With 2.5 quintillion bytes of data created every day, organizations cannot wait to establish business-driven protection policies for keeping data safe. The rising volume of data and the growing number of analytics systems storing sensitive data exponentially increases the risk of breaches. IBM®
More data, more problems? Not if you have an agile, automated information integration and governance program in place. Automating information integration and governance and employing it at the point of data creation helps organizations boost confidence in their big data. A solid information
How data lifecycle management complements a big data strategy
Information integration and governance solutions must become a natural part of big data projects. As the foundation of the IBM big data platform, IBM® InfoSphere® Optim™ provides market-leading functionality across all the capabilities
While the term “big data” has only recently come into vogue, IBM has designed solutions capable of handling very large quantities of data for decades, leading the way with data integration, management, security and analytics solutions known for their reliability, flexibility and scalability.
Traditionally, the amount of available memory limited how businesses could – or couldn’t – run complex queries or analytics. Disk space was a constant challenge, and architects and DBAs performed a continual balancing act, trying to put the most valuable information in the most accessible, fastest
Big data is about much more than scaling, accelerating and broadening your analytic applications. Without trustworthy data to fuel it all, you can’t have much confidence in the hidden patterns that big data reveals, the decisions it drives, or the outcomes that you may or may not achieve from it
At a recent IBM event focused on building confidence in big data, a highlight was a wide-ranging discussion by a panel with very diverse backgrounds and industries. The panel comprised an industry analyst with an information governance specialty (Michele Goetz of Forrester Research), a chief data
Confidence in big data is highly variable. Some data sources have inherent uncertainty. So why shouldn’t you spend as much time as needed to make big data perfect? Time. You simply don’t have enough time to sort out every data irregularity, every ambiguity, every incomplete attribute. And for many
Confidence (aka Veracity) in Big Data is one of the central themes that has emerged recently in the Information Governance community. It is based on the growing awareness that when using Big Data there may not be the Confidence in its quality, lineage or accuracy that exists with more conventional
Openness is where the world is headed. It’s the core principle in truly agile governance of a dynamic, complex, smarter planet.
Openness means many things to many people. From a big-data perspective, we can break down the key dimensions of openness as follows:
Open platform and ecosystems: Open-
This research report from Forrester Consulting, commissioned by IBM, examines the growing role of information and integration governance (IIG) to move big data from the realm of possibility to the reality of business outcomes. Forrester Consulting surveyed 512 business sponsors, business