Your data has answers. We build agents that use them.

I analyzed all 22 accounts by how actively they use the product and how they rated us. Six Champions are highly engaged and happy — they're your best candidates for upsells, especially Apex Systems and Orion Labs. Your Loyalists love us but aren't using the product much yet, so there's room to drive deeper adoption.

On the risk side, 3 Critical accounts representing $480K in ARR need immediate attention before quarter close — Meridian Corp and Vaultex are the most urgent. Another 7 At Risk accounts are showing low satisfaction despite heavy usage, but they're still recoverable this quarter with targeted outreach.

DataGOL's value proposition centers on helping organizations turn raw data into actionable insights — quickly, reliably, and at scale. It is a business user-focused Unified Agentic Data Platform that combines AI agents, analytics, and no-code workflows into a single experience.

Core Value Drivers

1. Unified Data Access. Brings together data from databases, APIs, and cloud apps into a single accessible platform — reducing silos and keeping teams on consistent data.
2. Faster Decision-Making. Real-time and near-real-time analytics move users from data to insight in minutes, not days — without waiting on manual reports.
3. Self-Service Analytics. Intuitive dashboards and low-code/no-code tools let non-technical users explore data without heavy reliance on engineers.
4. Automation & Efficiency. Automated pipelines, reporting, and alerts remove repetitive work so teams focus on higher-value analysis.
5. Scalability. Handles growing data volumes — from small datasets to enterprise-level workloads — without major infrastructure changes.
6. Cost Optimization. Consolidates tools and streamlines workflows, removing the need for multiple separate analytics or ETL solutions.

Value by Role

• CEOs, COOs & CFOs: Real-time visibility across bookings, billing, churn, and AOP tracking.
• RevOps & Finance: Automated reconciliation across sales, billing, and accounting — no more Excel headaches.
• Product & CS Teams: Deeper understanding of how usage, support, and NPS impact churn and expansion; automated QBRs and embedded analytics.
• Marketing: End-to-end funnel tracking with conversion metrics tied to pipeline and bookings.

In short

DataGOL simplifies data management and accelerates insight generation, so organizations can make smarter decisions with less effort and complexity — turning chaos into a transformation catalyst, not just another tool.

I grouped the transactions by payment_processor and aggregated gross_payment_volume alongside net_revenue_usd for Q3. The chart below makes it easy to compare performance across providers — Stripe and PayPal lead, while long-tail processors contribute less than 10% of volume.