Webinar: Analytics in a Big Data World - Register Now
We are delighted to welcome back Bart Baesens, professor at KU Leuven (Belgium) and lecturer at the University of Southampton (UK), to host the next success series webinar "Analytics in a Big Data World" on Wednesday 4th March 2015.
IBM projects that every day we generate 2.5 quintillion bytes of data. In relative terms, this means 90% of the data in the world has been created in the last two years. Gartner projects that in 2015, 85% of Fortune 500 organisations will be unable to fully exploit big data, therefore it is forecasted that 4.4 million jobs will be created worldwide to tackle the matter.
Learning how to extract business value from big data becomes a competitive requirement. Big data are assets that can be leveraged quickly and inexpensively, if tackled wisely!
- In this webinar, Bart will discuss the challenges when dealing with multiple channels of data and sculpting them into quantifiable value.
- Starting from the basic analytical process model, Bart will zoom into data quality, analytical model development, model monitoring and backtesting.
- He will also discuss analytical corporate governance and zoom into new applications areas such as social network analytics for fraud detection, business process analytics and HR analytics.
The webinar will take place on Wednesday 4th March at 5PM CST.
Bart Baesens is a professor at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on analytics, customer relationship management, web analytics, fraud detection, and credit risk management. His findings have been published in well-known international journals and presented at international top conferences.
He is also author of the books Credit Risk Management: Basic Concepts, published by Oxford University Press in 2008; and Analytics in a Big Data World published by Wiley in 2014.
His research is summarized at www.dataminingapps.com. He also regularly tutors, advises and provides consulting support to international firms with respect to their analytics and credit risk management strategy.
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