Safety Insurance Company had the common problem of too many databases. There was no single version of the truth, and this led to inconsistent answers across the enterprise. With IBM solutions, the organization now has one repository for all its data and the power to use big data to fight fraud.
In part six of this series, we finished our exploration of the first of three key stages within the analytics lifecycle (Acquire) and suggested recommendations and practical actions for that stage. In part seven we will look at the study’s second key stage within the analytics lifecycle, Analyze,
IBM is empowering organizations of all sizes (and industries) through data and analytics. With the advent of the cloud, clients can now innovate faster, work smarter and solve pressing business problems—sometimes with just the press of a button.
“Let’s say there was a magical crystal ball to predict the future,” says John Choi, director of product management and strategy for the IBM Big Data portfolio. “If you could look into that crystal ball, you’d know a lot more about your customers.” That kind of end-to-end predictive analytics
While I’m sure you’ll be off doing something terribly exciting and romantic to celebrate the day of love, a data nerd like me can’t think of anything more captivating than writing about my big love for big data and analytics. As my valentine to you, here are the top five reasons that I love big
Many companies today have already begun leveraging their big data to gain a competitive edge. As the world's new natural resource, big data can drive business decisions and catapult organizations to the top of their industry. IBM is helping businesses make sense of all that data.
IBM i2 Enterprise Insight Analysis integrates IBM's best in class big data and advanced analytics capabilities to enable cross-sector organizations to turn overwhelming data into actionable intelligence, in near real time.
Competitive features include: Multi-dimensional visual analytics, a 24/7
Not everyone can be a data analyst, but IBM DataWorks makes the numbers less scary for business users. With a more refined approach to big data, everyone can use this information to make crucial decisions to add value to any business.
Download: The top 5 ways to get started with big data
With today’s sophisticated, connected customer, the traditional 360-degree view is not sufficient, so businesses are focusing on improving customer experience.
The key to enriching customer experience is an enhanced 360-degree view of the customer, which understands everything about your most
In part five of this series we explored Acquire, the first of three key stages within the analytics lifecycle, which provides the ability to acquire and integrate data quickly—foundational to creating an analytics speed advantage. In part six we will look at recommendations and practical actions