The advantages of BI Data Warehouse based on a Microsoft SQL database

Collect, unify, and evaluate complex data in just one step welcome to your Data Warehouse.

  • Improved data quality thanks to the central storage location
  • Simplified report structure as key figures are calculated centrally
  • Precise data loading for faster BI evaluations
  • Unification of data sets to provide the ‘big picture’
  • Establishment of a single point of truth with all data

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?

Do you have a complex data situation? Get Data Warehouse!

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

Save twice the time

A data warehouse is set up in a short time. Once in use, you can access all the data you need in just a few minutes. This means you can work more efficiently and make more informed decisions. How much did you invest? You can calculate this faster. Do you have to create an evaluation at short notice? No problem. Time is no longer an issue.

Complete data in maximum quality

Say goodbye to duplicate data storage and missing information: Your data warehouse system accesses multiple sources and uses all the stored data to create evaluations based on comprehensive information. Data is also retained for a longer period of time, so you can easily view and track past transactions.

Evaluate even complex data sets easily

Quite simply and despite maximum complexity: With your data warehouse, you can display even large amounts of data and complicated relationships clearly. Rather than struggling for ages with complex data, you quickly get transparent visualizations that make your work easier.

Central data format for (un)structured data

Extract, Transform, Load: The ETL process unifies data into a standard format. Moreover, because they are stored centrally in your data warehouse, you only work with one central location. The result is homogeneous data of the highest quality for accurate evaluations. With a better foundation, you can make informed decisions.

Secure data

A Power BI data warehouse is a collection point: This is where all your data from the various sources is stored - the risk of a data breach is significantly lower than with many different storage locations. Because the data warehouse technology also offers innovative security features, you are always on the safe side.

 

Structure and data flow of the BI Data Warehouse technology

Data sources

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.

Data Staging

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.

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.

YAVEON Cockpits

Power BI

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.

Data Warehouse

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.

Download our Data Warehouse Whitepaper now

In our Whitepaper, you will learn

  • whether a Data Warehouse is the solution you need,
  • answers to FAQs,
  • how to work with a Data Warehouse,
  • what the YAVEON Cockpits are,
  • how your Data Warehouse project proceeds,
  • how to display evaluations immediately or remotely,
  • everything about the greatest advantages,
  • and much more.
Preview Whitepaper Data Warehouse

Questions are there to be answered.

FAQs about BI Data Warehouse

What is an SQL server?

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.

What are the advantages of a data warehouse based on Microsoft SQL?

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.

Do you need a data warehouse to use Power BI?

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.

What is the difference between a Power BI data warehouse and a database?

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.

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