Data warehouse is one of the most important elements of business intelligence consolidation. It allows to organize different data analysis and data reporting formats.
In general, the data and analysis results acquired from different sources are gathered up in all of the daily operations that an enterprise has to perform in order to provide its services. The data warehouse provides a appropriate platform for handling all of these different integrated data streams acquired from different sources.
The data warehouse can be used to keep everything on the same page, no matter how many different nodes of the historical data has, that is analyzed to evaluate company’s performance.
Although different businesses have different propositions and niches, there is often a primary operating system where their most important data is constantly uploaded; such as the daily sales and marketing activities of the enterprise.
Once the data has been standardized in terms of quality and uploaded to the data warehouse, it can be made available to employees. All of the basic functions of a data warehouse are programmed according to automatic operations, from the initial stage to the access layers.
The most common data warehouse form is called the ETL-based model. ETL means Extract, Transform and Load. In the first phase, all raw data is acquired from different data sources and sent to the filtering and cleaning step.
You get a flexible data platform that supports your current business and technical goals and can keep pace with future changes.