With a lot of moving parts, CEVA was generating a lot of content. Pulling it all together provided flexibility and insight into the content CEVA already had. With IBM solutions, CEVA now has the data it needs to start driving key decision making for the future.
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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,
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.
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It’s that time of the year again: when fans begin lining up at the supermarkets to plan football weekend festivities. Let's take a look at how can predictive analytics be used in analyzing everything from performance to parking at the big event.
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
Benny Cohen, founder and president of Knowledge Providers, Inc., has spent the last 35 years implementing business solutions for small and large organizations across North America. He spent some time with us to talk about “self-service BI” for decentralizing the consumption of data and described
In this era of big media, more and more digital photos are, by default, being uploaded to the cloud soon after they’re captured. But who has the time and, considering the swelling magnitudes of video and photo contents in the world, where would we ever find enough humans to review, curate and
In part four of this series we introduced three key stages within the analytics lifecycle to outline how leading organizations are outpacing the competition. In this post, part five, we will explore the first of those stages (Acquire) which provides the ability to acquire and integrate data quickly