The document outlines five areas of data needs: data acquisition, data syndication, data collaboration, data discovery and analysis, and data communication. It discusses each area in terms of the technology or human effort involved, such as software-enabled services, platforms, widgets and pre-built data models, to transform complex challenges into a single data solution.

1. Data Acquisition (ETL)
Technology or human effort to find and refine new data sources
(software enabled services + brute force services)
Data Syndication (BI)
Enterprise data mashups and large scale data distribution
(platform + widgets + connectors + pre-built data models + services)
Data Collaboration (EPM)
Enterprise wide modeling and planning enablement
(platform + purpose built Apps + services)
Data Discovery & Analysis (DDA)
Batch or real time data exploration for pattern recognition or new business insight
(software enabled services)
Data Communication (DCOM)
Rapid creation of highly branded insight
(Software + Service)
Hierarchy of Data Needs
transforming complex
challenges into a single
solution