Integration & Governance
December 19, 2014
Increasing big data investments in compliance, licensing and risk requires organizations to rethink the value of their data.
December 11, 2014
Curation addresses a purpose that stewardship never has in the data analytic governance context. Whereas stewardship refers to data’s trustworthiness, curation addresses the quality criterion of relevance. Consequently, curators might be regarded as being responsible for a “single version of what’s worthy of your consideration.” The repositories in which curated information is kept are not usually official systems of record, but, rather, systems of insight, in the broader sense of the latter.
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.
Exclusive session highlights from Insight 2014
November 13, 2014
There was no shortage of information about Informix and the Internet of Things at IBM Insight 2014. Multiple sessions from such speakers as Fred Ho, chief technologist for Informix Warehouse at IBM, and Lalitha Krishnamoorthy, program director for Informix engineering at IBM, covered everything from implementation, to data management, to what the future holds. With additional support from hands-on floor demos and visualizations, the Internet of Things was brought to life.
November 11, 2014
This week’s Big Data &Analytics Hero, Leonardo Nantes, IT executive of Brazilian credit bureau Boa Vista Servicios, has faced numerous challenges since the merger of two companies took place a few years ago. Boa Vista now serves hundreds of thousands of clients nationwide and handles more than three million transactions per day. Since the business involves credit ratings and personal information, big data security and integrity are paramount.
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
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.