Unstructured Data/Content Management

Any document, file, image, report, form, etc. without a highly defined data model or relational structure for convenient use in automated processing; unstructured data may contain many facts: fields, dates, names etc., but not organized in the rows and columns associated with structured data.

FeatureAchieving the vision of the PMI will require significant advances in data integration, and NIH is focusing efforts to make advances in this arena.
FeatureWhile teams may be focused on accelerating the role of analytics from data to decision, they should also focus on a quality analysis program that looks at the underlying source code.
Data security remains a top concern for data professionals. To help organizations put up a best defense, Reiner Kappenberger, senior executive focused on big data and Hadoop at HPE Security-Data Security offers five steps on how to best secure data in the Hadoop environment.
Want to get the best pay in the data analytics field? Here’s a rundown on 10 top jobs in the field and what you can expect to earn for your efforts.
There seems to be no end in sight when it comes to high demand for data professionals. But just how well an individual can cash in on that trend depends on their job experience, location, and acquired skills. This week we look at how all those factors impact the paycheck. Today we review the pay premiums being paid in 2016 for the top noncertified data skills.
FeatureThe term ‘cognitive technology’ refers to the ability of a machine (precisely computers), to facilitate interactions with humans, by utilising unstructured or structured data.
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FeatureAttendees to the recent Strata & Hadoop World conference had a lot to say about issues related to streaming data and real-time data. But cloud-based analytics also dominated many discussions.
FeatureIt is critical that data scientists and businesses alike understand the benefits that a real-time approach to the data infrastructure can bring to the business, says data Artisans CEO Kostas Tzoumas.
FeatureThe driver is to move away from just simply reporting and analyzing to integrating analytics into operational flows so that they can respond quickly to incoming data and actually impact business as its happening.
FeatureToo many organizations suffer from data stagnation, in which data lies untapped and does no good at helping to drive business decisions. The result is a growing need to discover relationships within that data.
FeatureMost believe they now have the proper data management frameworks in place at their organizations, and it’s time to cash in on the potential benefits.
FeatureWhile data security remains a top concern for nearly every organization, a growing number of firm are taking data analytics to the cloud.

Customer service optimization (CSO) is a technology-enabled discipline that puts customer service professionals in position to deliver outstanding service. The goal is to correctly resolve each incident without subjecting customers to time-consuming and annoying delays such as waiting “on hold,” having to explain their problem more than once or feeling that they are participating in on-the-job training of customer service agents. At the heart of CSO is the ability to access the best, most relevant and up-to-date information available in the organization. Therefore a robust and powerful search capability is an essential component. Being able to quickly find relevant data on a topic, regardless of where it resides and what form it is in, is often the key to achieving the goal of resolving incidents in a single call or interaction. Learn more in this informative white paper.

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