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Gleansight Deep Dive: How Companies Achieve Success by Migrating From Traditional BI to Agile Business Analytics

by Birst

Jul 26, 2012

Download The word agile is widely used today within the business intelligence industry to describe a key aspect of business intelligence (BI) and business analytics (BA) delivery and use. Infusing agility - commonly defined as the ability to be quick and nimble - into the way an organization interacts with its analytics platform is essential when it comes to maximizing the value it derives from both internal and external data sources. Yet this notion of being agile means different things to business decision makers, IT developers, and solution providers, resulting in some confusion as to what the use of the word agile truly encompasses and how broadly, and in what context, it can be applied across the organization. This confusion can lead to a more general misunderstanding surrounding the market place and how analytics are, in fact, shifting toward greater degrees of agility.

This Deep Dive analyst report looks at the process of building an environment for what can be aptly termed Agile Business Analytics. The process includes identifying what organizations need to have in place before adopting or expanding their business analytics access.


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