 In this issue, we examine the emerging technologies and methods being used to directly engage with the meaning and context of data that is critical to running the business - its semantics. During the next three to five years, we forecast a transformation of the enterprise data management function driven by a greater focus on data semantics.
These technologies can help expand the information reach of enterprises, but do so in a way that actually improves relevance and reduces information clutter. But the biggest conceptual breakthrough comes from the revolutionary idea that IT needs a more collaborative approach to the task of data management to respond to the explosion of new demands for better information needed to upgrade enterprise decision-making.
Spinning a data web. This article takes a detailed look at the semantic techniques that enable a Web where documents as well as individual data elements are linked. The result is an ability to filter data sets more effectively and pull more relevant information out of the aggregate.
Making semantic web connections. This article makes clear that better information context, rather than pure accuracy, empowers better decision making. To provide that context, more "mapmakers" are needed in business units to link information domains. Linked Data technologies will take advantage of the network effect and gain the interest and involvement of people who have never been directly involved before.
A CIO's strategy for rethinking 'messy BI'. This article asserts that business intelligence ("BI") and related systems aren't bad, but were designed for only a small part of the information needs businesses have today. To address the remaining needs, CIOs must lead the effort inside business units to build and map information domains.
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Read more by downloading our Technology forecast (Spring 2009) flyer (pdf file, 87KB) for your reference. If you are interested to get a copy of the full report, please contact one of our partners.
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