The Challenge

The client wanted to create a solid foundation for their Data Warehouse and Power BI strategy, a framework that would let them to grow and scale their solutions as they work toward data modernization. But their existing timecard and payroll system didn’t offer automated integration and their ETL process was largely manual.

Objectives from this project included:

• Transform SQL Server into a data warehouse withexpanded data sets, enhanced modeling, and streamlined integrations
• Integrate and automate data flows from the Paycom application and Microsoft Dynamics NAV to the new data warehouse
• Automate data processing from the new data warehouse to flow into Power BI for analytics reporting and dashboarding

The Solution

To help them with this, we boosted their team with some highly experienced technical and functional resources. We brought in experts to effectively plan, design, manage, and execute the end-to-end development of a data warehouse that uses their instance of SQL Server to feed Power BI.

Our developer performed SQL Database modeling of Fact & Dimension Tables, calculations, and stored procedures used to facilitate the integration and orchestration of data between multiple third-party source systems and Power BI.

The Outcome

Because of this work, the client has gained the ability to report against data that originated in separate source software products in an automated and controlled environment. This has reduced the amount of manual effort needed to facilitate the delivery of data visualizations and insights from source systems to Power BI.

They now have a data warehouse that will act as a central storage and orchestration layer that can be enhanced over time as they expand. It can be scaled at any time to add additional data sets while adding historical preservation of data with added security and best-practice standardization. Plus, new data insights are now available through Power BI as a result of a single data warehouse connecting data elements that were once disparate.

This project has introduced 38% more KPI metrics across 50% fewer Power BI tabs, making data analytics search and visualization easier, faster, and deeper, offering greater relational insight.

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