SaaS Platform Automates Analytics, Cuts Reporting Time
Empowering product and ops teams with instant access to critical usage metrics, accelerating data-driven decisions.
The Problem
Product teams faced multi-day reporting delays due to manual SQL query requests for usage metrics.
The Enterprise SaaS Platform's product and operations teams were heavily reliant on the engineering department for even basic usage metrics. This manual, ad-hoc process of submitting SQL query requests created significant bottlenecks, leading to multi-day delays in reporting. Consequently, strategic decision-making was hampered, product iteration cycles slowed, and valuable engineering resources were diverted from core development to routine data retrieval tasks, impacting overall efficiency and time-to-market.
DATAISOL engineered a sophisticated 'SaaS Analytics Automation' solution for the Enterprise SaaS Platform. We developed a custom agentic AI framework integrated with their data warehouse. This system leverages advanced LLMs to understand natural language requests for usage metrics from product and ops teams. The AI translates these requests into optimized SQL queries, executes them, and presents the results in user-friendly dashboards. The solution included robust data validation, access control, and continuous learning capabilities to improve query accuracy and performance over time, transforming raw data into actionable insights.
95%
Reporting Time
Reduction in time to generate standard usage reports
80%
Engineering Load
Decrease in ad-hoc SQL query requests to engineering
Instant
Data Accessibility
Time for product and ops teams to access key metrics
“DATAISOL's solution has fundamentally transformed how we access and utilize product data. What used to take days now takes minutes, empowering our teams and accelerating our roadmap.”
Head of Product Operations, Head of Product Operations
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