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SQL Server Analysis Services


Whether it's on-premises or in the Cloud on Microsoft Azure, we are ready to help you optimize your deployments of SQL Server Analysis Services.

Our services


Organizations often use SQL Server Analysis Services to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables or files. We can integrate this online analytical and data mining tool to discover your data at the granular level.

DB Best has helped hundreds of customers deliver Business Intelligence solutions across their entire organization. With our solutions, based on Microsoft SQL Server Analysis Services, you can get valuable data insights to keep up with your business growth and empower executives, managers, and other corporate end users across your organization to make faster, more informed business decisions.

What We Do


Having a great experience in crafting BI systems for various companies worldwide, we can discover the very best BI solution that fits your requirements. Particularly, we can:

  • Provide technical expertise in mapping multiple data sources to Microsoft SQL Server Analysis Services.
  • Ensure credible and consistent data without the need to change data sources.
  • Accelerate and improve decision-making solutions to increase operational efficiency.
  • Deliver a familiar user experience while gaining competitive advantage over business rivals.
  • Ready to help you with a Proof of Value project to identify market trends.

Getting started with SQL Server Analysis Services


We’ve got a number of basic offerings to get started with Microsoft SQL Server Analysis Services.

Everybody is talking about the need for a digital transformation, but how do you get there? See how our future-state architecture design can use cutting edge technology to meet your organization’s needs.

This engagement explores how to take your BI solutions on premises or in the cloud to the next level with technologies including Analysis Services, Power BI, and Reporting Services.

Global Retailer Tunes up OLAP Performance Ten-fold


When a company grows, it’s no surprise that their database stored data grows as well. This is the case for all companies, and our customer, a global retailer in the beauty industry, was no exception. While working on this project, we managed to increase the average speed of query execution by 30x, saved up to 190 GB of memory, freed up 28 GB of disk storage space, and improved the overall performance of the OLAP Cube by 3x. Prior to these great results, there was a hard optimization process performed on the customer’s system based on the OLAP cubes technology.

We optimized the cubes’ multidimensional structures, in addition to building some new OLAP cubes as well. We removed the unused dimensions’ hierarchies, deleted unused links in tables and databases, and optimized the processing logic of the data calculation system inside the OLAP cubes. As a result, the calculation time for the cubes decreased Three-fold.

We also made some qualitative improvements to increase the performance of the complex ETL processes that resulted in working about 2.5 times faster than before.

We implemented MDX code audits. Upon reviewing the code, we optimized the MDX queries and increased the speed of their execution by up to 30 times.

We managed to reach these fabulous results during a complex Big Data Management Project.

Watch the following video to see how we did it!