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
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?
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
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.
#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
Customer experience is deceptively qualitative. Your customer engagement channels continuously produce big data that describes every aspect of that experience. To the extent that you don't measure, manage and govern that data as a key business resource—and analyze it with every quantitative tool in
With a series of recent data breaches as the backdrop, IBM engaged big data and privacy experts as guests in a Twitter chat on Wednesday, January 22, entitled “Big Data, Little Privacy?” The chat, intended to be a spirited discussion regarding data privacy in the era of big data, did not disappoint
The concern about consumer data privacy has never been higher. For example, 86% of Americans are concerned with data collection from Internet browsing and how it is used, and 70% of Europeans are concerned about the reuse of their personal data. With data breaches and issues such as the NSA’s
Twice recently, in two different large companies, people whom I have otherwise respected as being quite sensible have said to me that their organisations had appointed people who, within their own function, were ‘responsible for data quality’.
Well, when I went to Data Governance School back at the