SQL Server BI
Build on Experience: Microsoft SQL Server BI is
THE FOUNDATION OF YOUR ANALYTICS SOLUTION
Microsoft SQL Server BI -
The Right Solution for...
- Data Preparation and Storage
- Development and Deployment of Complex Tabular and Multidimensional Models
- Enterprise-wide Standard Reporting
- Transparent Integration of Big Data and Modern Analytics into DWH Environments
Our Expertise with Microsoft BI Software:
59
13
59
Driving Force in the Analytics Market
WHY MICROSOFT STANDS OUT
Microsoft was recognized as a leader for the 13th consecutive time in the „Gartner 2020 Magic Quadrant for Analytics and Business Intelligence Platforms“.
By choosing Microsoft SQL Server BI, you opt for a BI solution that seamlessly integrates traditional DWH and BI with modern approaches such as Big Data Analytics and Self-Service BI. Its tight integration with Power BI, Hadoop, and Spark enables rapid data exploration, integration, and provision to users for their independent analyses. Deploy SQL Server BI on-premise, in a cloud environment, or within a hybrid scenario.
We successfully leverage SQL Server BI for the following applications:
While Self-Service BI often accelerates data utilization, it can introduce inconsistencies and security vulnerabilities in information consumption. We demonstrate how to augment your Power BI with essential components to prevent uncontrolled proliferation, all while preserving agility.
For many clients, SQL Server BI represents a cost-effective and technically current alternative to their existing DWH solution.
Many analytics modernization initiatives have created a parallel analytics environment with tools such as Hadoop, Spark, R, and Python, alongside the DWH. This silo formation leads to inefficiencies and unnecessary coordination efforts. SQL Server BI integrates these environments, ensuring unified access paths across all technologies.
Due to its flexible deployment options and freedom of choice regarding languages and environments, SQL Server BI is the preferred choice for gradual migrations. Avoid the 'big-bang' risk and migrate incrementally, with the flexibility to adapt decisions throughout the project lifecycle. Build once – run anywhere.
What Makes Microsoft SQL Server BI
ATTRACTIVE FOR OUR CLIENTS?
- Scalable Data Persistence with Kubernetes in the Cloud or On-Premise on Windows and Linux
- Faster Queries through In-Memory Technologies
- Seamless Complementation with Big Data Storage in Hadoop and Analytics in Apache Spark
- Powerful Data Preparation with Integration Services
- Data Management Support through Master Data Services and Data Quality Services
- Transparent Querying of All Data via a Single SQL Interface with Polybase, without Prior Data Movement
- 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 Multiple Languages and Open-Source Environments
- Utilization of Existing Development and Operational Expertise
- Hybrid Solutions for Operational and Analytical Workloads
Christoph Schmid
Senior Manager
Data & Analytics
christoph.schmid@isr.de
+49(0)151 422 05 418