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Top Six Worst Practices in Business Intelligence
Posted in: Business Intelligence - Oct 08, 2015Want to know why business intelligence (BI) applications succeed and BI tools fail? This white paper presents the six worst practices in BI and analytics, and helps you avoid them. You'll learn from the experiences of BI experts and information specialists and avoid mistakes such as Worst Practice #1: "Buying What Analysts Want instead of Considering the Needs of Others." It's a great guide to help you think through how to use BI to enable a culture where everyone is empowered to make better decisions.top
Best Practices Report | Emerging Technologies For Business Intelligence, Analytics, and Data Warehousing
Posted in: Business Intelligence - Oct 01, 2015Download this report to learn about the emerging technologies and methods (ETMs) that apply to business intelligence, analytics, and data warehousing. Discover how ETMs can support innovation in business processes, customer management, competitiveness, IT best practices, and the business leverage of data. top
Cloud: Your Adaptive Integration Platform?
Posted in: Business Intelligence - Sep 30, 2015When a new technology or platform enters IT, we often see it applied first with operational applications and their servers. Then BI platforms and data warehouses adopt the new technology, followed by data management tools. We’ve seen this with various technologies, including Java and services. We’re now seeing the same sequence with clouds (whether public, private, or hybrid).top
Data Digest: Future of Excel in BI, Managing Unstructured Data, and Security’s Impact on Productivity
Posted in: Business Intelligence - Sep 25, 2015Does Excel have a future in business intelligence, plus how to best manage unstructured data and how to keep productivity high with context-sensitive security.top
Breaking through the Analytic Limitations of Access and Excel
Posted in: Business Intelligence - Sep 23, 2015Excel and Access might be hindering your organization’s analytic effectiveness. Originally designed for data storage and basic analysis, once formed the cornerstone of a company’s analytic toolkit. However, today they are outpaced by the need for complex and agile analytics on vast amounts of data. top
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