND IMPLEMENTATION OF A CLINICAL RESEARCH DATA WAREHOUSE FOR PROSTATE CANCER

Source - Another student's paper Architecture and implementation of a clinical research data warehouse for

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx EGEMS, 6(1)

Source - Another student's paper eGEMs, 6(1)

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx AND WATSON, H., 2010

Source - Another student's paper and Watson, H., 2010

Suspected Entry: 70 % match

Uploaded - FinalReport-1.0.docx KEY ORGANIZATIONAL FACTORS IN DATA WAREHOUSE ARCHITECTURE SELECTION

Source - Another student's paper Key organizational factors in data

Suspected Entry: 100 % match

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx RAZA, B., ASLAM, A., SHER, A., MALIK, A.K

Source - Another student's paper Raza, B., Aslam, A., Sher, A., Malik, A.K

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx AND FAHEEM, M., 2020

Source - Another student's paper and Faheem, M., 2020

Suspected Entry: 90 % match

Uploaded - FinalReport-1.0.docx AUTONOMIC PERFORMANCE PREDICTION FRAMEWORK FOR DATA WAREHOUSE QUERIES USING LAZY LEARNING APPROACH

Source - Another student's paper performance prediction framework for data warehouse queries using lazy learning

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx APPLIED SOFT COMPUTING, 91, P.106216

Source - Another student's paper Applied Soft Computing, 91, p.106216

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx SYLVESTRE, E., BOUZILLÉ, G., CHAZARD, E., HIS-MAHIER, C., RIOU, C

Source - Another student's paper Sylvestre, E., Bouzillé, G., Chazard, E., His-Mahier, C., Riou, C

Suspected Entry: 76 % match

Uploaded - FinalReport-1.0.docx AND CUGGIA, M., 2018

Source - Another student's paper and Cuggia, M.,

Suspected Entry: 67 % match

Uploaded - FinalReport-1.0.docx COMBINING INFORMATION FROM A CLINICAL DATA WAREHOUSE AND A PHARMACEUTICAL DATABASE TO GENERATE A FRAMEWORK TO DETECT COMORBIDITIES IN ELECTRONIC HEALTH RECORDS

Source - Another student's paper database to generate a framework to detect comorbidities in electronic health

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx BMC MEDICAL INFORMATICS AND DECISION MAKING, 18(1), PP.1-8

Source - Another student's paper BMC medical informatics and decision making, 18(1), pp.1-8

Uploaded - FinalReport-1.0.docx DECISION SUPPORT SYSTEMS, 49(2), PP.200-212

Source - Another student's paper Decision support systems, 49(2), pp.200-212

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx AND TEKINERDOGAN, B., 2019

Source - Another student's paper and Tekinerdogan, B., 2019

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx PRECISION AGRICULTURE, 20(5), PP.926-958

Source - Another student's paper Precision Agriculture, 20(5), pp.926-958

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx VORONKOVA, O.V., KUROCHKINA, A.A., FIROVA, I.P

Source - Another student's paper VORONKOVA, O.V., KUROCHKINA, A.A., FIROVA, I.P

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx AND BIKEZINA, T.V., 2017

Source - Another student's paper and BIKEZINA, T.V., 2017

Suspected Entry: 86 % match

Uploaded - FinalReport-1.0.docx IMPLEMENTATION OF AN INFORMATION MANAGEMENT SYSTEM FOR INDUSTRIAL ENTERPRISE RESOURCE PLANNING

Source - Another student's paper Implementation of an information management system for industrial enterprise

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx REVISTA ESPACIOS, 38(49)

Source - Another student's paper Revista Espacios, 38(49)

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx DE MUL, M., ALONS, P., VAN DER VELDE, P., KONINGS, I., BAKKER, J

Source - Another student's paper De Mul, M., Alons, P., Van der Velde, P., Konings, I., Bakker, J

Suspected Entry: 76 % match

Uploaded - FinalReport-1.0.docx AND HAZELZET, J., 2012

Source - Another student's paper and Hazelzet, J.,

Suspected Entry: 91 % match

Uploaded - FinalReport-1.0.docx DEVELOPMENT OF A CLINICAL DATA WAREHOUSE FROM AN INTENSIVE CARE CLINICAL INFORMATION SYSTEM

Source - Another student's paper Development of a clinical data warehouse from an intensive care clinical

Suspected Entry: 93 % match

Uploaded - FinalReport-1.0.docx COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 105(1), PP.22-30

Source - Another student's paper Computer methods and programs in biomedicine, 105(1), pp.22-

Suspected Entry: 62 % match

Uploaded - FinalReport-1.0.docx PROJECT TOPIC OUTLINE

Source - Another student's paper 2019 Project Outline

Suspected Entry: 93 % match

Uploaded - FinalReport-1.0.docx O DID THE PROJECT MEET SCOPE, TIME, AND COST GOALS

Source - Another student's paper · Did the project meet scope, time, and cost goals

Suspected Entry: 80 % match

Uploaded - FinalReport-1.0.docx O REGARDING MANAGING THE PROJECT, WHAT WERE THE MAIN LESSONS YOU LEARNED

Source - Another student's paper · In terms of managing the project, what were the main lessons you learned

Suspected Entry: 93 % match

Uploaded - FinalReport-1.0.docx O DESCRIBE ONE EXAMPLE OF WHAT WENT RIGHT ON THIS PROJECT

Source - Another student's paper · Describe one example of what went right on this project

Suspected Entry: 93 % match

Uploaded - FinalReport-1.0.docx O DESCRIBE ONE EXAMPLE OF WHAT WENT WRONG ON THIS PROJECT

Source - Another student's paper · Describe one example of what went wrong on this project

Suspected Entry: 96 % match

Uploaded - FinalReport-1.0.docx O OUTLINE WHAT WILL YOU DO DIFFERENTLY ON THE NEXT PROJECT BASED ON YOUR EXPERIENCE WORKING ON THIS PROJECT

Source - Another student's paper · Outline what will you do differently on the next project based on your experience working on this project

Suspected Entry: 62 % match

Uploaded - FinalReport-1.0.docx PROJECT TOPIC OUTLINE

Source - Another student's paper 2019 Project Outline

Suspected Entry: 93 % match

Uploaded - FinalReport-1.0.docx O DID THE PROJECT MEET SCOPE, TIME, AND COST GOALS

Source - Another student's paper · Did the project meet scope, time, and cost goals

Suspected Entry: 87 % match

Uploaded - FinalReport-1.0.docx THE PROJECT DID MEET THE SCOPE AS WELL AS TIME AND THE COST GOALS

Source - Another student's paper · Did the project meet scope, time, and cost goals

Suspected Entry: 80 % match

Uploaded - FinalReport-1.0.docx O REGARDING MANAGING THE PROJECT, WHAT WERE THE MAIN LESSONS YOU LEARNED

Source - Another student's paper · In terms of managing the project, what were the main lessons you learned

Suspected Entry: 93 % match

Uploaded - FinalReport-1.0.docx O DESCRIBE ONE EXAMPLE OF WHAT WENT RIGHT ON THIS PROJECT

Source - Another student's paper · Describe one example of what went right on this project

Suspected Entry: 93 % match

Uploaded - FinalReport-1.0.docx O DESCRIBE ONE EXAMPLE OF WHAT WENT WRONG ON THIS PROJECT

Source - Another student's paper · Describe one example of what went wrong on this project

Suspected Entry: 96 % match

Uploaded - FinalReport-1.0.docx O OUTLINE WHAT WILL YOU DO DIFFERENTLY ON THE NEXT PROJECT BASED ON YOUR EXPERIENCE WORKING ON THIS PROJECT

Source - Another student's paper · Outline what will you do differently on the next project based on your experience working on this project

Suspected Entry: 75 % match

Uploaded - FinalReport-1.0.docx O MEANINGFULLY SYNTHESIZE CONNECTIONS AMONG EXPERIENCES FROM THE PROJECT (INCLUDING LIFE EXPERIENCES AND ACADEMIC EXPERIENCES) TO DEEPEN UNDERSTANDING OF FIELDS OF STUDY AND TO BROADEN OWN POINTS OF VIEW

Source - Another student's paper Meaningfully synthesizes connections among experiences outside of the formal classroom (including life experiences and academic experiences such as internships and travel abroad) to deepen understanding of fields of study and to broaden own points of view

Suspected Entry: 88 % match

Uploaded - FinalReport-1.0.docx CHOOSE A VARIETY OF INFORMATION SOURCES APPROPRIATE TO THE SCOPE AND DISCIPLINE OF THE RESEARCH QUESTION

Source - Another student's paper Chooses a variety of information sources appropriate to the scope and discipline of the research question

Suspected Entry: 89 % match

Uploaded - FinalReport-1.0.docx SYNTHESIZE IN-DEPTH INFORMATION FROM RELEVANT SOURCES REPRESENTING VARIOUS POINTS OF VIEW/APPROACHES

Source - Another student's paper Presents in-depth information from relevant sources representing various points of view/approaches

Suspected Entry: 90 % match

Uploaded - FinalReport-1.0.docx SOLUTION/ HYPOTHESES SHOULD BE SENSITIVE TO CONTEXTUAL FACTORS AS WELL AS ALL OF THE FOLLOWING

Source - Another student's paper Solution/hypotheses are sensitive to contextual factors as well as all of the following

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx ETHICAL, LOGICAL, AND CULTURAL DIMENSIONS OF THE PROBLEM

Source - Another student's paper ethical, logical, and cultural dimensions of the problem

Suspected Entry: 81 % match

Uploaded - FinalReport-1.0.docx EVALUATION OF SOLUTIONS SHOULD BE DEEP AND ELEGANT ( FOR EXAMPLE, SHOULD CONTAIN THOROUGH AND INSIGHTFUL

Source - Another student's paper Evaluate Potential Solutions Evaluation of solutions is deep and elegant ( for example, contains thorough and insightful explanation) and includes, deeply and thoroughly, all of the following

EXPLANATION) AND INCLUDES, DEEPLY AND THOROUGHLY, ALL OF THE FOLLOWING

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx CONSIDERS HISTORY OF PROBLEM, REVIEWS LOGIC/ REASONING, EXAMINES FEASIBILITY OF SOLUTION, AND WEIGHS IMPACTS OF SOLUTION

Source - Another student's paper considers history of problem, reviews logic/reasoning, examines feasibility of solution, and weighs impacts of solution

Suspected Entry: 91 % match

Uploaded - FinalReport-1.0.docx IMPLEMENT THE SOLUTION IN A MANNER THAT ADDRESSES THOROUGHLY AND DEEPLY MULTIPLE CONTEXTUAL FACTORS OF THE PROBLEM

Source - Another student's paper Implement Solution Implements the solution in a manner that addresses thoroughly and deeply multiple contextual factors of the problem

Suspected Entry: 82 % match

Uploaded - FinalReport-1.0.docx REVIEW RESULTS RELATIVE TO THE PROBLEM DEFINED WITH THOROUGH, SPECIFIC CONSIDERATIONS OF NEED FOR FURTHER WORK

Source - Another student's paper Evaluate Outcomes Reviews results relative to the problem defined with thorough, specific considerations of need for further work

Suspected Entry: 75 % match

Uploaded - FinalReport-1.0.docx O MEANINGFULLY SYNTHESIZE CONNECTIONS AMONG EXPERIENCES FROM THE PROJECT (INCLUDING LIFE EXPERIENCES AND ACADEMIC EXPERIENCES) TO DEEPEN UNDERSTANDING OF FIELDS OF STUDY AND TO BROADEN OWN POINTS OF VIEW

Source - Another student's paper Meaningfully synthesizes connections among experiences outside of the formal classroom (including life experiences and academic experiences such as internships and travel abroad) to deepen understanding of fields of study and to broaden own points of view

Suspected Entry: 93 % match

Uploaded - FinalReport-1.0.docx MAKE EXPLICIT REFERENCES TO PREVIOUS LEARNING AND APPLIES IN AN INNOVATIVE (NEW AND CREATIVE) WAY THAT KNOWLEDGE AND THOSE SKILLS TO DEMONSTRATE COMPREHENSION AND PERFORMANCE IN NOVEL SITUATIONS

Source - Another student's paper Transfer Makes explicit references to previous learning and applies in an innovative (new and creative) way that knowledge and those skills to demonstrate comprehension and performance in novel situations

Suspected Entry: 92 % match

Uploaded - FinalReport-1.0.docx ENVISION A FUTURE SELF (AND POSSIBLY MAKES PLANS THAT BUILD ON PAST EXPERIENCES) THAT HAVE OCCURRED ACROSS MULTIPLE AND DIVERSE CONTEXTS

Source - Another student's paper Envisions a future self (and possibly makes plans that build on past experiences) that have occurred across multiple and diverse contexts

Suspected Entry: 89 % match

Uploaded - FinalReport-1.0.docx O WERE THE IT PRACTICES USED IN YOUR PROJECT CONDUCTED ETHICALLY (USE THE ACS CODE OF ETHICS TO RESPOND) 26

Source - Another student's paper b) Were the IT practices used in your project conducted ethically (use the ACS Code of Ethics to respond)

Suspected Entry: 72 % match

Uploaded - FinalReport-1.0.docx FIGURE 1 DATA WAREHOUSE

Source - https://www.slideshare.net/sunnygandhi777/itb-group-9 The Disadvantagesofa Data Warehouse 1

Suspected Entry: 91 % match

Uploaded - FinalReport-1.0.docx WRITE AN EXCEPTIONAL INTRODUCTION THAT GRABS INTEREST OF READER AND STATES TOPIC CLEARLY

Source - Another student's paper Exceptional introduction that grabs interest of reader and states topic clearly

Suspected Entry: 91 % match

Uploaded - FinalReport-1.0.docx WRITE AN EXCELLENT DESCRIPTION OF RESEARCH QUESTION, PROBLEM (INCLUDING STATEMENT OF PURPOSE AND RELEVANCE)

Source - Another student's paper - Excellent description of research question, problem (including statement of purpose and relevance)

Suspected Entry: 77 % match

Uploaded - FinalReport-1.0.docx THE SCOPE SHOULD INCLUDE CONTEXT, BOUNDARIES AND ASSUMPTIONS

Source - Another student's paper - Scope includes context, boundaries and assumptions

Suspected Entry: 94 % match

Uploaded - FinalReport-1.0.docx SELECT SOURCES AFTER CONSIDERING THE IMPORTANCE (TO THE RESEARCHED TOPIC) OF ALL CRITERIA USED (SUCH AS RELEVANCE TO THE RESEARCH QUESTION, CURRENCY, AUTHORITY, AUDIENCE, AND BIAS OR POINT OF VIEW)

Source - Another student's paper Selects sources after considering the importance (to the researched topic) of all criteria used (such as relevance to the research question, currency, authority, audience, and bias or point of view)

Suspected Entry: 89 % match

Uploaded - FinalReport-1.0.docx ALL ELEMENTS OF THE METHODOLOGY OR THEORETICAL FRAMEWORK SHOULD BE SKILFULLY DEVELOPED

Source - Another student's paper All elements of the methodology or theoretical framework are skilfully developed

Suspected Entry: 92 % match

Uploaded - FinalReport-1.0.docx APPROPRIATE METHODOLOGY OR THEORETICAL FRAMEWORKS MAY BE SYNTHESISED FROM ACROSS DISCIPLINES OR FROM RELEVANT SUB DISCIPLINES

Source - Another student's paper Appropriate methodology or theoretical frameworks may be synthesized from across disciplines or from relevant sub disciplines

Suspected Entry: 81 % match

Uploaded - FinalReport-1.0.docx ORGANIZE AND SYNTHESIZE EVIDENCE EXCELLENTLY TO REVEAL INSIGHTFUL PATTERNS, DIFFERENCES, OR SIMILARITIES RELATED TO FOCUS

Source - Another student's paper - Organises and synthesises evidence excellently to reveal insightful patterns, differences, or similarities related to focus

Suspected Entry: 86 % match

Uploaded - FinalReport-1.0.docx INSIGHTFULLY DISCUSS IN DETAIL RELEVANT AND SUPPORTED LIMITATIONS AND IMPLICATIONS

Source - Another student's paper - Insightfully discusses in detail relevant and supported limitations and implications

Suspected Entry: 72 % match

Uploaded - FinalReport-1.0.docx DATA WAREHOUSE IS CONSIDERED TO BE A SUBJECT ORIENTED AS WELL AS TIME VARIANT, INTEGRATED AND EVEN NON VOLATILE GATHERING OF DATA

Source - http://aqsq.caterinacentofante.it/best-data-warehousing- tools.html Bill Inmon, considered to be the father of the data warehousing provides the following definition "A data warehouse is a Subject-oriented, Integrated, Non-volatile, And time variant

Suspected Entry: 72 % match

Uploaded - FinalReport-1.0.docx DATA WAREHOUSE IS CONSIDERED TO BE A SUBJECT ORIENTED AS WELL AS TIME VARIANT, INTEGRATED AND EVEN NON VOLATILE GATHERING OF DATA

Source - http://aqsq.caterinacentofante.it/best-data-warehousing- tools.html Bill Inmon, considered to be the father of the data warehousing provides the following definition "A data warehouse is a Subject-oriented, Integrated, Non-volatile, And time variant

Suspected Entry: 72 % match

Uploaded - FinalReport-1.0.docx A DATA WAREHOUSE USUALLY IS ASSOCIATED WITH MAINTAINING THE COPY OF INFORMATION FROM THE GIVEN SOURCE OF TRANSACTION SYSTEMS

Source - https://en.wikipedia.org/wiki?curid=7990 A data warehouse maintains a copy of information from the source transaction systems

Suspected Entry: 71 % match

Uploaded - FinalReport-1.0.docx MORE LEVEL OF CONGREGATION REGARDING DATA TO THE SINGLE DATABASES SO A SINGLE KIND OF QUERY ENGINE CAN BE UTILIZED IN THE PRESENTATION OF DATA IN AN IDENTIFIED ODS

Source - https://en.wikipedia.org/wiki?curid=7990 More congregation of data to single database so a single query engine can be used to present data in an ODS

Suspected Entry: 72 % match

Uploaded - FinalReport-1.0.docx IT ALSO OFFERS THE OPPORTUNITY TO MITIGATE THE ISSUE REGARDING THE GIVEN DATABASE ISOLATION LEVEL LOCK KIND OF CONTENTION IN THE IDENTIFIED TRANSACTION PROCESSING SYSTEMS THAT IS CAUSED BY THE KEY ATTEMPTS TO OPERATE LATHE AS WELL AS LONG RUNNING ANALYSIS KIND OF QUERIES IN THE TRANSACTION PROCESSING KINDS OF DATABASES

Source - https://en.wikipedia.org/wiki?curid=7990 Mitigate the problem of database isolation level lock contention in transaction processing systems caused by attempts to run large, long- running analysis queries in transaction processing databases

Suspected Entry: 62 % match

Uploaded - FinalReport-1.0.docx IT ALSO OFFERS A SINGLE COMMON KIND OF DATA MODEL FOR ALL THE GIVEN DATA REGARDING INTEREST OF THE ORGANIZATION DESPITE THE SOURCE OF THE DATA

Source - https://en.wikipedia.org/wiki?curid=7990 Provide a single common data model for all data of interest regardless of the data's source

Suspected Entry: 88 % match

Uploaded - FinalReport-1.0.docx PROPOSE ONE OR MORE SOLUTIONS/ HYPOTHESES THAT INDICATE A DEEP COMPREHENSION OF THE PROBLEM

Source - Another student's paper Propose one or more solutions/hypotheses that indicates a deep comprehension of the problem

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx TOP MANAGEMENT'S ROLE IN PROMOTING DECISION SUPPORT SYSTEMS EFFICIENCY

Source - ProQuest Document Top Management's Role in Promoting Decision Support Systems Efficiency

Suspected Entry: 65 % match

Uploaded - FinalReport-1.0.docx AN EXPLORATORY STUDY IN GOVERNMENT SECTOR IN SAUDI ARABIA

Source - ProQuest Document An Exploratory Study in Government Sector in Saudi Arabia Top Management's Role in Promoting Decision Support Systems Efficiency

Suspected Entry: 74 % match

Uploaded - FinalReport-1.0.docx IN PROCEEDINGS OF THE 7TH ACM INTERNATIONAL WORKSHOP ON DATA WAREHOUSING AND OLAP (PP

Source - https://en.wikipedia.org/wiki?curid=39657114 Proceedings of the ACM tenth international workshop on Data warehousing and OLAP - DOLAP '07

Suspected Entry: 62 % match

Uploaded - FinalReport-1.0.docx SPRINGER, BERLIN, HEIDELBERG

Source - https://en.wikipedia.org/wiki?curid=794330 In Springer, Heidelberg (ed.)

Suspected Entry: 93 % match

Uploaded - FinalReport-1.0.docx EUROPEAN JOURNAL OF ECONOMICS, FINANCE AND ADMINISTRATIVE SCIENCES, 33(1), 153-166

Source - Another student's paper European Journal of Economics, Finance & Administrative Sciences, (33), 153-166

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx A DATA WAREHOUSE TO EXPLORE MULTIDIMENSIONAL SIMULATED DATA FROM A SPATIALLY DISTRIBUTED AGRO- HYDROLOGICAL MODEL TO IMPROVE CATCHMENT NITROGEN MANAGEMENT

Source - Another student's paper A Data Warehouse to Explore Multidimensional Simulated Data From a Spatially Distributed Agro-hydrological Model to Improve Catchment Nitrogen Management

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx A CASE STUDY

Source - Another student's paper A Case Study

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx ARCHITECTURE DESIGN APPROACH FOR IOT-BASED FARM MANAGEMENT INFORMATION SYSTEMS

Source - Another student's paper Architecture design approach for iot-based farm management information systems

Suspected Entry: 100 % match

Uploaded - FinalReport-1.0.docx JOURNAL OF INTEGRATIVE BIOINFORMATICS

Source - https://en.wikipedia.org/wiki?curid=10221795 Journal of Integrative Bioinformatics

Suspected Entry: 63 % match

Uploaded - FinalReport-1.0.docx MANAGING DATA QUALITY OF THE DATA WAREHOUSE

Source - https://en.wikipedia.org/wiki?curid=20420236 Foundations of Data Warehouse Quality

Suspected Entry: 65 % match

Uploaded - FinalReport-1.0.docx C., KORTE, M

Source - ProQuest Document in M.C

Suspected Entry: 66 % match

Uploaded - FinalReport-1.0.docx PAGE 2 OF 2

Source - https://epdf.pub/the-data-warehouse-lifecycle-toolkit.html Figure 2-2