Predictive Business Analytics & BIG Data Within the Supply Chain and Operations
Big Data is all around us, especially in today’s global supply chain arena, which includes uncertainty, complexity, volatile demand, product proliferation, globalization and ultimately risk. Currently, there are about 15 million gigabytes of new data collected every day. That’s more than eight times the information located in all U.S. libraries!
In this session, we will begin with the basic terms and definitions of Big Data from organizations such as IBM, GE, Accenture and Aberdeen Group. We’ll then go through some case- lets of organizations that are leveraging Big Data and Predictive Business Analytics to drive bottom-line results, such as the NBA, NFL, Schneider Electric, The US Postal Service, Harley Davidson and more.. Next, we will focus on industry profiles of WHO is leveraging Big Data, WHAT they do with it, and HOW they manage the processes. We’ll also explore a few more case studies of organizations that have mastered the people, processes, and program aspects of BIG DATA and Predictive Business Analytics. We’ll also profile the tools and techniques that are emerging to drive success. And finally, we’ll provide a few helpful hints for success and identify a few barriers to success as well.
The terms and definitions of Predictive Business Analytics and Big Data
Which industries and companies are utilizing Big Data and Predictive Business Analytics to improve the bottom line and mitigate risk
Emerging tools that can drive success in Predictive Analytics
Helpful hints for successful implementation, the 4-E’s and barriers to success