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.


NewsNew search engine allows users to search their Facebook social graph for people, places, photos and interests
newsNew and updated solutions and services from IBM, Oracle, Terracotta and more
TrendsAnalytics guru Thomas Davenport assesses the potential and pitfalls of unstructured data, social streams and other advanced analytic capabilities
NewsDatameer Version 3.0 seeks automation and recommendation capabilities with data in Hadoop for more casual advanced analytic users
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TrendsFinding a business problem, project measurement lead big data’s challenges in financial services: PwC analyst Julient Courbe at SIFMATech 2013
BlogAhead of Hadoop Summit, perspective on operational and advanced analytics
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NewBig data potential behind $31.4 million stock deal for Swedish visualization and discovery vendor
NewsHashtags allow users to add context to a post or indicate that it is part of a larger discussion
FeatureWith so many questions to answer, IT infrastructure teams will need to work with a wide range of other IT professionals in order to build big data platforms. This multidiscipline approach must also include a careful focus on the economics of the projects
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Underneath the hype, interest and confusion over “big data,” there are businesses diving into quickly developing advanced analytic tech and strategies. Competitive advantage from big data is the carrot at the end of the stick, but the best ways to find it remains an emerging practice.
BlogComplexity of data science confirmed in machine learning engagement, IQSS research
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Information Management's DM RadioWhat goes around, sure does come around, even in the field of information management. Way before big data or data science, the earlier renditions of insight-oriented software focused on knowledge management and document management. Today, as organizations look to complete their picture of enterprise risks and opportunities, the old practices of KM and DM are back in action. Register for this episode of DM Radio to hear hosts Eric Kavanagh and Justin Kern interview Gene Leganza of Forrester Research, as well as David Cornwell of PleaseTech and Kimberly Samuelson of Laserfiche.

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.

Are you actively evaluating master data management technologies and their ability to scale and support emerging trends around big data, social and mobile?

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