Predictive and Descriptive Analytics White Papers
See the most recent predictive and descriptive analytics whitepapers below.
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06/08/10
In today's economic downturn, organizations are looking for ways to improve the way they do business to keep ahead of the competition and improve revenue. Increasingly, organizations are finding that the benefits of BI can be complemented when combined with predictive analysis. Specifically, more insight can be gained, and even better decisions can be made, by coupling business-relevant information with an easy-to-use predictive analytics solution.
Sponsored By SAP
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
06/03/10
Pentaho BI suite Enterprise Edition offers end-to-end business intelligence functionality including reporting, dashboards, data integration, data analysis, and data mining, encapsulated into loosely coupled modules linked together by the Pentaho BI platform. The Enterprise Edition BI server provides administration, user authentication, security, application diagnostics, and performance monitoring in addition to the core capabilities of the open-source platform. Pentaho’s Analysis module is based on Mondrian, an open-source ROLAP tool that offers support for MDX, XML, and OLAP4. The module also includes a visual analyzer tool that enables end users to explore and query data without technical help. The data-integration module offers a variety of out-of-the-box transformations and a visual drag-and-drop design environment. Pentaho reporting is user-friendly and easy to set up. The solution also offers data-mining capabilities. In Ovum’s view, Pentaho BI offers more functionality than an average BI user requires. It is also easy to use and low cost, which makes it an attractive proposition for organizations getting started with BI.
Sponsored By Pentaho
05/20/10
This paper illustrates how various police departments have implemented successful crime center solutions via Information Builders' Law Enforcement Analytics (LEA), using BI, analytics, and GIS mapping to improve critical decision-making, increase efficiency, and make their cities safer.
Sponsored By Information Builders
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