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Business Intelligence Lifecycle Management

Dec 20, 2016 10:18:55 AM   Steve Dine

Topics: Program Management, Blog, BI Automation

An Introduction to Business Intelligence Lifecycle Management

By Steve Dine, Managing Partner - Datasource Consulting

It’s no secret that Business Intelligence* (BI) projects are both time consuming and resource intensive, often suffer from poor communication between the business and IT, and are usually inflexible to changes once development has started. This is due, in large part, to the method by which BI projects are traditionally implemented. Regardless of the methodology you employ, at the very least, a successful BI iteration requires:

  • Business requirements identification
  • Data analysis
  • Data architecture and modeling
  • Data integration (ETL, ELT, data virtualization, etc)
  • Front-end development
  • Testing and release management.

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Automating Cognos BI Usage Monitoring

Dec 20, 2016 10:17:45 AM   Matt Caton

Topics: Business Intelligence, Cognos, Blog, BI Automation

Why Monitoring the Cognos BI Usage Makes Sense.

By:  Matt Caton

At the heart of a strong BI practice is the automation of repetitive tasks, freeing up time to focus on deeper analytics and more advantageous architectures. Cognos BI equips architects with a number of tools for automating report delivery which is often overlooked and done manually. Below are a number of advantages to proactively monitor usage of your Cognos BI reporting system:

  • Staying ahead of audits and ensuring software license compliance
  • Saving pricey license seats for users who are actually taking advantage of (using) the system
  • Having a list of active users to help plan system updates and down-times
  • Providing colleagues and managers with important system usage feedback
  • System monitoring without even having to log into the system
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