Technology continues to change our lives in many ways. Consider the world of sports. Gone are the days when couch-bound sports fans or fans in attendance at arenas and stadiums took in games with their eyes only. Key advances in mobile and social computing provide great opportunities to engage fans
Audiences can be exquisitely fickle. What they respond to at any given moment is, if not entirely unpredictable, highly resistant to tidy formulas. Predictive audience analysis can be vital for personalization and targeting and engaging customers. Discover how data-scientific tools for performing
UK organizations continue to exploit information to acquire more customers and offer them an improved experience; however, they risk being outpaced by acceleration in delivering insight ready for action in other parts of the world.
The case is clear: the faster you can turn raw data into intelligent insight, the quicker you can get ahead of your competitors.
This theme comes through loud and clear in the latest analytics study from IBM’s Institute for Business Value. Nonetheless, only 10 percent of organizations fit into the
IBM is coming together with TED to host a first-of-its-kind event exploring ideas, insights and personal stories with a broad cross-section of IBM clients, partners, friends and IBMers. At this event, I will be speaking on IBM's big data approach to engagement analytics, and how it can only be
Big Data Education
Big Data & Analytics Heroes
Ben AlamarProfessor of Sports Management, Menio College, Senior Analytics Consultant and Data Engineer, Cleveland Cavaliers, Author
This week's Big Data & Analytics Hero, Benjamin Alamar, adeptly juggles many balls. He's a sports analytics consultant, researcher, speaker and author of "Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers." He's also a professor of sports management at Menlo College in
We all know we need to use insight to engage with customers, the question most of us are still grappling with is how? How do we create a strategy for handling big data and is there anything we can learn from the sports teams like England Rugby about how they use analytics to engage their fans?