These days, Big Data and Analytics helps meet the insatiable hunger for player, team and league stats and analysis, on and off the football field. IBM is powering new consumer experiences with advanced real -time analytics. This ensures that the customers are offered newer ways to enjoy the game,
Innovative organizations are now using the power of Big Data & Analytics to predict more than just information on where and when a problem will occur, but also predict how it will occur and how to resolve it. This is helping chief operating officers, chief information officers, and their teams
The journey that a customer takes with your company is an individual one. Each customer requires a customized map with a guide who understands exactly where he wants to go—ensuring a smooth experience along the way. Can your company provide every customer with his own personal guide? And can your
IBM software and expertise analyzes more than 41 million data points to determine the top three "Keys to the Match" for Grand Slam tennis tournaments. That same predictive analytics technology is used every day by leading organizations to solve their most pressing business challenges.
See how "The Big Datastillery," a revolutionary new “appliance,” condenses terabyte-scale torrents of customer, transactional, campaign, clickstream and social media data down to meaningful and actionable insights that boost response rates, conversions and customer value.
Executives have long regarded intuition and experience as the keys to formulating strategy and assessing risk. That thinking may have worked in an earlier time of information scarcity—but not in the time of Big Data. The ability to harness big data gives leaders their new competitive advantage in
Animation: Big data is creating opportunities for Communications Service Providers (CSPs) to establish new revenue streams. With big data technology, CSPs can analyze the location data generated by millions of mobile devices and use the resulting insights, along with offerings from business
Animation: This use case looks at how savvy retailers can use big data - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc. - to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions, and monitor real-time