An operations dashboard for a tech company is a live, company-wide view that unifies revenue, cost, product usage, pipeline, and support from separate systems. It answers 'how is the business doing right now?': a different question from product analytics tools like Amplitude or Mixpanel, which measure how users behave inside the app.
The Monday-Morning Metrics Scramble
In most tech companies, revenue lives in billing, usage in the product database, cost in cloud bills, pipeline in the CRM, and tickets in the support tool. Every week someone stitches a board deck together by hand from five exports. By the time it's assembled, half of it is already stale, and nobody saw the metric move until the meeting.
Product Analytics vs Operational Intelligence
- Product analytics answers 'how do users behave in our product?': funnels, retention, feature adoption.
- Operational intelligence answers 'how is the company performing?': revenue, burn, pipeline, SLA, usage, together.
- Product analytics is for product and growth teams. Operational intelligence is for leadership, ops, and RevOps.
- You usually need both: they're not competitors, they answer different questions.
What Belongs on a Company Operations Dashboard
- MRR / revenue and net retention
- Burn and cloud cost against revenue
- Active usage and product health at the business level
- Pipeline, win-rate, and forecast
- Support load and SLA performance
The Test: Could You See a Problem Today?
Here's the honest test of whether you need one. If revenue dipped, cloud cost spiked, or an SLA was breached this morning, would you know now, or in next week's review? If the answer is 'next week', the weekly deck isn't a reporting habit, it's a blind spot.
“Product analytics makes your product better. An operations dashboard makes your business legible. Confusing the two is why leadership still rebuilds the metrics deck by hand.”
How DataGrid Fits
DataGrid connects your billing, cloud, product, CRM, and support tools with pre-built connectors and unifies them into one real-time company dashboard, with AI that flags anomalies 24/7. It's an operations layer for the whole business, built for ops and RevOps leads rather than data engineers, so the weekly metrics scramble simply stops.