Business ọgụgụ isi is transforming the data that a business stores in it’s database, na-eme ka ọ bara uru.
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 data) can yield some powerful results for business decision makers. Ọmụmaatụ, gụọ onye ahịa data maka 1st ụzọ n'ụzọ anọ nke 2013 agaghị abụ nnọọ uru ma ọ bụrụ na a ahịa data e 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, mepụta amụma na ịzụlite ọhụrụ ahịa azum.
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, nke a na-data njikere maka akuko.
Data ịchekwa ke ETL usoro, is stored in the Data Warehouse. This is the data that is analysed and presented in Reports, njikere maka mkpebi otite ka ịkọwa.