This INFORMS conference puts the focus on Big Data:

• Getting from data discovery to return on investment and real business value
  
• Bridging the gap between decision-makers, IT managers and analytics professionals
• Expediting the journey from business problem to analytics solution
• Selecting and using the right big data technologies

Keynotes

Big Data in Action: Applying Analytics to the Internet of Everything

Michael Svilar
Managing Director, Advanced Analytics, Accenture

In this Internet of Everything world, systems, devices and physical objects are “talking” to one another. There are upwards of a trillion connected and instrumented things: cars, appliances, cameras, roadways, pipelines…even pharmaceuticals and livestock. The talk will focus on how organizations can drive positive business outcomes in the connected world using big data analytics.

For over 30 years, Michael Svilar has run analytics projects across multiple industries including Retail, Communications, Financial Services, Automotive, Consumer Packaged Goods, and Electronics.  His primary area of focus is applying analytics to marketing, merchandising and price promotions.  He holds a patent in forecasting analytics, and has published on a variety of analytics topics. Svilar has been with Accenture for 14 years, and was a founding member of its Marketing Sciences practice. Most recently, he led the Marketing Analytics group in Accenture Interactive

Putting Big Data to Work

Bill Franks
Chief Analytics Officer, Teradata Corporation

At Teradata and throughout his career, Bill Franks has focused on translating complex analytics into terms that business users can understand and then helping organizations implement the results effectively within their processes.  His work has spanned clients in a variety of industries, ranging in size from Fortune 100 companies to small non-profit organizations.  Franks is author of the book, Taming The Big Data Tidal Wave and an active speaker and blogger.

Power-packed conference with case studies and tutorials on topics like these:

• Big data 101: how to navigate the big data ecosystem
• Case studies and lessons-learned on real-world implementations
• Building and managing data science teams
• From scoping the problem to advanced analytics, visualization and supporting the decision process
• Identifying, storing, searching, cleaning the data you have
• Gaining insight from new data sources
• Selecting the right big data technology from all the options out there
• Critical issues like ethics and privacy requirements
• Emerging technologies and trends