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Business Intelligence: The Strategic Imperative for CIOs by Information Builders
June 2008 - (Free Research) Business intelligence (BI) allows organizations to integrate applications and databases essential to users and enables analysis of information to optimize decision-making.
5 Styles of Business Intelligence by MicroStrategy Incorporated
June 2008 - (Free Research) This paper looks at the historical development of BI applications and BI technology, and concludes that five common Styles of BI have evolved during the past decade - each style representing a certain characteristic usage.
IBM Cognos 8 Business Intelligence MidMarket Reporting Packages by Cognos, an IBM Company
October 2008 - (Free Research) IBM Cognos 8 BI is the only solution that provides complete BI functionality in one product, on a single, proven architecture, it also delivers seamless reporting, analysis, scorecarding, dashboards, and event management.
Business Intelligence: The Strategic Imperative for CIOs by Information Builders Inc.
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September 2007 - (Free Research) The CIO's role becomes more strategic as organizations use information to create a competitive advantage. This paper – using evidence from benchmarks created with IBM to test WebFOCUS' performance on System z running z/OS and Linux – helps CIOs to balance demands for information accessibility and processing power.
An Architecture for Data Quality: A Kimball Group White Paper by Informatica
May 2008 - (Free Research) This paper describes an easily implemented, nondisruptive, scalable, and comprehensive foundation for capturing data quality events as well as measuring and ultimately controlling data quality in the data warehouse.
Mozilla Transforms BI with Pentaho and Vertica by Vertica Systems
November 2008 - (Free Research) Please join this webinar to learn about the business intelligence platform Mozilla Corporation uses to support the management of some of the world's largest collaborative, open-source development projects such as the Firefox web browser.
Is a Data Warehouse the Only Option for Business Intelligence? by Information Builders Inc.
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October 2007 - (Free Research) While data warehouses are important for many types of analytical systems, they aren’t always necessary. Building a data warehouse can dramatically increase the cost of a BI project. This paper describes data warehouses, along with many other options for placing relevant, timely information in the hands of business users.
Comcast & NetworkIP Re-think Data Warehouse Architecture by Vertica Systems
December 2008 - (Free Research) For analytic applications, the Vertica Analytic Database is designed to deliver high performance at lower cost and More than 5 customers have now implemented Vertica, and the experience of three is described in this report.
Critical Success Factors Deploying Pervasive BI by Informatica
September 2008 - (Free Research) The goal of pervasive BI applications is to take the data that produced the back office ROI of more than 400% and deliver it to front-line employees in a form appropriate to their job functions-with similar results.
Datanomic Business Intelligence and Data Warehousing by Datanomic
By using dn:Director to improve data quality and isolate data that is unreliable, organizations are able to optimize the return on investment in BI and Data Warehousing and maximize competitive advantage.
IBM Cognos Pricing Makes More Projects Possible by Cognos, an IBM Company
October 2008 - (Free Research) IBM Cognos has a flexible and tiered pricing grid that enables companies to cost effectively deliver BI and PM benefits to more users, and more types of users.
Autodesk Solutions for Utilities by Autodesk
July 2008 - (Free Research) In this on-demand webcast (first presented at the Autodesk Virtual Tour Event in June 2008) Alan Saunders and Pete Southwood will show you how AutoCAD® Map 3D is a better AutoCAD for utilities with tools that help you clean up and classify data ...
How real-time can ETL get? by Syncsort
October 2008 - (Free Research) View this Podcast to learn more about how to use ETL today to optimize demanding data environments as well as when and how ETL can effectively support near-real-time requirements.
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