Forward Thinking for Tomorrow's Projects: Requirements for Business Analytics

Normal people don't look at data sets just for fun; they analyze them to make business decisions. Business analysts are more frequently finding themselves on strategic projects that turn large and often highly complex data sets into meaningful information from which conclusive decisions and actions can be derived. Analysis of big data is already a reality today in most IT organizations and will grow in significance as businesses look to gain a better understanding for capturing, structuringand learning from their data.

In this presentation, we will offer advice on tackling requirements for business analytics projects. Seilevel outlines how to elicit strategic analytics decisions to help prioritize requirements work, and how to prepare for the future of big data by specifying data needs. Participants will hear examples of questions they can use to engage businesses to think outside the box about their requirements, and consider new possibilities from analytics projects. 

LEARNING OBJECTIVES:

1.       Understand what you need to know about business analytics and big data as a business analyst or product manager.

2.       Learn an approach to software requirements for business analytics projects.

3.       Review visual models you can use for business analytics requirements.

4.       Learn how to use decisions to prioritize your analytics requirements.

Presenter: Joy Beatty is a vice president at Seilevel, a professional services and training company whose mission is to redefine the way software requirements are developed. She has provided training to thousands of business analysts and is CBAP® certified. She is helping PMI with the upcoming Business Analysis Practice Guide. She co-authored Visual Models for Software Requirements with Seilevel CEO Anthony Chen and Software Requirements-Third Edition, with Karl Wiegers.