Data Use Scenarios

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The diagram shows a range of Data Use Scenarios; those in green illustrate specific requirements for a particular application while Text Analytics, in grey, was introduced as an option for consideration. Often an organization will acquire a Business Intelligence or BI technology focused on Descriptive Analytics without considering the wide range of usage scenarios an organization needs. The range of Data Use Scenarios also affects the Technical Architecture required to support them.

While the diagram identifies capabilities, it is also supported by descriptions of data rules, access rights, security and compliance requirements, timeliness demands, and other pertinent factors for each business unit, data usage, and user, if necessary.

Examples of typical data use scenarios include:

  • Near real-time data for operational reporting
  • Time-sliced data for tactical and strategic reporting (e.g., “What did I know last quarter?”)
  • Common data for supporting daily business processing and dashboards
  • Data provisioning to real-time applications
  • 360⁰ Views (Customer, Employee, Distributor, Inventory, Vendor/Supplier) with Account and Reference Data
  • Business Analytics data for user queries, data mining, and predictive analytics
  • Aggregations to support Enterprise and “local” Hierarchies and Classifications
  • Analytics application and product development “sandbox”
  • Unstructured and Big Data
  • End-User Self-Service reporting and analytics
  • Data Visualization and Data Discovery
  • Data Marts for specialized needs

The range of Data Use Scenarios affects the Data Architecture and Technical Architecture required to support them and provides the flexibility to adapt to future business data and analytic needs, including new data use scenarios.