Dynamic data masking for web applications
December 15, 2014
The rigidity of web application security controls have left companies vulnerable to data breach. How can companies ensure they aren’t leaving themselves open to attack while maintaining secure web application data to protect privacy and support compliance?
December 9, 2014
To fulfill the promise of analytics, we must put a lot more effort into delivering these projects right, the first time. We must think through each of the traditional success criteria and ask ourselves the burning question: how is delivering analytics different? This starts from gaining executive support, creating a business case, putting a team together, conducting proof of concept, quantifying benefits realization and socializing results for enabling analytics driven organizational change.
December 3, 2014
What are the opportunities of data refinement from the IT point of view? Does self-service data refinement devalue IT? Does it simply create more work for IT, cleaning up after business users who have run amuck?
November 24, 2014
Data refinement is one of the most important revelations in the big data market. The idea is simple: you want to take advantage of and use all sources of big data. But when each individual user needs only information relevant to them, what’s needed is a data refinery. It automatically cleans, matches, secures and profiles data—that’s what is meant by refinement.
November 20, 2014
Last month at Insight 2014, IBM made an exciting announcement: IBM DataWorks is available now. The reaction was overwhelmingly positive; clients who have or will soon have a data lake were very keen on the notion of data refinement. In fact, a data refinery is a natural fit with a data lake.
November 13, 2014
When people say that "data is the new oil," they're usually making a general statement on how deeply modern organizations depend on data to drive transactions, analytics and processes in general. It's in that context that many organizations decide to appoint something called a chief data officer (CDO) to oversee this precious resource. Personally, I'm not sure that the responsibilities of a CDO, as described in these sources and elsewhere, are all that different from the older concept of a chief information officer (CIO). Regardless of what we call this business-focused function (CDO, CIO or even chief analytics officer), it's important that there be a C-level executive who is responsible for overseeing governance of the organization's data resources, ensuring that they be applied effectively to achieve important business outcomes and transforming the organization into a more data-savvy culture.
November 10, 2014
Data is the new natural resource, and those who can harness it will be leaders. But, there are many myths about how to make data work for an organization. During the Information Management Keynote at Insight 2014, IBM busts these myths. In her post, Harriet Fryman, vice president of Information Management at IBM, shares highlights and her perspective on how to make data work for you and your company.
November 5, 2014
I say “yes!” and I’ll give you three reasons why
November 5, 2014
All the data in the world isn't helpful unless you put it to use. Employees spend countless hours just pulling data together and making sense of it. We set out to close the data divide between those that are able to put data to work, and those that aren’t. Our cloud-born data services provide data professionals and application developers the unique ability to turn data into readily available fuel for their organizations—all anyone else has to do is choose how to apply it.
October 28, 2014
This year at IBM Insight, we’ll hear from Captain Phillips, who underwent a harrowing ordeal involving pirates off the coast of Africa. Maybe you saw the movie starring Tom Hanks?