Organizations are developing the means to develop far better analytics about their customers, as high-performing and cost-effective big data processing enable a steep learning curve from customers on their wants and preferences.
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On Wednesday, The Open Group will host a tweet jam looking at a multitude of emerging/converging technology trends and the risks they present to organizations who have already adopted or are looking to adopt them.
An ebb and flow between IT centralization and decentralization that swings in the direction of business groups, and even shadow IT, now runs the risk of neglecting essential management security and scalability requirements.
By creating very deep census data of everything that's happened in the video space, Visible Measures uses unique statistical processes to figure out exactly what patterns emerge within video usage at high speed and massive scale and granularity.
Empirix uses an advanced analytics engine to continuously and proactively evaluate carrier network performance and customer experience metrics to automatically identify issues as they emerge.
As the volume and purpose of data and business intelligence have dramatically shifted, older notions and misconceptions — what amount to myths about data infrastructure — need to be updated and corrected, too.
Healthcare solutions provider Cerner has deployed the HP Vertica Analytics platform to help their customers better understand healthcare trends, as well as to help them better run their own systems.
Using HP Vertica, Guess can increasingly predict how to satisfy its shopping customers. At the same time, Guess' IT organization came to grips with adopting and implementing a big data platform to bring more of a democratization of data and better access to its employees.
Worth noting: The Open Group (you remember them) this week spurred on work to add additional (and needed) standardization to the interoperability of different but semantically equivalent data. The San Francisco-based vendor-neutral organization is working to create a registry that holds descriptions and identifiers of the venerable Universal Data Element Framework (UDEF).
So when a server takes 4 seconds to deliver a data-laden Web page, extracting data from a variety of sources, it ends up costing millions of dollars over a period of a few months in lost revenue to many more businesses. Making the page appear in 1 second is now mission critical.