Analyzing past business activities is an important way to forecast the future and understand the present. A centralized data warehouse with normalized measures can pull data from various business applications and allow systematic analysis of a corporation’s entire set of data. With this a company can optimize its business operations, locate inefficiencies and continually improve their operational and fiscal performance.

E22 can leverage its expertise with a wide variety of database technologies and data formats to create a data warehouse. We have developed a deep methodology to assist our clients in five steps of data analysis and value extraction:

• Data Inventorying
• Warehouse Architecture
• Data Transformation
• Reporting and Exports
• KPI’s and Dashboards

Our data warehouses are dynamic repositories that will be updated on a varying degree of frequency depending on the data sources. Once the warehouse is complete we then focus on presenting the consolidated data via a set of effective tools, many of which are web-based. These can range from hierarchical drill-down detailed reports to high-level KPI dashboards.

We also create complete documentation during this process because we understand that as a business grows, a data warehouse must grow along with it.