There are many ways in which business analysis practitioners plan. At the highest level, there are three most commonly used approaches to planning: predictive, iterative, and adaptive.
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The purpose of analysis at the Delivery Horizon is to inform decisions regarding the delivery of the solution.
This IIBA® Guide to Business Data Analytics emphasizes some of the significant business analysis and analytics concepts to build a foundational understanding that will guide practitioners
Kano Analysis is used to understand which product characteristics or qualities will prove to be a significant differentiator in the marketplace and help to drive customer satisfaction.
ABC insurance Co., one of the largest issuers of life insurance in Japan, formed a new data science team comprised of data scientists, actuaries, insurance underwriters, and business data
Assessing the analytics and system approach taken involves collaborating as an analytics team to determine whether the results from data exploration or data analysis are helping to answer the
The following is a selection of some commonly used analysis and analytics techniques applicable to the Identify the Research Questions domain. The list of techniques does not represent a
Business data analytics is used to enable organizations to make informed decisions. Understanding the current state of the organization or context of the proposed change is fundamental to
Document and Communicate Findings from Completed Analysis includes identifying how to best package and communicate the data analysis results, making decisions about the level of summarization
Validating data involves assessing that the planned data sources can and should be used and, when accessed, the data obtained are providing the types of results expected. Since a detailed analysis