Big data has changed the IT landscape. Integration and governance must evolve and become more agile to handle the challenges of big data. IBM's latest innovations in integration and governance deliver context for big data, provide agile governance with automatic protection of big data and ingest
Successful organizations strike a balance between control and speed, moving quickly to explore and analyze big data, but also applying enough controls to avoid missteps with agile integration and governance. Are you confident in the analytic insights that drive your business?
On day two of HIMSS14, I had the pleasure of listening to leaders from UPMC, MD Anderson and Amedisys share their stories about how their organizations are turning information into an asset. At the third annual IBM Big Data & Analytics luncheon, attendees from across the healthcare ecosystem
When IBM announced innovations in information integration and governance for big data last fall, we IBMers believed we were on to something. Experience with clients worldwide suggested that automated integration, enabling self-service integration for big data repositories, would be a big deal. A
Are you confident in the analytic insights that drive your business? Do you trust big data? Can you protect it? IBM can help with new innovative information integration and governance (IIG) capabilities to build confidence in big data.
Business leaders are eager to harness the power of big data, but big data is a phenomenon, not a technology. Whenever the topic of big data arises, discussions often turn to analytics and Hadoop. Interestingly, big data and analytics have been shifting recently toward structured data and away from
I participated in a really rich Twitter chat yesterday on the topic of "Evolving integration and governance for big data" with thought leaders Jim Harris (@ocdqblog), James Kobielus (@jameskobielus), Tim Crawford (@tcrawford) and Richard Lee (@InfoMgmtExec).
Sensitivity and error
The first topic
HIMSS14 attendees are in for a treat this year; in addition to the amazing educational sessions and exhibits, visitors will have the opportunity to an exciting story about real-time analytics for research and data quality. Dr Ray Duncan, CTO for Cedars-Sinai Medical Center in Los Angeles, and Dr
Success with big data comes down to confidence. Without confidence in the underlying data, decision makers may not trust and act on analytic insight. Without confidence in your ability to deploy new big data technology and the skills to exploit it, you might defer on big data projects.
Is big data just a buzzword? I say no way! More than 80 percent of the world’s data was created in just the last two years: video, email and social media just to name a few. This data explosion is not lost on healthcare. Beyond the digitization of transactional and clinical data in medical records
#bigdatamgmt chat – Wednesday, February 19 – 12 p.m. EST & 5 p.m. GMT
As the world becomes more interconnected and more data are gathered, the opportunity for gaffes in handling and using that data increases dramatically. Rarely does a month go by without hearing of some misuse of data. These
From the business case methodology perspective, two high level approaches can be used to estimate an MDM impact: a traditional bottom-up approach or a less traditional Economic Value (EV) approach. But which is best?
In sports, a great deal of thought goes into creating winning teams. Choosing the right players, getting everyone on the same page, practicing handoffs and executing a clever playbook are how winning sports teams are created. In a recent #CXO tweet chat these same success factors were discussed as