Combine the strengths of SAP and Microsoft Analytics. Build a powerful, high-performing, low maintenance architecture and avoid licensing issues.
SAP maps enterprise processes perfectly. Business logics, authorizations, hierarchies and translations are largely delivered out of the box. SAP analytics functionality works best with SAP data; however, once data from third-party systems needs to be integrated, development and maintenance become slow and expensive.
Microsoft impresses with rapid development, broad innovation, low entry barriers and a huge developer community; however, integrating SAP data by replicating data, logic and authorization is tedious. This is often not possible due to license restrictions.
SAP and Microsoft Analytics can be combined by choosing the right interfaces.
No two enterprises with SAP and Microsoft are the same. Goals, systems and organizations differ. In this assessment we create your individual roadmap and recommendations for your next steps.
Day 1: Goal setting and Kick-off Create a common understanding of your As-is situation: Typical questions: Business: o What is required by user business today / for the future? o Which stakeholder groups do we focus on? o What are the current pain points? Organization: o What are the data- and tool literacy challenges? o How are new requirements prioritized? o How is the current landscape managed? Technical: o Which SAP and third-party systems do you have / plan? o Which interfaces already exist? o What is the licensing situation?
Day 2-3: Stakeholder interviews and System Deep-Dive • Interviews with selected stakeholders from business and IT. • Analyse existing systems together with IT. • Analyse documentation and architecture artifacts. Gather and review licensing situation.
Day 3-5: Identify improvements, define and prioritize supporting measures • Identify improvements in the areas of architecture, processes and licensing. • High-level cost estimate, suggestions of proof-of-concepts for validation.
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 • 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