Modern reporting solution that simplifies contract management

About the company

Our client offers contract and royalty management solution to some of the world’s biggest brands—including leaders in apparel, sportswear, and consumer goods. Their platform manages highly complex royalty programs, ensuring that premium clients can track sales, contracts, and revenue with precision and drive global operations spanning domestic and international clients.

The challenge

For a company managing royalty data for premium brands, timely and accurate reporting is non-negotiable. And they are also trusted for their ability to manage sensitive client data and deliver accurate, complex, and timely reporting for their clients.

• Expensive reporting costs: They currently maintain their reporting workflows on postgresql and Jaspersoft systems, whose license costs were high. Since the license was about to expire, they considered moving to a more cost-effective reporting setup.

• Slow reporting cycles – generating client reports often meant long turnaround times. This was because every client data involved multiple stored procedures and complex logic, which required too many manual validations or interventions required.

• Performance Bottlenecks – With growing data volumes, SQL-driven processes struggled to keep up, leading to delays and inconsistent performance.

• Limited Agility – The client would appreciate ad hoc reports with more trench-level detail and KPIs, which would require additional effort. And these reports were needed on time, as delays mean diminished value in royalty and contract management.

Our client wanted to eliminate these bottlenecks and set up analytics-driven processes for client reporting for more transparency, speedy time-to-insights, and no missed opportunities.

Our solution

Our data engineering team worked closely with the client to modernize their reporting architecture by leveraging Microsoft Fabric and Power BI.

The goal was to move beyond the limitations of Postgres and SQL-driven workflows and build a more scalable, metadata-driven reporting foundation.

Our solution included the following milestones:

• Data migration: Reporting data was migrated from PostgreSQL to Microsoft Fabric, creating a foundation for scalable, high-performance analytics.

• Report development: Around 15 Power BI reports were designed and built, covering both domestic and international sales analysis. These included domestic detail and summary reports, top-selling retailers and styles, international monthly summaries, regional reports, catalog insights, and order overviews.

• Metadata-driven logic: Complex PostgreSQL logic was re-engineered into metadata-driven stored procedures within Fabric, making report generation spontaneous, faster and easier to maintain.

• Data pipeline layers: A structured bronze-silver-gold data layer approach was implemented to ensure cleaner, validated, and business-ready data at every stage of the reporting pipeline.

• Deployment & access: Reports were published and deployed in the appropriate Power BI workspaces, ensuring seamless access for end-users across different business functions, all within 60 days from when we started.

The impact

Following are the immediate changes and impact felt and reported by the client:

• Faster turnaround: Reporting cycles that previously involved delays and manual effort were significantly streamlined, giving client teams quicker access to critical insights.

• Improved performance: Performance issues, especially low speed, were fixed, ensuring reports refreshed and ran with greater reliability.

• Unified global insights: With domestic and international sales now consolidated into a unified solution, the client could provide their clients with a single, intuitive interface for both detailed and high-level views.

• Higher client confidence: By validating every metric against original reports, we could ensure accuracy was uncompromised—building confidence among internal teams and client stakeholders alike.

Final thoughts

Beyond immediate reporting gains, the migration laid a scalable foundation that can easily support additional reports, clients, and advanced analytics in the future. In the words of the team, this project reduced reporting time, eliminated delays, and solved performance issues—turning reporting from a bottleneck into a business enabler.