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big data management

Tag: big data management

Data Governance Drives Effective Analytics

We recently came across Aberdeen’s report “Nimble IT and the Data Layer: The Lynchpin of Analytical Success,” which summarizes survey results of data management professionals and analytics users.  The report explores the relationship between IT environments and decision-making by business users. Interestingly, Aberdeen found that something called a “nimble IT” environment empowers line-of-business users to make better decisions and improve company performance. We all intuitively understand what Aberdeen means by “nimble” – an IT organization that is strategic, yet agile,

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Big Data for Healthcare: Deployment Challenges

A growing number of healthcare leaders recognize the huge potential of big data technology to fuel new innovation. If you’re among them, you’re already ahead of the game. But what’s the next step? Where do you go from here? As you embark on your big data for healthcare journey, here are some of the most important considerations to keep in mind. DIY vs. Integrated Solutions The first question to answer is whether to buy a pre-integrated big data system or

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Connecting the Dots: Driving New Business Value with Data Science

You think you know what’s in your data—but do you? This June, PHEMI’s Lead Data Scientist, Sarbjit Sarkaria, spoke at a sold-out room at the New York City Cloud Expo. Dr. Sarkaria’s presentation Connecting the Dots: Driving New Business Value with Data Science illustrates the new possibilities that emerge when data science techniques are combined with the cutting-edge abilities of big data technologies. Dr. Sarkaria draws from the worlds of finance, precision medicine, and genomics to explain how industry leaders

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Ten Considerations to Realize Enterprise-Grade Big Data Systems

By now, enterprises are familiar with the enormous promise of big data, and most have plans (or at least a wish) to implement it. Even so, very few organizations have rolled it out. Why? To the cautious enterprise, big data systems still seems like the Wild West—there are all these open-source components, not fully integrated, that seem like they’ll require an army of Hadoop programmers. The workflow with existing tools and analytics tools seems hard to visualize. Moreover, at the same

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