SAP to Databricks on Azure: 4 weeks implementation

By leveraging the capabilities of Azure Databricks, we help leading enterprises with an SAP footprint optimize their data processing with our comprehensive analytics solutions

Transform your SAP data into actionable intelligence: Combine and manage data from multiple sources Streamline Analytics Lifecycle Enrich solutions with additional data and services Enable self-service insights and powerful dashboards

Jumpstart your analytics with one of the use cases KPI’s: Sales volume Sales Value Order Item to Invoice Order Item Readiness Growth Profitability Liquidity Accounting

Take the first step towards data-driven decision making with our streamlined analytics framework for your SAP and Non-SAP data In the Fine-grained SAP Analytics Proof of Value, our experts will use creative ideation approaches to envision opportunities in your environment and deploy a custom environment to showcase the business and technical impact of the Analytics framework through comprehensive Power BI dashboards

Key Capabilities: Envision Conduct an Envisioning session with the customer stakeholders to understand their current business challenges and derive use cases to address their pain points

Assess and Plan Understand customer’s current state, target architecture and environment and do a gap analysis to provide a clear and actionable blueprint.

Proof of Value Design the architecture and deploy the ideated solution in accordance with the customer’s data ingestion and analytics needs

Review Deliver an MVP (Minimum Valuable Product) dashboard, in line with the use case fulfilling customer needs and expectations. Explore the potential impact of the solution.

Final Deliverables (Duration: 2-4 Weeks) 1 Power BI report with up to 2 pages view with 5 KPIs from one of the selected use cases Standard definition of KPI’s covered and training on how to use and navigate through a Power BI report

SAP to Databricks on Azure Week 1-2 Establishing connectivity between SAP ECC or S/4HANA by setting up the environment.

Week 2-3 Developing ETL pipeline within Azure Data Factory for both historical and incremental loads: Migrating the logic from SAP BW/HANA to corresponding logic within Lakehouse on Azure Databricks. Develop an abstracted data model consisting of Fact and Dimension Views within Lakehouse

Week 3-4 Power BI reports on top of the data model developed within Lakehouse

About Celebal Technologies Celebal Technologies are the 2021 Microsoft country partner of the year, specializing in the fields of Data Science, Big Data and Enterprise Cloud, helping leading businesses leverage their data by seamlessly combining modern analytics with traditional enterprise.