Description:

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, structuring, and learning from their data.

In this webcast presentation, Joy Beatty, VP of R&D at Seilevel, offers advice on tackling requirements for business analytics projects. Drawing from the book she co-authored with Karl Wiegers, Software Requirements 3rd Ed., Joy will outline 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.

About Joy Beatty

Joy Beatty is a Vice President at Seilevel. Joy drives creation and implementation of new methodologies and best practices that improve requirements elicitation and modeling. She assists Fortune 500 companies as they build business analysis centers of excellence. Joy has provided training to thousands of business analysts. She is a Certified Business Analysis Professional (CBAP®). Joy is actively involved as a leader in the requirements community, serving on boards of multiple industry organizations. She is currently on the International Institute of Business Analysis® (IIBA®) core team for improving A Guide to the Business Analysis Body of Knowledge® (BABOK® Guide). She has presented at numerous requirements-related conferences and speaking events. Additionally, she writes about requirements methodologies in journals, white papers, and blog posts. Joy graduated from Purdue University with Bachelors of Science degrees in both Computer Science and Mathematics.