SQL Server BI
Build on experience: Microsoft SQL Server BI is
THE FOUNDATION OF YOUR ANALYTICS SOLUTION
Microsoft SQL Server BI -
right solution for...
- Data preparation and storage
- Development and provision of complex tabular and multidimensional models
- Company-wide standard reporting
- Transparent integration of big data and modern analytics in DWH environments
Our expertise with Microsoft BI software:
50 +
13
5,6
Driving force in the analytics market
WHAT SPEAKS FOR MICROSOFT
Microsoft has been recognized as a leader in the "Gartner 2020 Magic Quadrant for Analytics and Business Intelligence Platforms" for the 13th time
With Microsoft SQL Server BI, you are opting for a BI solution that seamlessly combines classic DWH and BI with modern approaches such as big data analytics and self-service BI. Thanks to the close integration with Power BI, Hadoop and Spark, you can quickly examine and integrate any data and make it available to your users for their own analyses. Use SQL Server BI on your own computers on-premise, in a cloud or in a hybrid scenario.
We are already successfully using SQL Server BI for the following tasks:
Self-service BI is often successful in accelerating the use of data, but leads to gaps in the uniformity and security of information use. We will show you how to add the necessary building blocks to your Power BI and avoid uncontrolled growth without losing agility.
For many customers, SQL Server BI is a cost-effective and technically up-to-date alternative to their existing DWH solution
Many analytics modernization initiatives have created a parallel analytics world with tools such as Hadoop, Spark, R and Python alongside the DWH. This siloing leads to inefficiencies and unnecessary coordination. SQL Server BI integrates these worlds and ensures uniform access paths from all technologies.
The flexible deployment options and freedom of choice in terms of languages and environments make SQL Server BI the tool of choice for step-by-step migrations. Avoid the big bang risk and migrate step by step with the option of changing decisions during the course of the project. Build once - run anywhere.
What makes Microsoft Server SQL BI
ATTRACTIVE FOR OUR CUSTOMERS?
- Scalable data storage with Kubernetes in the cloud or on-premise on Windows and Linux
- Faster queries thanks to in-memory technologies
- Seamless addition of big data storage in Hadoop and analytics in Apache Spark
- Powerful data preparation with the Integration Services
- Data management support through Master Data Services and Data Quality Services
- Transparent query of all data via an SQL with Polybase without prior transport
- Complex tabular and multidimensional business models with Analytical Services
- Enterprise reporting and visualization with Reporting Services
- Tight integration with Power BI for self-service analytics, e.g. via the Power BI Report Server
- Access via many languages and open source environments
- Utilization of existing development and operational know-how
- Hybrid solutions for operational and analytical load
Christoph Schmid
Senior Manager
Analytics & Insights
christoph.schmid@isr.de
+49(0)151 422 05 418