From Chaos to Cohesion: Streamlining Tech Stacks with a PE-Native Data Architecture
Client Overview
A leading private equity firm managing billions in assets faced challenges with a fragmented tech stack of disconnected tools such as Salesforce, Anaplan, and Tableau. Faced with manual processes, inconsistent data, and operational bottlenecks, they sought Brownloop’s consulting expertise to help integrate their tools into a cohesive, PE-native data architecture.
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Streamlining Tech Stacks with a Private Equity Data Architecture
Client Overview
A leading private equity firm managing billions in assets faced challenges with a fragmented tech stack of disconnected tools such as Salesforce, Anaplan, and Tableau. Faced with manual processes, inconsistent data, and operational bottlenecks, they sought Brownloop’s consulting expertise to help integrate their tools into a cohesive, PE-native data architecture.
Client Challenges
Fragmented Tech Stack
The firm was using tools such as Salesforce, Anaplan, Tableau, and Snowflake, which excelled individually, but couldn’t integrate, leading to isolated data silos and duplication of efforts.
Inconsistent Data Across Tools
Each tool maintained its own version of the data, leading to inconsistent and conflicting information between systems, especially during LP reporting when accuracy was crucial.
Manual Data Wrangling and High Dependency on Excel
The firm relied heavily on Excel for data handling, causing slow data imports, updates, and report generation, which led to errors, inefficiencies, and delays in LP reporting.
Lack of Data Integration and Real-Time Insights
The existing tools couldn’t communicate with one another and required manual data transfer between systems. Reporting was bogged down by slow data updates, delaying time-sensitive processes.
Inefficient Reporting Processes and Inconsistent Reporting Cycles
LP reporting took up to 18 days to complete, creating bottlenecks and leaving leadership with outdated insights.
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Brownloop Solution
Canonical Data Model
Developed a private equity-specific, canonical data model as a single source of truth, aligning all systems under a unified structure, for consistent definitions across all data and tools.
Data Integration Layer
Built a data integration layer using Fivetran to automate data extraction from operational systems, and Snowflake as the integration hub. Bidirectional syncing was implemented to keep systems aligned.
Automation of Manual Touchpoints
Mapped out 23 key manual touchpoints and automated them to reduce the reliance on manual data exports, imports, and Excel-based reporting.
Production-Ready Artifacts
Delivered over 100 production-ready artifacts for multiple teams, including automated reports, dashboards, and analysis tools.
Reporting and Insights Generation
Implemented AI-powered reporting and dynamic dashboards, helping the firm shift to AI-assisted, automated outputs for up-to-date insights into performance metrics.
Scalable Architecture
Designed a scalable solution with Snowflake as the integration hub, ensuring that the platform could handle an increasing volume of data, expanding business needs, and future tools and platforms.
Self-Service Reporting Tools
Value-Driven Results
83% Reduction in LP Reporting Time
90% Reduction in Monthly Review Prep Time
Monthly review prep time fell from 40 hours to 4 hours, freeing up time for strategic analysis.
100+ Manual Tasks Eliminated
90% Reduction in Data Discrepancies
Data discrepancies dropped from 15-20 per quarter to less than 2, ensuring more consistent and reliable data across systems.
1,200+ Hours Saved Per Quarter
Over 1,200 hours of senior analyst time were reclaimed each quarter, allowing teams to focus on higher-value tasks.
60% Reduction in External Reporting Costs
External reporting vendor costs were reduced by 60%, optimizing existing tools and maximizing ROI.
Conclusion
Brownloop’s PE-native data architecture transformed the firm’s fragmented tech stack into an interconnected ecosystem. By automating key workflows and reducing data discrepancies, the firm could generate real-time, accurate reports that allowed leadership to make more informed decisions. With these improvements, the firm maximized ROI on existing tools and set the foundation for future growth.
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Transform your tech stack with a PE-native data solution.
