Blogs

Data masking factories for the big data era

January 28, 2015 | by Praveenkumar Hosangadi
There is a growing trend among larger companies to develop mature and repeatable processes. One such growing trend is the use of data masking factories where repetitive processes are executed as a centralized service for large numbers of applications.

Is privacy dead?

December 31, 2014 | by Richard Lee, Managing Partner, IMECS, LLC
It has been a year of startling privacy revelations, including extreme outrage in response to data breaches and government snooping, which all point to the same question: “is privacy is already dead?”

Patting down the pachyderm: Big data prognostications for 2015

December 23, 2014 | by James Kobielus, Big Data Evangelist, IBM
As 2014 draws to a close, the proverbial elephant that we call big data is smarter, more sensitive and more agile than ever. It’s got a much more varied array of advanced analytics riding on its broad back. More than that, it’s performing these amazing feats as a team player within a growing troop...

Does your big data have real monetary value?

December 19, 2014 | by Matthew Mikell, Market Manager, IBM
Increasing big data investments in compliance, licensing and risk requires organizations to rethink the value of their data.

Closing the web app data security gap

Dynamic data masking for web applications

December 15, 2014 | by Eva Maria Andreoulas, Demand Programs Professional, IBM
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?

Why advanced analytics projects are different from traditional IT

December 9, 2014 | by Pavel Abdur-Rahman, Senior Managing Consultant, IBM
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...

From IT drudgery to IT freedom

December 3, 2014 | by Paula Wiles Sigmon, Program Director for InfoSphere Portfolio Marketing
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?

Taking a more refined approach to big data

November 24, 2014 | by David Corrigan, Director, Product Marketing, InfoSphere, IBM
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,...

Announcing IBM DataWorks: A cloud-based data refinery

November 20, 2014 | by David Corrigan, Director, Product Marketing, InfoSphere, IBM
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. 

Chief data officer: My mixed and nuanced musings on the need for one

November 13, 2014 | by James Kobielus, Big Data Evangelist, IBM
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 (...

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