Business oye is transforming the data that a business stores in it’s database, ati ṣiṣe awọn ti o wulo.
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 awọn data) can yield some powerful results for business decision makers. Fun apere, gbeyewo kọọkan tita data fun awọn 1st mẹẹdogun ti 2013 yoo ko ni le wulo gidigidi sugbon ti o ba ti yi tita data ti a 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, ṣẹda asotele ati ki o se agbekale ogbon titun owo.
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, eyi ti o ti pese sile fun iroyin data.
Data ti o ti fipamọ lẹhin ti awọn ilana ETL, is stored in the Data Warehouse. This is the data that is analysed and presented in Reports, ṣetan fun ipinnu onisegun lati ọgbufọ.