Data Warehouse

A well-structured data warehouse will set the groundwork for all other elements of Business  Intelligence.

It should provide easy access to consolidated data while working as a database for the OLAP  cubes, selected reports and data mining analyses. 

The proper structure of a data warehouse during the beginning stages is crucial to the efficiency of  the latter stages. 

Building a data warehouse (BW)

The building stage is the most important one when creating and introducing an effective Business  Intelligence Platform. Whether the data is cohesive, its scope and speed all depend on it. 

Although the performance optimization focuses mostly on the accessing aspect, the transformation  speed and loading time are also essential.

While introducing the data warehouse we use widely recognized Integration Services techniques  that are part of the SQL Server.

We were awarded a Microsoft certificate confirming the efficiency of our techniques: “Implementing a Data Warehouse with Microsoft SQL Server 2012”. 

Why Microsoft BI?

Microsoft has been a leader when it comes to Gartner Magic Quadrant in the Business Intelligence and  Analytics Platform categories. Some companies consider even appearing in the Quadrant a great  success. 

This leading position is a result of good reviews from Microsoft Business Intelligence’s clients. 

Various capabilities of the BI platform and its very good cooperation with MS Excel have also been a  deciding factor. 

The Gartner Magic Quadrant experts have also noticed how easily adaptable the platform is when it  comes to its organization and that its users tend to stay loyal to it.

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