Using Descriptive Analytics to Enhance Data-Driven Decision-Making

Includes a Live Web Event on 01/23/2025 at 10:30 AM (CST)

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This course will offer members practical knowledge and hands-on experience in using descriptive analytics to enhance data-driven decision-making. Participants will learn how data analytics can be applied to various business domains. The webinar will discuss types of data analytics, the basics of exploratory data analytics, data profiling with central tendency and variation techniques, associative descriptive analytics and correlation techniques. The class will include multiple case study analyses of companies effectively using descriptive analytics to advance strategic objectives.

Prashanth Southekal

Managing Principal

DBP-Institute

Dr. Prashanth H. Southekal is the managing principal of DBP-Institute, a data analytics consulting and education company.

Dr. Southekal has over 30 years of information management experience from over 75 companies such as SAP, Shell, Apple, P&G, and GE and has trained over 4,500 professionals worldwide in analytics, data products, and enterprise performance management (EPM). He is the author of three books - Data for Business Performance, Analytics Best Practices, and Data Quality. He writes regularly on data, analytics and machine learning for Forbes.com, FP&A Trends and CFO University. Analytics Best Practices is in the top 100 analytics books of all time and in May 2022 was ranked No. 1 by BookAuthority.

Dr. Southekal is an adjunct professor of data analytics at IE Business School (Spain) where he received the teaching excellence award for the 2020-2021 academic year. CDO Magazine has included Dr. Southekal in the 2022 LIST OF LEADING ACADEMIC DATA LEADERS.

Dr. Southekal holds a PhD from ESC Lille (France) and an MBA from Kellogg School of Management (U.S.).

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Webinar
01/23/2025 at 10:30 AM (CST)  |  90 minutes
01/23/2025 at 10:30 AM (CST)  |  90 minutes This course will offer members practical knowledge and hands-on experience in using descriptive analytics to enhance data-driven decision-making. Participants will learn how data analytics can be applied to various business domains. The webinar will discuss types of data analytics, the basics of exploratory data analytics, data profiling with central tendency and variation techniques, associative descriptive analytics and correlation techniques. The class will include multiple case study analyses of companies effectively using descriptive analytics to advance strategic objectives.
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