In Part I of this series, we looked at the key considerations for an analytic enterprise to stay competitive in today’s world, and in Part II we discussed how those translated into imperatives for a supporting big data platform. In Part III we covered how IBM applied those considerations and
In Part I of this series, we looked at the key considerations for an analytic enterprise to stay competitive in today’s world, and in Part II we discussed how those translated into imperatives for a supporting big data platform. In this post we will cover how IBM has applied those considerations
Big data is going to change the way you do things in the future, how you gain insight, and make decisions (the change isn’t going to be a replacement, rather a synergy and extension). This book will help you get up to speed quickly on this technology and to show you the unique things IBM is doing
Vestas, a leader in modern energy, chose IBM InfoSphere BigInsights to pinpoint the optimal location for wind turbines to maximize power generation and reduce energy costs. Solution reduces response time for wind forecasting information by approximately 97 percent—from weeks to hours—to help cut
In this blog, we will cover how to select, staff and plan your first big data project. Our recommendations are based on many years of experience that we have had working with a wide variety of customers in several industries. We won’t focus on specific technologies. Instead, we will examine the
CMOs today are inundated with massive quantities of data from external data providers and internal systems. Yet the still strive to find elusive answers to these questions:
What new product can we introduce that will address new highly profitable emerging markets we’d like to enter?