SAP data in Microsoft Analytics & Data Platform: 5 days Proof-of-Concept

You have all the data in your SAP, but getting reports and dashboards takes long? Combining SAP data with additional sources is not possible?

Experience in this PoC with your data, how to accelerate time to market 2-10x and how to double user satisfaction.

The user-friendly interface together with the low entry barriers, make Power BI the favorite tool for casual and power users alike. This helps your company to become more data-driven. Power BI can also be used with SAP data; however, if not using the right interfaces and applying the correct governance, issues quickly appear:

• Incorrect / inconsistent reports
• Circumvention of data security /authorizations
• Data redundancy and leakage
• Licensing issues
• Expensive and error prone maintenance

No two enterprises with SAP and Microsoft are the same. Goals, systems and organizations differ. In this proof of concept we validate for you the functionality and performance of the best Power BI to SAP setup.

Scope

Day 1: Set Goals and create common understanding

• reporting / dashboarding topics
• goals and challenges
• key functional and performance goals to be validated

Day 2-4: Proof-of-concept

• PoC architecture design
• Data source connection
• Implementation of 2-3 reports in Power BI
• Measure results against goals

Day 5: Assess results

• Identify improvements, define and prioritize supporting measures
• Document and discuss results
• High-level cost estimate, suggestions for further improvement.

Deliverables:

• Executive summary, customer business objectives
• Architecture: Intended services include, but are not limited to: Azure Synapse, Purview, Azure Data Factory, Azure SQL DB, Azure SQL DW, Stream Analytics, Azure Data Lake, Azure Databricks
• Proof-of-concept in Power BI (including PBIX file)
• Identified business risks – Relating to data and cloud governance.
• Modernization strategy – Actionable set of data platform and process recommendations, including practices and toolsets based on the selected use case/s.
• Azure consumptions estimates & reference architecture