Case Study:
Modernizing Financial Insights Through Data Lakehouse Innovation
About the Client
Our client, one of the Midwest’s most prestigious private research institutions, is a leader in advancing scientific research, medical innovation, and public engagement. Known for its cutting-edge projects, the institution sought to develop a centralized platform for integrating and sharing data across multiple disciplines.
Summary
The finance leadership at a prestigious academic medical center faced challenges in creating trusted enterprise reporting from decentralized, highly regulated finance data. A transformation was needed to shift from centralized support to empowering users at all levels with actionable insights.
Databasin implemented a cutting-edge data lakehouse fabric, enabling users to create self-service financial models and evaluate analytics capabilities. This innovation transformed reporting, enhanced discovery, and established a trusted single source of truth for enterprise insights.
Challenge
Modernizing financial reporting within an elite institution is never straightforward, especially when dealing with a multi-century legacy, decentralized business structures, and the complexities of highly regulated finance data. Our client’s finance leadership team had a bold vision: to establish a single source of truth that would deliver trusted enterprise reporting across the organization.
This required more than a technical overhaul. The institution needed to transition from a centralized support model to a business empowerment framework that enabled users to independently create, explore, and refine financial analytics. The challenge lay in aligning stakeholders, ensuring compliance, and implementing a scalable solution that could adapt to evolving institutional needs.
Solution
Technology Partners collaborated closely with the client’s financial stakeholders to identify and address their most pressing pain points. The mission was to revolutionize reporting and discovery across all organizational levels—Executive, Managerial, and Analytical—by pioneering advanced methodologies and delivering a state-of-the-art data infrastructure.
Key features of the solution included:
- Data Lakehouse Fabric: A scalable, centralized data environment that integrated structured and unstructured financial data to form a trusted single source of truth.
- Self-Service Analytics: Empowered users to construct their own financial models, evaluate analytics capabilities, and perform deep-dive analyses independently.
- Highly Dimensional Models: Enabled multi-faceted insights through advanced data modeling techniques, providing comprehensive views of financial performance and trends.
This approach transformed financial reporting into an accessible, adaptable, and highly interactive process, fostering empowerment and discovery across the institution.
Results
The implementation of the data lakehouse fabric marked a turning point for our client’s financial operations. By consolidating decentralized finance data into a single, scalable platform, TPI enabled trusted enterprise reporting and empowered users to take control of their analytics.
The innovation improved transparency and efficiency, with financial stakeholders at all levels benefiting from faster, more accurate insights. Self-service capabilities allowed users to independently explore and model financial data, reducing reliance on centralized support and creating a culture of discovery and empowerment.
Key Outcomes
- Trusted Enterprise Reporting: Established a single source of truth for accurate, consistent financial insights—solving the reporting challenges posed by Workday and SAP.
- Self-Service Empowerment: Enabled users to construct and refine their own financial models, fostering independence and innovation.
- Advanced Analytics: Delivered highly dimensional models for in-depth analysis of financial performance and trends.
- Scalable Infrastructure: Built a data lakehouse fabric adaptable to evolving institutional needs.
- Increased Transparency: Improved trust and decision-making across all levels of financial operations.
We were able to give the client first-of-its-kind reporting through new data relationships, providing the connective fabric for their disparate data.
Jake Gower
Databasin
Co-Founder, Cloud Data & AI Director
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