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.


StrategyIIA faculty member and Archipelago Information Strategies consultant Mike Lampa says modern analytics programs must have business at the core and embrace “chaos”
FeatureBig data blog posts, tweets and conference keynotes often feature only two legs of the stool: the platform and the analytics. But it shouldn’t stop there
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There’s no spring break for BI at these universities. Here are seven U.S. higher education institutions making the most out of enterprise data management techniques and trends.
NewsPongr, a provider of image recognition technology, hopes to alter the way brands leverage the ever-expanding amount of photos shared around the world via social networks
newsLiveCycle ES4 enables organizations to extend forms processes on mobile devices and, through integration with Adobe Experience Manager, to connect forms and document processes to websites
CommentaryIn health care, big data program costs could be offset by a drastic reduction of risk pertaining to clinical errors, combined with care linked to deep and proactive data analysis
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Before you can look for the proverbial needle in the haystack, you need to know why you’re looking at the haystack at all. When it comes to stacks and streams of unstructured data, there is a developing pool of best practices and industry-specific approaches.
BlogFiltering the hype through analytic maturity, business truths
StrategyAberdeen report outlines emerging and reliable methods for enterprise adoption of advanced analytics
BlogAre we beholden to the unstructured nature of NoSQL as we were to the structure of the relational database?
blog2013 research agenda seeks to pull back the curtains on the “big deal” analytics strategy
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Book ExcerptKurt Thearling discusses the keys to analytic success

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.

Where do young IT professionals (30 and under) obtain information to aid with daily role responsibilities and career development?

Trade publication websites 14%
Social media 23%
Vendor websites 4%
Vendor/community forums 7%
Newsletters 1%
Trade conferences/meetups 2%
RSS feeds 6%
Web search 44%

 

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