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Bridging the Business and IT Divide: Ensuring Success for Your Self-Service BI Project

Posted in: Business Intelligence - Oct 03, 2013

You have attended the conferences, read the books and articles, gotten advice from vendors and implementation companies alike, and maybe even created your first BI prototype. You think you are ready to take on the big project. Compare your progress to the best practices checklist offered in this presentation.top

DIY BI and Analytics: Reaping Rewards and Avoiding Chaos with Self-Service BI

Posted in: Business Intelligence - Sep 25, 2013

As the velocity of business increases, business users are less willing to wait for the IT department to create custom reports and analytics. Many users now expect to be able to interact with information and create their own views of data to address pressing business issues. At the same time, BI teams would like to off-load report and analytics creation duties to users and focus on more value-added activities. top

DIY BI and Analytics: Reaping Rewards and Avoiding Chaos with Self-Service BI

Posted in: Business Intelligence - Sep 25, 2013

As the velocity of business increases, business users are less willing to wait for the IT department to create custom reports and analytics. Many users now expect to be able to interact with information and create their own views of data to address pressing business issues. At the same time, BI teams would like to off-load report and analytics creation duties to users and focus on more value-added activities. top

Practical Predictive Analytics for the Line-of-Business Analyst

Posted in: Business Intelligence - Sep 18, 2013

Can business analysts effectively use predictive analytics? Adoption of predictive analytics and other advanced analytics has increased for a number of reasons, including a better understanding of the value of the technology and the availability of computing power. Economic factors are also a driving force in utilizing predictive analytics for business as companies strive to remain competitive. Companies want to better understand customer behavior. They want to better predict failures in their infrastructure. The uses for predictive analytics are extensive and growing. top

Practical Predictive Analytics for the Line-of-Business Analyst

Posted in: Business Intelligence - Sep 18, 2013

Can business analysts effectively use predictive analytics? Adoption of predictive analytics and other advanced analytics has increased for a number of reasons, including a better understanding of the value of the technology and the availability of computing power. Economic factors are also a driving force in utilizing predictive analytics for business as companies strive to remain competitive. Companies want to better understand customer behavior. They want to better predict failures in their infrastructure. The uses for predictive analytics are extensive and growing. top

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