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Business Analytics Implementation Plan Paper

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ARGOSY UNIVERSITY

Business Analytics Implementation Plan

Professor: Michelle Barnes

Submitted by: Eyong E.

Date: 10/29/2014

The latest technological development in data analytics and implementation helps organizations gain insights and how to deal with informed decisions.

Table of Contents
The Business 2
How analytics helps 3
Disadvantages 4
Types of Business Analytics 5
Figure 2 5
The Implementation Process 6
Planning 6
Figure 3 7
Implementation 8
Figure 4 8
Processes Involved 9
Backup Proposal 11
Reference 12

The Business
The concept of Business analytics is a component of business intelligence, it has evolved in recent years and now in the for front center of business. With the growth of technology and the continuing improvement …show more content…

Used by management in long term to assist in tackling rising problems.
At the tactical analytic level, organizations are most concerned with one time only situations that once tackled are not repeated by identifying the cause and finding a solution.
Strategic Analytics; this goes a long way to deal with dramatic decisions which affect the strategic position of an organization. For strategic analytics to be implemented and become a key part of an organizations decision making process, more complex disciplines and systems are required. Some sub categories here include; predictive, comparative, predictive, ad-hoc analytics and so on.
Each type of analytics as seen on the diagram above, could share a common sub group which could in turn have additional classifications. understanding and reviewing the different types of analytics systems and choosing those that best suite an organization is very helpful in determining the analytic plan for the future of the business. Succeeding in this, will definitely give a boost to the overall value of a business platform.
The Implementation …show more content…

Despite the complex nature of a system or building a system, there are a several other ways to obtain the same information needed for decision making. If this is so cumbersome for management, I will recommend that management looks for means to outsource analytics. Outsourcing is a lot more affordable. You have agencies that have readily deployable solutions. This will be resourceful at the early stage but it will always be necessary to take ownership in the long term.
Combining quantitative and qualitative data to evaluate the balance of data ensures the understanding of information. If the company can focus its attention on the quantitative and qualitative studies will help identify issues and obtain information on some variables that could match organizational goals. With this method, the company will combine independent data and interpret it for conclusion. Reference
Foster Provost and Tom Fawcett. Big Data, Data Science and its Relationship to Big Data and Data-Driven Decision making,” http://online.liebertpub.com/doi/full/10.1089/big.2013.1508
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data http://www-01.ibm.com/software/data/infosphere/hadoop/hbase/
Manager, research & analytics center, Large publically traded insurance company http://www.mu-sigma.com/analytics/platforms/overview.html

Marzano, R. J. 2003. What Works in Schools. Alexandria,Va.:Association

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