CASE STUDY
Project Overview
Whether supporting investment reporting for a private equity firm or building the business logic behind recurring revenue analysis for a financial operations platform, the goal remains the same: creating trusted data foundations that enable better business decisions.
Project Overview
Whether supporting investment reporting for a private equity firm or building the business logic behind recurring revenue analysis for a financial operations platform, the goal remains the same: creating trusted data foundations that enable better business decisions.
Business Needs and Solutions
PRIVATE EQUITY CLIENT
Business Need
A private equity firm needed greater visibility into investment activity, capital allocation, portfolio performance, and year-over-year trends. Data was spread across multiple CRM systems, making it difficult to produce consistent, reliable reporting.
Solution
Working alongside LevelUp Finance, Distillery helped consolidate CRM data into Snowflake before modeling it into analytics-ready datasets. These structured data models became the foundation for Power BI reporting, giving stakeholders a more consistent view of investment performance and operational metrics.
Business Need
A private equity firm needed greater visibility into investment activity, capital allocation, portfolio performance, and year-over-year trends. Data was spread across multiple CRM systems, making it difficult to produce consistent, reliable reporting.
Solution
Working alongside LevelUp Finance, Distillery helped consolidate CRM data into Snowflake before modeling it into analytics-ready datasets. These structured data models became the foundation for Power BI reporting, giving stakeholders a more consistent view of investment performance and operational metrics.
FINANCIAL OPERATIONS PLATFORM
Business Need
A financial operations platform needed a more accurate way to track Annual Recurring Revenue (ARR). The challenge extended beyond calculating revenue. It required distinguishing between recurring and non-recurring revenue movements while accurately classifying changes such as upsells, price adjustments, expansions, and contractions.
Solution
Using the client’s existing ClickHouse data warehouse, Distillery developed the business logic and reporting-ready data models needed to support accurate ARR analysis. By establishing a clean, structured data foundation first, the team enabled future reporting that reflects the client’s unique revenue classifications.
PARTNERING BEYOND DELIVERY
Working closely with LevelUp Finance and the client, the team maintained open communication, helped address blockers, and kept stakeholders informed throughout the transition. By remaining actively engaged beyond day-to-day development work, Distillery helped maintain project momentum, reinforce client confidence, and ensure the engagement continued moving forward.
Working closely with LevelUp Finance and the client, the team maintained open communication, helped address blockers, and kept stakeholders informed throughout the transition. By remaining actively engaged beyond day-to-day development work, Distillery helped maintain project momentum, reinforce client confidence, and ensure the engagement continued moving forward.
Outcomes Achieved
Client
LevelUp Finance is a data-first finance consulting firm that helps finance teams build governed data warehouses, automate financial reporting, and create business intelligence solutions within their existing data infrastructure. By combining finance expertise with data engineering and analytics, LevelUp Finance enables organizations to replace manual reporting processes with scalable, trusted data foundations that support strategic decision-making.
