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Online Demo: Deliver self-service reporting that satisfies casual users and professional report authors |
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See how you can deliver better reporting to more people, and spend less time doing it.
These days, it seems that everyone wants reports. But the last thing you want – or need – is to have to build all of those reports. The right reporting solution for IT and your users is IBM Cognos 8 BI Reporting.
Watch this brief demo, and you’ll see a solution that’s so simple to use, it’s intuitive for anyone who is familiar with Windows and knows how to use a Web browser. Yet it’s powerful enough for professional report authors to build, maintain, secure and deploy all the reports they need.
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White Paper: Data Driven Marketing |
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This report examines how organizations are using data to impact marketing performance and marketing effectiveness. It highlights best practices from 272 organizations to identify how best-in-class organizations use data to achieve superior performance.
Open the PDF White Paper now
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Those Nasty “Hairball” Analytics Projects: Usually There’s A Data Warehouse At The Core |
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James Kobielus
Information Management Blogs, July 12, 2010
Sometimes I feel like Ol’ Doc Jim.
As Forrester’s lead analyst on data warehousing (DW), my core job often involves diagnosing enterprise analytics practitioners’ DW aches and pains. I try to cultivate a reassuring bedside manner and give them something for both immediate and long-term relief from their problems.
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Dysfunctional Business Intelligence Teams |
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Patrick Lencioni’s popular best-selling book, The Five Dysfunctions of a Team, contrasts the characteristics of dysfunctional and productive teams. It is an easy-to-understand model that reflects the experiences we’ve had with business intelligence (BI) teams over the last eighteen years.
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Data Quality is a Business Issue: Getting Back to Basics, Part 1 |
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There is a growing trend by businesses to sponsor IT-led data quality and governance initiatives as companies extend their end-to-end business processes and expand their business intelligence and analytic initiatives. Accompanying this trend has been a sharp increase in information technology (IT) methodology and technology-centric applications, solutions and initiatives to address data quality and management concepts.
Many of these efforts have met with mixed results.
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