Exploding data volumes. Complex data challenges. Data from myriad sources. How do you extract insight, trends and meaning from all this data in Hadoop?
Because when it comes to capitalizing on big data, churning out a couple of analytical models a week isn't going to cut it. Big data requires a different approach: advanced analytics.
Join this on-demand webinar to discover how to use analytics to reveal insights in your big data and redefine how your organization solves complex problems. You will learn how to:
- Use sophisticated analytics in both a visual interface and a coding interface.
- Prepare, explore and model multiple scenarios using high data volumes.
- Perform modeling tasks interactively and on the fly.
- Quickly understand your model fit with model diagnostics – often in seconds instead of hours or days.
- Ask what-if questions about all the data.
- Improve the customer experience by profiling users and items.
Manager of Predictive Analytics Product Management
Thompson is described as one of the early pioneers of business predictive analytics and is globally renowned in the field of predictive analytics technology. During his 20-year tenure at SAS, he has brought to market many landmark SAS analytics technologies. Current initiatives include easy-to-use self-service data mining tools for business analysts, decision management and massively parallel high-performance analytics. He received his master's and PhD from the University of Tennessee.
Principal Product Marketing Manager for Statistics
Mariani drives product and marketing direction for all SAS statistics software initiatives. Prior to her current position, she was the Global Industry Marketing Manager for the education industry, creating and implementing global education initiatives. She began her SAS career as a Systems Engineer more than 15 years ago, consulting with sales prospects in the government and education industries. Mariani received her bachelor's in mathematics and a master's in mathematics with a concentration in statistics from the University of New Orleans.