Business Intelligence is transforming the data that a business stores in it’s database, nokwenza kube ewusizo.
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 (summerising idatha) can yield some powerful results for business decision makers. Ngokwesibonelo, ngokuhlaziya ngabanye idatha yokuthengisa for the Quarter 1st of 2013 ngeke kube usizo kakhulu, kodwa uma le idatha yokuthengisa kwase 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, ukudala izibikezelo futhi ukuthuthukisa amasu amasha amabhizinisi.
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, okuyinto idatha akulungisela yokubika.
Idatha egcinwe emva inqubo ETL, is stored in the Data Warehouse. This is the data that is analysed and presented in Reports, balungele abathatha izinqumo ukuba ahumushe.