Speaker Profile
DR. PRASHANTH H SOUTHEKAL
Dr. Prashanth H Southekal is the Founder of DBP Institute a Data and Analytics Consulting, Research, and Education firm based in Calgary, Canada. He is a consultant. author, keynote speaker, and professor of Data and Analytics. Dr. Southekal has advised over 80 organizations including P&G, GE, Shell, and Apple. He is the author of three books — “Data for Business Performance”, "Analytics Best Practices”, and “Data Quality” and writes regularly on data, analytics, and machine learning in Forbes, SAP Insider, DataVersity and CFO University. Apart from his consulting and advisory pursuits, he has trained over 4,000 professionals worldwide in Data and Analytics. He has also developed an on-demand data analytics course for DataVersity “BUSINESS ANALYTICS IN ACTION LEARNING PLAN” and “DATA ENGINEERING FOR MACHINE LEARNING AND DATA SCIENCE” which is taken by hundreds of data and business professionals. Dr. Southekal is also an Adjunct Professor of Data and Analytics at IE Business School (Madrid, Spain) and CDO Magazine included him in the top 75 global academic data leaders of 2022. In addition, CIOLook listed Dr. Southekal as the “Ten Most influential leaders in Tech to Follow in 2023”. Dr. Southekal holds a Ph.D. from ESC Lille (FR), an MBA from Kellogg School of Management (US), and has an ICD.D designation from the Rotman School of Management (CA). He lives between Calgary (CA) and Madrid (ES) with his wife, two children, and a high-energy Goldendoodle dog. Outside work, he loves juggling and cricket. More about him here: https://www.linkedin.com/in/prashanthsouthekal/
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Dr. Prashanth H Southekal
August 01 2024
12 : 00 PM EST
60 Minutes
Three Key Misconceptions of Data Quality
Today many corporate boards and executives understand the importance of data for improved business performance. However, most of the data in enterprises is of poor quality. According to a report in Harvard Business Review, just 3% of the data in a business enterprise meets quality standards. However, there are many myths associated with realizing data quality and this is creating misconceptions on data qual..