Beyond Forecasting: Time Series Data Mining for New Business ApplicationsWith more data being gathered at ever shorter time intervals, forecasting thousands of time series recorded at ever shortening time intervals has become a reality for many businesses. As time series data sets converge in size to those regularly faced by data miners, can forecasters learn from best practices and use algorithms and tools under development in data mining, computational intelligence and machine learning? From this talk you will learn how to use time series clustering and classification to identify most-similar and outlier motifs in hourly call center data, how to forecast new products by automatically finding similar past product launches, and how to use new and simple algorithms from machine learning in forecasting high-frequency time series of electricity load data. With similar algorithms recently introduced in SAS time series explorer and SAS Enterprise Miner, all business cases lend themselves to being directly implemented for improved forecasting performance.
How High-Performance Analytics is Inspiring Business Transformation and InnovationAs experts using analytics, you are at the forefront of exploring and understanding your data regardless of size or complexity. The work you do to extract buried insights from tremendous volumes of data is more important than ever for your organizations to evolve swiftly and confidently within your markets. But the challenge is how to locate the detailed insights quickly in near real time and get it to the decision makers wherever they are. Jim Goodnight, CEO of SAS, the leader in analytics will show you how high-performance analytics is evolving into new areas to expand the applications of analytics to go beyond what was once impossible.
The Next Million: A New Generation of Companies Powered by AnalyticsThe Analytical Revolution is upon us. There is no better evidence of this fact than the continued explosion of new companies across the globe. On the surface, these seemingly unrelated companies were created to tackle challenges faced by individuals, businesses and governments. Who should I date? What music do I like? Which ad works the best? Who should I hire? Which system could be hacked next? What these companies all have in common, of course, is analytics. Whether you call it Data Science, Applied Mathematics, or Data Mining - the fact is these are the threads that link an emerging ecosystem of innovative companies. Take a Big Idea, access to Data, apply Advanced Analytics - and you have the next million companies.
In this provocative and enlightening discussion, Dr. Hakes will highlight his interviews with C-level leaders from innovative companies around the world - which are all built on a foundation of analytics - and uncover the connections they all share, recounting the necessary conditions that enabled the Analytical Revolution to begin. He will unveil surprising yet common analytical threads that have led to their emergence as well as their success, and prescribe a recipe for the emergence of the next million companies yet to be developed that will accomplish things that we could only dream of - all Powered by Analytics.
View a video interview with Will Hakes.