Business Intelligence with a BI Data Warehouse
What is the point of a business intelligence solution? To evaluate data automatically and present it clearly.
To do this, BI accesses data sources such as ERP or CRM systems, extracts the data, transforms it into a uniform format, and uploads it to the location to be processed - a business intelligence solution or a data warehouse. But when is which option the best one?
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The solution is simple: While BI is particularly suitable for less complex, clear data collections, the data warehouse system goes one step further. Using an interface, it accesses multiple external systems and combines all collected data in one place - the data lake. To accomplish this, the data warehouse is based on an SQL server. This database management system forms the foundation of the data warehouse and establishes the necessary connections.
The bottom line: If you are looking for a simple way to evaluate less complex data in a visually appealing way, classic business intelligence is the right choice. If you want to go in depth and analyze a large amount of data in detail, the data warehouse is the better option.
These advantages await you with a Data Warehouse based on a SQL database
Structure and data flow of the BI Data Warehouse technology
ERP, CRM systems, or other data sources: Data warehouse technology accesses data from (almost) all source systems. Define which ones yourself. If your systems change or new ones are added, you can, of course, adapt access at any time.
Once all the data have been defined, you are ready for the next step. All data is extracted directly from the individual sources using data staging. The subsequent processing then takes place in the ETL process.
Extract, Transform, Load: An ETL process means converting your data into a uniform format. With this, your data is optimized to be linked, analyzed, and evaluated.
Visually appealing evaluations are easier to interpret. That’s why you will see them directly in Microsoft Power BI. Naturally, with familiar Microsoft design and intuitive operation.
Your data has now arrived at the collection point. The data warehouse system is where you store and analyze your data - in other words, it is your "single point of truth" (SPoT) where all the relevant data is located. SPoT is synonymous with a data warehouse.
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Questions are there to be answered.
FAQs about BI Data Warehouse
The abbreviation SQL stands for "Structured Query Language" and is a database language. An SQL server is a database management system through which connections are made between different data.
An SQL database is the basis for a data warehouse system, because it provides the place for collecting the data to be analyzed. Such a data warehouse makes it particularly easy to evaluate even complex and large amounts of data clearly.
In principle, a data warehouse is not absolutely necessary to be able to use the features of Business Intelligence. If you process data with low complexity, then Power BI is suitable for your needs. If a lot of data from different systems and with high complexity is to be processed, a data warehouse serves as a collection point. This is where the standardization of the data formats and the actual analysis takes place.
A database is a method for storing data. A data warehouse system is a special type of database suitable for data analysis. Data from different databases are stored and processed here. While a database is simply a conventional method for storing data, the latter is a type of database intended explicitly for data analysis.