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by Angela Guess Larry Dubov of IBM Big Data Hub reports, “Historically MDM for the customer domain has lacked collaboration and business process management capabilities. These capabilities have typically existed as monolithic components supporting some specialized functions embedded in MDM data hubs, e.g. predefined data stewardship flows with limited capabilities to significantly customize the...
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by Angela Guess Patrick Oullette of HealthITSecurity recently spoke with Fernando Martinez about balancing risk management with patient data security. Oullette writes, “It’s almost an understatement to say, given his experience, that Fernando Martinez has broad perspective in healthcare security. And while Martinez doesn’t claim to have all the answers, he does believe there...
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by Angela Guess David Meyer of GigaOM reports, “IBM and Deutsche Telekom, the carrier behind the T-Mobile brand, are to work together on creating smart city systems, the companies have announced. The smart city concept, which is closely related to the ’internet of things’, is reliant on pervasive connectivity, drawing on what has traditionally been known...
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by Angela Guess Andre Bourque and Sam Kumarsamy of Technorati recently interviewed ParStream CEO Michael Hummel. The article states, “In the world of data there’s long been a limitation in what type of analytics can be generated in real-time. Stream analytics for things like calling on in-memory data are available, but it’s not been...
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by Rod MacPherson “In the beginning…..” there were opportunities. Opportunities to solve problems, opportunities to make processes more efficient through automation. For virtually every organization, process challenges were solved with automated solutions throughout the enterprise. Accounting processes were automated, supply chain was automated, program delivery was automated. All of it, one process at a...
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by Angela Guess Melanie Rodier of Wall Street & Technology reports, “The onslaught of new regulations and pressing calls for greater transparency from investors following the financial crisis has changed the way firms are addressing data management. As the U.S. struggles to emerge from its worst economic crisis in 80 years, capital markets organizations...
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by Angela Guess Nassim Taleb of Wired reports, “We’re more fooled by noise than ever before, and it’s because of a nasty phenomenon called ‘big data.’ With big data, researchers have brought cherry-picking to an industrial level. Modernity provides too many variables, but too little data per variable. So the spurious relationships grow much,...
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by Angela Guess Lori MacVittie of ZDnet opines, ” What’s missing from all the conversations about big data is a focus on the infrastructure necessary to support it — and in particular its use in real time. For many companies, big data means opening up access to the data warehouses they have always maintained. Data warehousing...
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by Christine Denney With all the hype around new technologies, like Hadoop, it feels like the excitement of Master Data Management is disappearing like candy on Halloween. Could it be that MDM is really yesterday’s news? Something that was a passing fad and is no longer relevant? Hardly. The need for the discipline of...
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by Angela Guess Jaikumar Vijayan of ComputerWorld reports, “Hadoop and MapReduce have long been mainstays of the big data movement, but some companies now need new and faster ways to extract business value from massive — and constantly growing — datasets. While many large organizations are still turning to the open source Hadoop big...
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