Generally speaking the term “business intelligence” encompasses a host of business related software and tools. Businesses use these tools to organize and manipulate data from a variety of sources. Organizing the data can take the form of data mining, analytical processing, and or, querying and reporting. Agile business intelligence is a new wave of methodology in the field of business intelligence. Agile BI uses new technologies which make this recent evolution on traditional BI more flexible and more manageable. Data organized on spreadsheets has long been the system businesses use to organize, reconcile, and communicate information to clients and between teams or team members. Agile BI methods are much more helpful to the user than the spreadsheets with which most individuals are already familiar. Agile BI is focused on freeing businesses to identify areas of concern, consider solutions, and quickly respond to any questions raised during any part of this process.
An established system for BI will probably include benchmarks regarding how the processes of database storage and data warehousing are being executed. Applying the same set of standard expectations to an Agile business intelligence system is simply not as straightforward. That being said, it is important to understand how Agile BI can be implemented by a company.
The current business environment requires that businesses maintain immediate access to a tremendous amount of data for the purpose of swiftly making important decisions from the most informed position possible. Businesses large and small are demanding a significantly broader framework for the development of solutions based on all available data. The outright hunger for information and for varied applications drives the migration from traditional BI structures to one of the new Agile Business Intelligence systems. With increased data variety, businesses are asking more specialized questions at a rate never before seen in our new global economy. Read the rest of this entry »