Why SAP data analytics projects often take weeks
SAP data is distributed across many tables. Without prepared data models, it often takes weeks before Power BI dashboards or meaningful insights can be created.
Complex SAP data structures
Business data is distributed across many tables and must be combined manually.
01
Manual data modeling
Transformations such as currency conversion or language handling often need to be implemented individually.
02
High development effort
Many analytics projects require significant data engineering work.
03
Long time-to-insight
Teams often need weeks or months before the first analyses are available.
04
Lack of standardization
Custom data models lead to inconsistent reports and make scaling difficult.
05
Focus on infrastructure instead of insights
Teams spend more time preparing data than analyzing it and generating business insights.
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Business Process Solutions and dab Nexus for fast SAP data analytics
With Microsoft Business Process Solutions and dab Nexus, SAP data is automatically transformed into structured data models and Power BI dashboards.
SAP data extraction with dab Nexus
Integration into Microsoft Fabric
Automated data pipelines
Prebuilt Power BI dashboards
Support for core SAP processes
Fast implementation
The benefits of Microsoft Business Process Solutions for our costumers
Time-to-insight in just a few days
Analytics are available within days instead of weeks.
01
Reduced development effort
Prebuilt data pipelines reduce the need for extensive data engineering.
02
Standardized data models
Consistent data structures improve reporting and analytics.
03
Scalable analytics platform
Microsoft Fabric enables modern, cloud-based SAP data analytics.
04
Focus on business insights
Teams can focus on analysis instead of data preparation.
05
Fast start for SAP data analytics
Ideal for finance reporting, sales analytics, and procurement analysis using SAP Power BI on Microsoft Fabric.
06
Our references speak of success
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