Data Processing
In Business Intelligence are automated harvesting phases, integration, cleansing and data validation, as well as the aggregation of the analytical procedures and calculations.
It would be unthinkable to manually process the huge amount of data, for some companies, describe the daily activities: for example, for a banking company there may be millions of movements of current account every day;
or for a large chain of supermarkets, could be hundreds of thousands receipts beaten in a single day.
Business Intelligence Applications
The Business Intelligence application areas are varied, both as regards economic sectors, both as regards the corporate environment.
Some examples are:
- CRM Customer analysis for Zone, Branch, Agent Analysis owned products and cross selling comparative analysis of different time periods
- Management control margins Analysis Area, Branch, Agent Income Statement Zone, Branch, Agent comparative analysis of different time periods
- Sales Analysis of sales for Zone, Branch, Agent, Customer comparative analysis of different time periods margins
- Human resources Analysis Hours worked Cost Analysis costs and timetables for hours Zone, Branch, Organizational Unit, Employee comparative analysis of different time periods
Each of the examples is of course to be declined in the various economic sectors: Commercial, Banking and Insurance, Large Distribution, Industrial, Pharmaceutical, Food etc.
Benefits of BI
These are the BENEFITS that business intelligence allows for:
- High ROI
- Timely decisions
- Lower costs / risks
- Higher revenues / opportunities
- Advantage over competitors