Analytics and BI are the CIO’s Top Priority

Whether as a driver for growth, a means to attract and retain customers, or a way to drive innovation and reduce costs, the business value of analytics and business intelligence has never been higher.

Gartner’s Amplifying the Enterprise: The 2012 CIO Agenda as well as IBM’s Global CIO Study 2011 confirm this point, with analytics and BI setting atop CIO’s technology priorities in both reports.

Chalk Talk: Increasing BI Agility

Rick van der Lans, R20/Consultancy describes ways to increase BI agility with data virtualization. Rick demonstrates ways to build agile IT systems to support faster business decision making in business.


Data Integration Is the Biggest Bottleneck

Providing analytics and BI solutions with the data required has always been difficult, with data integration long considered the biggest bottleneck in any analytics or BI project. Complex data landscapes, diverse data types, new sources such as big data and the cloud are but a few of the well-known barriers.

For the past two decades, the solution has been to consolidate the data into a data warehouse, and provide users with tools to analyze and report on this consolidated data. However, data integration based on these traditional replication and consolidation approaches have numerous moving parts that must be synchronized. Doing this right extends lead times.

The Data Warehousing Institute confirms this lack of agility. Their recent study stated the average time needed to add a new data source to an existing BI application was 8.4 weeks in 2009, 7.4 weeks in 2010, and 7.8 weeks in 2011. And 33% of the organizations needed more than 3 months to add a new data source.

Data Virtualization Brings Agility to Analytics and BI

According to Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility, data virtualization significantly accelerates data integration agility. Key to this success is data virtualization’s

  • more streamlined data integration approach
  • more iterative development process
  • more adaptable change management process

Using data virtualization as a complement to existing data integration approaches, the ten organizations profiled in the book cut analytics and BI project times in half or more.

This agility allowed the same teams to double their number of analytics and BI projects, significantly accelerating business benefits.

Data Virtualization Agile Analytics and BI Options

Data virtualization’s simplified information access and faster time-to-solution helps enterprises improve analytics and BI agility via: