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ADAPT – BI Framework

End users are decision makers. But often they aren’t given the tools to assess their business and draw conclusions. Data exists in silos that are inaccessible to those who understand them. Instead, BI reporting tools and data warehouses are controlled by IT. Rightly, IT is the guardian of corporate data, but it’s not the function of IT to extract business insight from it. Solutions need to be available for users to interact with data without burdening IT when doing so.

BI framework

Unilytics’ ADAPT is a framework for improving business reporting and optimizing analytics by identifying and accessing required data and presenting it to decision makers. It’s a systematic approach to business intelligence and follows these steps:

  1. Analyze – analyze business needs and identify KPIs to help in decision-making.
  2. Data Sources – determine data points necessary to drive KPIs and identify their location within corporate data sets: OLTP (Online Transaction Processing) System, Excel, CRM, digital data, corporate files, etc. Evaluate existing original sources of the data.
  3. Relationships – understand relationships of required data points and identify effort needed to bring them together.
  4. Architecture – determine suitable data architecture and data model.
  5. Repository – evaluate the need for creating a central repository such as OLAP (Online Analytical Processing) cubes,  data warehouse, or other central reporting repository. Compare best suited technologies and the merit of building a data warehouse or data mart, the value of using automation tools, data virtualization, and ETL tools.
  6. Visual Design – evaluate dashboard needs and tool selection. UD³ considerations for visual design.
  7. Construction – construct data visuals following UD³ to optimize creation and delivery.

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