Text Mining and Analytics White Papers
See the most recent Text Mining and Analytics whitepapers below.
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06/17/10
Web data, and social media data in particular, contains a wealth of intelligence. With the right approach, enterprises can easily automate the data collection of social media data, eliminate the noise, extract the intelligence, and use it as a strategic component to business intelligence initiatives. Harvesting real-time, noise-free Web data has never been easier.
Sponsored By Kapow Technologies
06/03/10
Inspired by the Google File System and MapReduce, Hadoop has emerged as a proven open-source software framework for big data analytical requirements. This paper explains where Hadoop has the potential to add value to your data management strategy, its shortcomings for doing so, and how to overcome these limitations.
Sponsored By Datameer
03/22/10
The business intelligence (BI) market has recently undergone a significant level of consolidation. The three largest independent BI software vendors have been acquired by larger technology vendors. In April 2007, Oracle completed its acquisition of Hyperion Solutions. In October 2007, SAP announced plans to acquire Business Objects, followed in November by IBM's announced intent to acquire Cognos.
Sponsored By Pentaho
03/02/10
Visionary organizations are adopting an emerging practice known as “in-database analytics,” which supports more pervasive embedding of predictive models in business processes and mission-critical applications. With in-database analytics, enterprises migrate their predictive analysis (PA), data mining (DM), and other compute-intensive analytic functions from separate, standalone applications to execute in the enterprise data warehouse (EDW). Doing so allows IT professionals to leverage the EDW’s full parallel-processing, scalability, and optimization features. In-database analytics can help enterprises cut costs, speed development, and tighten governance on advanced analytics initiatives. Business process and applications (BP&A) professionals should implement in-database analytics in conjunction with ongoing efforts to consolidate and scale their EDW.
Sponsored By Aster Data Systems
08/01/09
This white paper, by James Taylor and Neil Raden, discusses the need for companies to become decision centric by adopting enterprise decision management techniques and technology. It also outlines the benefits of adopting EDM, as well as the risks and issues with adopting EDM and applying technology to automating and improving operational decision making.
Sponsored By Teradata
01/23/09
While traditional business intelligence (BI) has transformed business using structured information from operational applications and transaction systems, there is a huge source of information that has been ignored: people’s thoughts and opinions, found in communications from e-mails and Web pages to customer relationship management (CRM) note fields and blogs. How can you use this unstructured text to get a complete view of your business?
Sponsored By Business Objects