The paper discuses the ability of an Agile BI rollout to respond to changing data analysis and reporting needs, and provide vital insights into an organizations’ operational environment in shorter timeframes, with less complexity.
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As the father of evolutionary theorem, Charles Darwin, said: “It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is the most adaptive to change.”
Agile Business Intelligence (BI) is about an organization’s ability to adapt its BI program to meet the changing needs of the business and its operating environment. Agile BI incorporates both a technical and process-oriented approach to managing the delivery of BI projects.
To achieve Agile BI, organizations must provide and establish the necessary tools and conditions in a manner that enables them to deliver a BI project capable of quickly and effectively responding to the changing and imprecisely articulated needs of the BI user. Agile BI does not merely refer to building and developing things rapidly, but building and developing the right things rapidly.
This requires three critical components:
• Technology: The actual BI application and its capabilities and capacity to underpin agile development
• Culture: Creating a supportive business environment for the introduction and ongoing support of a BI solution
• Process: The way in which a BI solution is developed to meet the specific needs of an organization
Demand for Agile BI is growing quickly. Businesses across a broad range of industries and sectors are demanding more flexibility, better Return on Investment (ROI) and greater responsiveness from their BI programs under shifting market conditions, intensified competition and continually shrinking
Agile BI refers to the technology, content development and implementation, and also the organizational benefits sought – the ability to respond swiftly to changing market conditions.
Implementing a successful Agile BI solution is as much an approach, and mentality to towards business reporting and analytics, as it is a methodology driven by the new technology itself.