BI Business Intelligence Methodology

BI focuses on a variety of disciplines to support the ultimate goal of “Transforming Data Into Action”. The following model presents the key knowledge areas required to arrive at actionable business intelligence. BI expertise in these various areas have been adapted to a variety of industries to improve the efficiency and effectiveness of the data collected and disseminated.

Business Intelligence Methodology

BI supports the latest techniques of Data and Search Fusion, which are the processes of combining data and information from different sources with the aim of maximizing the useful information content. It improves reliability or discriminate capability while offering the opportunity to minimize the data retained. There are three key considerations which characterize data fusion applications, dividing the domain into three overlapping regions:

Pre processing: data reduction

Data alignment and correlation: Interpolation and spatial or temporal correlation

Post processing: combination of mathematical data and knowledge, decision making

The following model supports the complex processes that BI uses to support assimilation of any kind of data from the environment (Patient Health Data, Financial Trend Data, Legal Discovery Content, Raw Intelligence). BI uses the latest in processes and technology tools that have been evaluated by Gartner Group, Inc. as the superior leaders in Business Intelligence tools and technology platforms. These include Cognos, Business Objects and SAS. The model balances a variety of knowledge bases to filter the incoming data down into manageable decision support information. BI expertise in these processes and tools allows the customer to provide more definitive intelligent data to its own decision makers and end point customers.