Big data and analytics technology can reap huge bene-fits to both individuals and organizations—bringing personalized service, detection of fraud and abuse, efficient use of resources and prevention of failure or accident. So why are there questions being raised about the ethics of analytics, and its related technology, big data?
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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® InfoSphere® has evolved information integration and governance to help organizations create and enforce real-time data security and privacy policies to keep customer, business, personally identifiable information and other types of sensitive data safe.
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 integration and governance program should include automated discovery, profiling and understanding of diverse datasets to provide context and enable employees to make informed decisions. IBM® InfoSphere® is designed to do all of these things by evolving information integration and governance to meet the challenges presented by big data.
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 of information integration and governance, including a comprehensive range of capabilities enabling companies to properly manage big data and implement best practices for enterprise-scale data lifecycle management.
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.
The end-to-end information integration capabilities of IBM® InfoSphere® Information Server are designed to help organizations understand, cleanse, monitor, transform and deliver data—as well as collaborate to bridge the gap between business and IT.
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 intelligence professionals and IT decision makers, finding that organizations are embracing IIG on the path to big data. This report examines successful IIG practices and offers insight for those on a big data journey.