Business Intelligence is transforming the data that a business stores in it’s database, et facit ea,.
Typical data that is tranformed is transactional data such as sales data. For a business each individual sales data is not very useful but aggregating this data (Mauris summerising) can yield some powerful results for business decision makers. Ut pro exemplo,, Sales notitia est examinare singulis pro 1 quarterium 2013 sed hoc, si non est multum utilis notitia erat volutpat summerised, it would show the total sales for the period and becomes even more powerful it can be compared to the 2nd Quarter of 2013. It turn for decision makers it can become a powerful tool to increase sales, et develop novum negotiis facere praedicta consilia.
Business Intelligence uses large amounts of data and can be cumbersome without the IT tools that are used to transform the data. The transactional data that BI uses can come from different sources such as transactional database such as Oracle Databases or MS SQL Servers. The data then undergoes an ETL process known as Extract. Transform and Load.
Extract is the process of extracting the data from the source. Transform is changing the data into an appropiate format to store in the Data Warehouse. The Data Warehouse is the storage for the data used in BI, quae data est paratus, quaestor.
Post processus notitia repono ETL, is stored in the Data Warehouse. This is the data that is analysed and presented in Reports, ad dicendum parati ad arbitrium fabri.