Revise MIS
Running Head: BUSINESS ANALYTICS 1
BUSINESS ANALYTICS
13
Business Analytics Plan
Sean Markl
Argosy University
June 15, 2018
Table of Contents INTRODUCTION 1 ADVANTAGES AND DISADVANTAGES OF B.A 1 THE IMPLEMENTATION PLAN………………………………………………………………………………………………………………….3 THE 5 STEPS 4 THE BACK-UP PLAN……………………………………………………………………………………………………………………………….5 CONCLUSION 6 REFERENCES……………………………………………………………………………………………………………………………………………7
INTRODUCTION.
Data is very critical in a business especially in decision making. In defining Business Analytics, it helps in analyzing the data they have in order to make decisions. Business Analytics is the statistical analysis of the business data with an aim of making decisions based on a good evidence rather than a guess. This makes business to operate well with positive resulting emerging as a result of data-based decisions which has inspired me to write this proposal. It should be embraced in your business which deals with assembling of motor parts from Japan. This business will require an analysis of its performance hence making a better projection of its future.
Technology is embraced well the business having everything computerized to even having robots in use which is a right gesture. The analytic evaluation will be very critical examination tool which will aid in tracing the performance of the same business. This can unveil unseen risks at the business or commonly what is referred to as the ‘mighty fall’ in mature businesses. There is therefore necessary that we identify the goal for proposing this process being introduced to the firm. The data collected in every situation for the purposes of this BA will be structured but also unstructured data can also be included were necessary. This data will help us to make some predictions of some sort like getting the target market for new products.
THE ADVANTAGES AND DISADVANTAGES OF B.A
The data analysis that we will use for this process must come from proved channels that will definitely meet our goal and agenda that probably is increasing the output while minimizing the input through proper strategizing. The data is expected to be the right one delivered at the right time to the right person especially in evaluating the market viability of a product. The predictions arrived at are the driving bits to enable in accomplishing the intended target. This incorporates much developed data visualization techniques and methods as opposed to the spreadsheet and other reports that are normally used that may be biased even though technology is fully incorporated as in the case study. The BS tools have become very easy and common to use nowadays through the assistance of professional IT developers and also analysts.
This approach is business driven and not IT driven in the sense that it is tailored to meet the assembling business that you own by creating a specific and a very particular software to aid in the same. Surprisingly this is not even CEO-driven but completely business oriented. In connection to this there is a burning need to create and establish a BI and an analytics center of excellence commonly known as the competent center for data management and control for that matter that will technically suit the ability to analyze the strengths, weaknesses, opportunities as well as the threats of the business.
It has been established in various researches that the business-side participation in centers of excellence and competency centers is very low hence an opportunity to take by doing the exact necessary. The BI will play a major and dominant role in business analytic implementations hence its proposal. (David, 2014)
The goal every business is mainly to gain profit. In this difficult race of businesses to get the profit is no mean feat hence appropriate means must be adopted. Many models adopted by many companies may not end up being successful but this one is almost a guarantee. The emergence of this idea of Big Data and Data Science has become so common in the industry. With great and large amount of data available to get efficient results it is very necessary to adopt certain measures. Business Analytics will help in quantifying the business values. It is a common trend in businesses to train the young employees or retain the old ones instead of accomplishing the quantifying of their business. Instead of taking this long cumbersome route businesses are advised to embrace business analytics which has the ability to transfer this business values into just numbers.
With numbers being involved the company mission statements are also quantified hence helping in focusing the operating processes. Business analytics also bring very good and smart decision-making techniques. In order to arrive at sound decisions in business operations is very key. A business that holds proper data is definitely likely to make accurate decisions that is free from bias. There is a lot of strategic benefits in strength as there is strength in unity. Business analytic provides a very critical data that can be used and analyzed for maximum benefit. One is able to get clearer insights especially through the data visualization process as well as being updated all the moments.
Everything that’s got advantages has got its disadvantages too. The greatest question that should be in the mind of the entrepreneur is to know what the organization will do if it invests. The disadvantages of implementing business analytics can be quite significant but it has its disadvantages too. There a lot of cost associated with incorporating the business analytics which can range from the cost incurred on hardware. Implementation cots and personnel cost are among the costs incurred. The maintenance cost can be quite significant as well. The implementation costs are known to range from $6 million to $3billion according to a research recently conducted.
Smaller firms may not be able to raise this amount hence it is a disadvantage to them. The ineffective business intelligence implementations can be totally attributed to the ineffective management change. Lacking some personnel or the expertise to handle the business can be a loop hole that must be checked. Having the skilled and experienced personnel with the knowledge to operate and manage business analytics by conducting opportunity analysts and process engineering can help in addressing this challenge. This can also be done by assessing the readiness quality with ROI analyses and change in the management. (Charles, 2014)
There is a likely tendency of piling of historical data when business analytics care in use. This is because business analytics deals with the past data and used it to come up with predictable decision for the future. This may amount to a very small portion of what the organization really needs function besides it’s retained worth. When dealing with business analytics complexity is a major disadvantage that must be addressed. Its complexity in data implementation may implicate that the business uses techniques that rigid to deal with which probably may not be the case. This may also result to commercial settings turning out to be more muddled. The implementation of the business analytics is a time-consuming exercise which is a challenge to many industries worldwide that ate not ready to wait for this long implementation process- it may take probably 18 months for a data warehousing system to implement completely in the system. This drawback can be addressed by businesses giving a key thought to the business analytics system.
There are various challenges in faced business analytics. There is a challenge in the alignment of business and the IT. The name business analytics brings out the relationship between the objectives of a business and the IT functionality. For successful implementation of the business analytics there is need to understand the correlation between the two components. The staff and the management must have the clarity of the business processes and its requirements. There must be awareness to improve all the department in the business organization. This calls the need to be able to appreciate the needed as well as the current infrastructure in information and technology. Without the full understanding of this one may not be able to have the right concept on business analytics solution.
THE IMPLEMENTATION PLAN
All investment on the business analytics must be taken as capital investment. Even though the costs incurred are not in machines or other infrastructure the basic idea is that all these things are similar. Most of business owners expect direct returns that arise from sales in terms of numbers which may not be the case in business analytics hence they are mistaken. The efficiency of business analytics and groups is a recommended way to just the performance of a business analytics. The results may not have the direct effect as many expect but may take a little while but as long as the expectations are all correct there is no need to be tensed as all will go well.
There is lots of data overload in many businesses ranging from service and product information to market statics, competitor and customer records. This creates a big challenge in data selection and identification since only important and relevant data is needed hence attracting the sorting. The identification of what to include is the first and the most crucial stage. It is advisable to start with the most useful numbers while the more data points are added later. One should make sure that assistance is provided to all the departments while looking out at the information overload challenge. This calls for the integration of data with other business enterprises. When business stands on their own the business analytics may fail. They may do a job that is got no any mistake but very ineffective.
The integration is hard to achieve in many cases. There is therefore an importance to make prior plans on the systems that are likely to work together and in which way they will work together. It is important also to note that the integration of new business analytics should be done on strategic and technical levels if not operational levels. This is a very cumbersome task seemingly but the benefits normally outlast the efforts. Many companies make a mistake in administration and the security measures.
Business analytics system can be affected by market dynamics as the requirements of the user keep on changing hence the system must be up to date. The old data must be archived for future reference even when one is adding the new data. It is recommended to choose an analytics solution with in-built data archiving property and most likely the cloud-based format. There is a need to have a security system on the archived or stored data. Even though some systems have their own systems it is advisable to add extra protection methods. (Mary, 2012)
There are various business analysis techniques. I recommend the use of the three techniques discussed in this proposal be used in the plan. One of the most common ones is the SWOT analysis. This stands for strengths, Weaknesses, Opportunities and Threat which is a very simple yet a strong technique. It is used to analyze both internally and externally. This gives the business a chance to analyze the internal and external factors in which the organization operates in and be able to identify in what manner these factors affect the performance of the business. The strengths are the specific characteristics that gives an advantage to others. It motivates the staff when they realize that there are strengths despite the challenges faced. The weaknesses are the characteristics that place the business at a disadvantage when compared to the competitors or even the project itself. This creates is a challenge as it may disclose the inability of the staff in undertaking the given project.
The threats is the environment where the elements are unfavorable to the business operations while opportunities are those that are advantageous to the business operations. The SWOT analysis is useful in understanding the ideal position of the business and gives an advisable recommendation based on the result of the analysis.
Another critical technique is the MOST analysis which also very simple but interestingly very powerful. It helps in analyzing and planning the organization’s operations. It stands for Mission, Objective, Strategy, and Tactics. The mission is the aim of operating a business which gives the expected outcomes. The Objective bit shows the collection of individual goals that forms steps to reach up to the mission. There are established methods of coming up with the best objectives. The Strategy on the other hand deals with the things that lead to the objectives when done while the Tactics indicates method of carrying out the strategies. It used for alignment and also to ensure that BA recommends the business objectives. It is tedious and more theoretical perfected than in practice.
Brainstorming is also another technique used in business analytics. This is mainly used to generate ideas while investigating the cause of problems and coming up with possible solutions. Other techniques including the ones discussed above use brainstorming as the underlying technique. It very useful in generating ideas in general and diverse manner. It is used in problem solving and generating of ideas and also in finding of specific facts. Its disadvantages include the fact the introverts and shy people may not contribute their views and also some discussions may end have with no conclusion but fusses if probably there is no good leader (Bola, 2017)
THE 5 STEPS
This plan consists of a few steps of implementing the business analytics to your business which I propose its incorporation.
Step 1: This will be the identification of the business problem. This will start with a strategy to optimize the operations of the business with business analytics. The future decisions in make organizations that rely on data use the quantitative results. The benchmark performance is strong indicator of how profitable or sustainable that an organization is. Even in small businesses the competitive advantage is an important measure of how the business is doing. The reporting on business analytics will help in monitoring and the analyzing if the operations the business is undertaking therefore it is advisable to identify the problem in order to begin the whole process.
Step 2: We will determine the metrics and analysis techniques appropriate for our study as discussed above.
Metrics should be aligned with process. It is most preferred to use statistical reporting in informing the strategy of the business. In establishing the ROI digital marketing is commonly used nowadays.
Step 3: we will collect data.
There are various ways of data collection including internal systems of an enterprise that is supported by database tracking methods. There are other tools such as ADP electronic invoicing also useful for analytic reporting. With the need to monitor digital marketing campaign some organizations may use business reporting analytics to measure productivity and performance which will be embraced in our case if the proposal goes through. Since most of our transactions will be online we will have access to a merchant service analytic reporting mechanism. This will be more practical and even possible since there are free metrics offered by Google Analytics.
Step 4: We will analyze the data.
This will be through a comparative testing which yield the results to business analytics. The implementation will require references to be compared in performance indexes and publications. There are various analysis tools that we will incorporate include SPSS and SAS that offer statistical computing capabilities and graphical illustrations that will assist in decision making.
Step 5: We will report on findings
Since there will be large summary of data available for comparisons, we will turn modest operations to highly effective large scales with large profit margin.
THE BACK UP PLAN
Step 1: we will plan the scope.
We shall define the goals of the business and its objectives as a whole. There are control mechanisms that we will embrace with specifying the milestones and the plan itself. All the assumptions about the whole plan will be included also.
Step 2: we will have a comprehensive plan on communication
This will define the personnel responsible for receiving any information whatsoever in the whole program. The purpose, the mode and the communication schedule will be well stated.
Step 3: we will plan on project quality assurance.
This will describe the review, approval and base methods of lining. The changes to each of the configuration item will be stated.
Step 4: We will determine the metrics and analysis techniques appropriate for our study as discussed above.
Metrics should be aligned with process. It is most preferred to use statistical reporting in informing the strategy of the business. In establishing the ROI digital marketing is commonly used nowadays.
Step 5: we will collect data.
There are various ways of data collection including internal systems of an enterprise that is supported by database tracking methods. There are other tools such as ADP electronic invoicing also useful for analytic reporting. With the need to monitor digital marketing campaign some organizations may use business reporting analytics to measure productivity and performance which will be embraced in our case if the proposal goes through. Since most of our transactions will be online we will have access to merchant service analytic reporting mechanisms. This will be more practical and even possible since there are free metrics offered by Google Analytics.
Step 6: We will analyze the data.
This will be through a comparative testing which yield the results to business analytics. The implementation will require references to be compared in performance indexes and publications. There are various analysis tools that we will incorporate include SPSS and SAS that offer statistical computing capabilities and graphical illustrations that will assist in decision making.
Step 7: We will report on findings
Since there will be large summary of data available for comparisons, we will turn modest operations to highly effective large scales with large profit margin.
CONCLUSION
The above proposal is tailored to meet your business specifications and recommend for the betterment of your business. You find it interesting.
REFERENCES
Bola Adesope 2017 May top 5 techniques in business analysis https://www.batimes.com
Dr. Charles D Madewell 2014 December 25 disadvantages of implementing business intelligence. https://www.linkedin.com
Mary Shacklett 2012 July 12 ways to optimize business analytics in your organization, https://www.techrepublic.com
Prof. Teresa Dillard 2015 April 28 business analytics implementation plan part 2 https://www.course.com