Text Mining and Analytics White Papers
See the most recent Text Mining and Analytics whitepapers below.
Find out how your company can promote its content in this library.
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 an SAP Company