Once a data warehouse is populated with data, the next step is to conduct analysis on it. Traditionally, this stage has required significant engineering resources to make a data warehouse ready for analysis. Traditional tools for end user analysis and reporting require additional metadata. Now, SAAS Business Intelligence solutions can offer an automated approach to the analysis stage and move it online with an Integrated OLAP (On-Line Analytical Processing) Engine.
| Traditional Method: |
Customers develop another set of metadata to navigate universes, subject areas, and cubes or to build custom cubes for analysis. |
| Integrated SaaS method: |
Metric and dimensional metadata can be automatically generated and maintained. Stage 3 and 4 share a common set of metadata. |
