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ALL RESULTS SOFTWARE SERVICES & RESELLERS HARDWARE RESEARCH LIBRARY
 
Browse Results  1 - 11 of 11
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Sybase IQ Accelerates Advanced Analytics by Sybase, Inc.

June 21, 2011 - (Free Research) This paper discusses a smarter approach to advanced analytics.
(WHITE PAPER) VIEW ABSTRACT | GO TO WHITE PAPER

SAP® BusinessObjects™ Edge BI by SAP America, Inc.

December 31, 2011 - (Free Research) Too often, business intelligence (BI) initiatives end up being detrimental to a business. They can be costly and highly complex, and often are integrated loosely— or not at all— causing data quality to plummet. Read this paper to discover a BI alternative that provides fast, cost-effective integration across SAP and non-SAP systems.
(WHITE PAPER) VIEW ABSTRACT | GO TO WHITE PAPER

Three Ways to Turbo Charge Your Reporting with Entry-Level BI by SAP America, Inc.

December 31, 2011 - (Free Research) Read this white paper to better understand how BI can give you a picture of not just where your business stands, but where it is headed, with data analysis capabilities that reporting software simply doesn't provide. Discover how to leverage entry-level BI to your advantage without disrupting your existing information systems.
(WHITE PAPER) VIEW ABSTRACT | GO TO WHITE PAPER

A Usability Comparison of the Top Three Data Modeling Tools by CA ERwin from CA Technologies

October 20, 2011 - (Free Research) Read this white paper to get a comparison of data modeling tools.
(WHITE PAPER) VIEW ABSTRACT | GO TO WHITE PAPER

Traditional vs. Agile BI by LogiXML

January 27, 2012 - (Free Research) This white paper explains the fundamentals of traditional business intelligence (BI) platforms and why traditional BI no longer works with today's market. It then details how BI platforms have changed to become more agile and lightweight. Read on to further your understanding of BI and what the main debate is with traditional versus agile BI.
(WHITE PAPER) VIEW ABSTRACT | GO TO WHITE PAPER

Transform insights into action IBM’s: Watson and the future of data by IBM

June 06, 2011 - (Free Research) Traditional computing systems are built to analyze only structured data, or to run analytics in batch reporting jobs. Explore how Watson is an example of the new kind of workloads that businesses will apply to achieve their business goals.
(WHITE PAPER) VIEW ABSTRACT | GO TO WHITE PAPER

Midmarket Business Intelligence trends, strategy update and expert advice by SAP America, Inc.

May 24, 2011 - (Free Research) This eBook provides expert advice to help your midmarket organization find success with BI and analytics.
(EBOOK) VIEW ABSTRACT | GO TO

IT matters again by ComputerWeekly.com

December 01, 2011 - (Free Research) This report from Deloitte argues businesses are again investing in IT to provide the differentiation and innovation critical from their competitors despite the downturn.
(IT BRIEFING) VIEW ABSTRACT | GO TO

The Next Chapter of In-Memory Computing: Enabling new possibilities for real-time analytics by HP and Intel

December 14, 2011 - (Free Research) Since its release in 2011, many businesses have adopted SAP HANA to enable new possibilities for real-time analytics. The next key milestone for this transformative technology is near: SAP HANA for SAP Business Warehouse (BW). Join this webcast to hear from HANA experts on the opportunities and challenges in the evolution of in-memory technology.
(WEBCAST) VIEW ABSTRACT | GO TO WEBCAST

How Dallas Cowboys Merchandising Scored Big with Rapid-fire BI by Tableau Software

November 09, 2009 - (Free Research) In this videocast, discover how the Dallas Cowboys adopted BI strategies that optimized their tracking of manufacturing, distribution and sales. Hear from Bill Priakos, Cowboys' COO, as he explains the steps that the team took in being able to get a real-time look into the distribution chain and see trends over time.
(VIDEO) VIEW ABSTRACT | GO TO

Populating a Data Quality Scorecard with Relevant Metrics by DataFlux Corporation

June 2008 - (Free Research) Too often, data governance teams rely on existing measurements as the metrics used to populate a data quality scorecard. But without a defined understanding of the relationship between specific measurement scores and the business's success criteria..
(WHITE PAPER) VIEW ABSTRACT | GO TO WHITE PAPER

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