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Predictive analytics have proven business value, especially when it comes to retail and e-commerce. Yet adoption is surprisingly low across the board; and some companies don't see the results that they need. Access this expert guide to learn why predictive analytics are a must-have for the intelligent business and how best to deploy them.
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The following white paper explores the importance of having an agile business intelligence solution for survival in today's market. Learn how to facilitate a more agile BI environment and gain access to the Agile BI checklist—a helpful tool to use on the road to BI success.
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This resource explains how the convergence of mobility and analytics within modern enterprises can improve decision-making, enable collaboration, drive faster results, and more.
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This white paper introduces an integrated business intelligence and performance management solution that gives users self-service access to the tools and data they need to make timely, accurate decisions.
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Access this whitepaper for an in-depth look into best practices for handling customer data to pull valuable insights for your business. Topics include: Achieving simplicity and performance, analyzing data at speed, and more.
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The following white paper explores an analytics desktop solution that enables the exploration, allocation, and presentation of insights simply, and without needing direct support from your IT department. Learn how you can get started quickly and without typical implementation hiccups.
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This resource features a business intelligence (BI) system that offers high-performance tracking, storing, examination, analysis, and reporting capabilities to help improve enterprise decision-making.
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Read the following white paper to see how Capacity Management Analytics can allow for capacity planners, system administrators, data center executives, and others to track, measure, and forecast capacity, pinpoint issues, and more.
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The following white paper outlines the top 6 worst practices that most businesses are guilty of doing. Learn how you can easily avoid these common mistakes and start moving towards a far more effective business intelligence initiative.
