 | | Doug Henschen | | | | | Being tipped off to the future is always helpful, but what's the best course of action once you get a prediction? That's where prescriptive analytics comes into play.
As Jeff Bertolucci reports this week, prescriptive analytics is an emerging technology that goes beyond descriptive and predictive analytics to recommend specific courses of action and show the likely outcome of each decision.
To its proponents, prescriptive analytics is the next evolution in business analytics, an automated system that combines big data, business rules, mathematical models, and machine learning to deliver sage advice in a timely fashion. Despite its potential, prescriptive analytics is barely a blip on the business analytics radar screen, Bertolucci reports, with Gartner saying it's used by only 3 percent of organizations today.
Read More. | |  | |  | | INSIDE THIS WEEK'S ISSUE OF DARK READING People are your most vulnerable endpoint. Make sure your security strategy addresses that fact.
Also in the new, all-digital issue of Dark Reading: Effective security doesn't mean stopping all attackers. Log In Or Register To Download | |
| | JOIN THE CONVERSATION Posted By Andrew Hornbach: "It makes sense to add flash as a storage tier as opposed to replacing all of the spinning media in one fell swoop. For bulk storage, archives, and disk to disk (and disk to disk to tape) backup, rotating media makes a lot of sense. When you have an application that can actually utilize the performance increase available with flash, it's more than worth the investment.
"However, I think Goyal may be dreaming a bit in thinking that using flash to run a database from may end up reducing the number of operating cores in an environment. If there's something I've learned over my career, quantities don't tend to roll back, especially when they're directly linked to processing power." /font>
In reply to: IBM: Flash Storage Hits Tipping Point
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 | | COMMENTARY REPORTS & WHITEPAPERS FEATURED REPORTS
Research: Big Data, Smart Data
Don't get us wrong. The ability to collect and analyze data is a core IT value proposition. Companies like Wal-Mart, FedEx, and Southwest Airlines gained strategic advantage by digging into their core business data long before it was labeled "big." And there's no question there's more data available than ever, especially information from the Web and the new wave of smart mobile devices.
Our beef, though, is that most businesses aren't good at using the data they have now. What are the odds we'll get better with more being piled on? More data doesn't fix bad analysis.
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| | |  | | | FEATURED WHITEPAPERS Making Big Data Fast And Easy: Creating Context Across Multiple Data Sources Although big data promises huge insight, the truth is, many companies are struggling to realize the benefits due to the difficulty in integrating data from multiple silos. This research paper examines how to create contextual big data and how to simplify the analytics process for business users without needing to go to IT every time a new study begins. Pros and cons of multiple methods for big data analytics are analyzed, and recommendations for getting started are provided.
Download Now (Registration Required) | Choosing A Data Integration And Governance Approach In A Big Data World In this session you will hear Gartner Analyst Eric Thoo describe four different approaches to data integration. Thoo will map the different approaches to five key use cases to help you identify the capabilities you need and to provide insights into evolving data integration challenges and the capabilities that are emerging to address them.
David Corrigan from IBM will describe the IBM InfoSphere data integration solutions and relate them to the different critical data integration use cases.
Attend this webcast to develop a framework for approaching data integration in the new era of Big Data. It happens April 23, 2013.
For more information and to register.
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| Big Data. Big Decisions. From Enterprise Software And SAS
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