ABSTRACT
A company can design and implement instruments ranging from decision patterns to performance intelligence (PI) systems that can enable continuous correction of business unit behavior in order for companies to achieve enhanced levels of productivity and profitability. At the beginning of a PI program, the architecture needs to be established. PI architecture includes business, technical, process, data, and project architecture. PI business architecture centers on defining the drivers, goals, and strategy of the organization that drive information needs. Process architecture includes a framework for tackling data acquisition to data presentation. The activities completed in design phase of the PI framework are modeling and mapping. Data profiling analysis and high-level architectural diagrams provide the context for design. In PI, development deliverables can include ETL (extraction, transformation, loading) processes, analysis, or reporting capabilities. Different approaches to ETL exist such as Enterprise Application Integration (EAI), Enterprise Information Integration (EII), and Extract, Load, and Transform (ELT) which are out of scope for this discussion.
