Challenge

Disparate data systems cause opaque workflows

• RealPage provides property management software to real estate companies worldwide. At a scale of 24 million property units and half a billion transactions handled annually, data silos cause core workflows in billing operations and customer retention to be slow, opaque, and reactive.
• RealPage needed data-driven answers to questions like:
• How can we prevent revenue leakage from billing mismatches across disconnected systems?
• How do we optimize analysis delays from manual Excel reconciliation?
• What are the most impactful action items to take for customer churn management and early intervention?

Solution

Solution

A unified, single-interface analytics workhorse

RealPage integrated Ana with their financial system of record in Oracle ERP, Salesforce CRM tool, and Databricks warehouse. TextQL provides a unified analytics layer interfaceable through natural language for customer success operations, revenue analysis, and retention management. Use cases include: Data quality optimization for detection of billing data anomalies, such as missed billings, mapping issues, and misclassifications. Customer retention and churn analysis for identification of high-risk churn customers and drivers for property management companies with real-time predictive signals beyond monthly scoring. Contract analysis and scoring with multi-vector analysis extracting pricing, terms, and implementation status from unstructured contract PDFs for revenue recognition.

Impact

Database-validated accuracy at enterprise scale

• Efficiency: data analysis that took weeks now completes in minutes with "an incredible amount of speed".
• Accuracy: results validated against direct database queries for enterprise-grade reliability on critical financial decisions.
• Scale: hundreds of thousands invoice records processed across data systems.
• ROI: automation of manual work across engineering, analytics, and finance teams.