Practical connection assignment

9/20/2020 Originality Report

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SafeAssign Originality Report Fall 2020 - Business Intelligence (ITS-531-M22) - Full Term • Practical Connections assignment

%43Total Score: High riskPoornima Devi Potula Submission UUID: f221662d-bab5-5e3f-1267-ca3172b5d6a8

Total Number of Reports

1 Highest Match

43 % BusinessIntelligence.docx

Average Match

43 % Submitted on

09/20/20 04:18 PM EDT

Average Word Count

629 Highest: BusinessIntelligence.docx

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Student paper Student paper

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Word Count: 629 BusinessIntelligence.docx

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9/20/2020 Originality Report

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Running Head: BUSINESS INTELLIGENCE

BUSINESS INTELLIGENCE

Business Intelligence

Name: Poornima Devi Potula

Date: 09/20/2020

Business Intelligence

Business Intelligence (BI), is inclusive of all the technologies and strategies that are used by enterprises for the business information data analysis. Business

Intelligence technologies provide predictive, historical, and current views on the operations of a particular business. The knowledge that comes with business intelligence technologies includes data mining, business performance management, benchmarking, and analytics among others (Alpar &Schulz 2016). The significance of this knowledge is that it helps one to well manage large amounts of both structured and unstructured data in ways of identifying, developing, and even at times coming up with strategic business opportunities. The BI technologies aim to ease the interpretation of big data as well as identifying and implementing new opportunities into effective strategies that have the basis of having potential that have the capability of providing business together with a ‘competitive market advantage and long-term stability.’ BI is important to enterprises who manipulate to get the advantage of supporting a wide range of business decisions that range from operational to strategic. Product positional or rather pricing strategic business is one of the examples of basic operating decisions and it involves

directions, priorities, and goals at the broadest level. In many cases, business intelligence has proved to be the most effective in terms of data combination

directly derived from the market in which a company operates from, external data, with data which is derived from a company's internal sources such as operational and financial data. When the two sets of data are finally combined they provide a full picture that in effect, establishes an "intelligence" that is impossible to derive from ordinary singular data. Among the many uses of that, there are the tools of business intelligence most significantly empower organizations to gain insight

and venture into new markets and assess the demand as well as the suitability of services and products for the segments of various markets and also gauge the marketing efforts impact. Business Intelligence can be applied to many business purposes including the following; Analytics where it can be manipulated to

quantify the processes for a business to come in terms with its optimal decisions and also perform the discovery of business knowledge. At times, analytics may involve process mining, data mining, predictive analysis, statistical analysis, and prescriptive analysis among others. The second application is knowledge management where it focuses majorly on the creation, distribution, and management of both business knowledge and business intelligence in general. The

significance of business management is that it leads to the regulatory compliance and management of learning in a particular organization. The other application of business intelligence is that it facilitates the collaboration of both internal and external business by making the interchange of electronic data and data sharing possible. The last application is 'business process management' where benchmarking and performance metrics are applied to give business leaders information on the current progress that is made towards the objectives of the business. "The business intelligence industry has grown and is still rapidly evolving showing no sign of slowing down. As with any term as important as business intelligence, there is a lot of confusion about what is and how it may apply to your business (Larson & Chang 2016).” In simpler terms, Business Intelligence examples are the software tools that make it possible to establish values from a huge amount of data and aid in the development of new opportunities.

REFERENCE Alpar, P., & Schulz, M. (2016). Self-service business intelligence. Business & Information Systems Engineering, 58(2), 151-155. Larson, D., & Chang, V.

(2016). A review and future direction of agile, business intelligence, analytics, and data science. International Journal of Information Management, 36(5), 700-710.

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Student paper

Business Intelligence (BI), is inclusive of all the technologies and strategies that are used by enterprises for the business information data analysis.

Original source

Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information

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Student paper

Business Intelligence technologies provide predictive, historical, and current views on the operations of a particular business.

Original source

Business Intelligence technologies provide historical, current and predictive views of business operations

9/20/2020 Originality Report

https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport/ultra?attemptId=b0e07df6-c2c9-4d44-8cd5-a76893fbe4fd… 3/3

raptorpos 64%

wikipedia 71%

Student paper 78%

wikipedia 77%

wikipedia 66%

Student paper 100%

Student paper 100%

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Student paper

Product positional or rather pricing strategic business is one of the examples of basic operating decisions and it involves directions, priorities, and goals at the broadest level.

Original source

Strategic business decisions include priorities, goals and directions at the broadest level

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Student paper

In many cases, business intelligence has proved to be the most effective in terms of data combination directly derived from the market in which a company operates from, external data, with data which is derived from a company's internal sources such as operational and financial data.

Original source

In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data)

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Student paper

Among the many uses of that, there are the tools of business intelligence most significantly empower organizations to gain insight and venture into new markets and assess the demand as well as the suitability of services and products for the segments of various markets and also gauge the marketing efforts impact.

Original source

Business intelligence tools empower organizations to gain insight into new markets, to assess demand and suitability of products and services for different market segments and to gauge the impact of marketing efforts

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Student paper

Business Intelligence can be applied to many business purposes including the following; Analytics where it can be manipulated to quantify the processes for a business to come in terms with its optimal decisions and also perform the discovery of business knowledge.

Original source

Business intelligence can be applied to the following business purposes:[23] Analytics quantify processes for a business to arrive at optimal decisions, and to perform business knowledge discovery

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Student paper

The significance of business management is that it leads to the regulatory compliance and management of learning in a particular organization.

Original source

Knowledge management leads to learning management and regulatory compliance

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Student paper

Larson, D., & Chang, V.

Original source

Larson, D., & Chang, V

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Student paper

A review and future direction of agile, business intelligence, analytics, and data science. International Journal of Information Management, 36(5), 700- 710.

Original source

A review and future direction of agile, business intelligence, analytics and data science International Journal of Information Management, 36(5), 700-710