2014 has been hailed as the year when big data adoption goes mainstream. As adoption accelerates, I’m starting to see a change in the thinking about big data. More and more business and government leaders seem to be taking a step back and asking questions like these:
How can I understand the
As it was well explained by David Linthicum, building a business case begins with the definition of the problem domain. The drivers outlined in the previous section define most common high-level problem domains for MDM.
If your ROI and NPV estimates require a more detailed list of problem domains
Without a doubt, data integration is essential to the success of big data projects. However, some folks in the big data vendor community, including data warehouse, Hadoop and data integration vendors, are telling a very confusing story about the fitness of Hadoop as a data integration platform.
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.