Onur Ovalı

AI, Data & UX-Driven Product Growth

Data Products & Analytics

Data that drives decisions.

I turn messy, raw data into clear, actionable products — dashboards, visualizations, and analytics built right into your app or admin panel. (I've owned analytics products processing billions of events a day, and built ViziAI, which turns lab PDFs into readable trends.)

Work with me → How it works
What I build

Insightful, actionable, in-product.

Not another dashboard nobody opens — data people actually use to decide.

01

Dashboards & viz

Clear, fast dashboards — Metabase or custom — designed for decisions, not decoration.

02

In-product analytics

Data features built into your app or admin panel, where your users and team already are.

03

Metric frameworks

North Star, funnels, and the input metrics that actually move the business.

04

Self-serve & culture

Enable non-technical teams to answer their own questions with data.

Made to be used

Dashboards people actually open.

The right metric, up front. Clear hierarchy, honest charts, and a design that makes the next action obvious — for founders and non-technical teams alike.

Product dashboardillustrative
34%
Activation
8.4k
Weekly active
4.1%
Churn
M1M5M7
How I work

From raw data to a decision.

Start from the decision you need to make — then build backwards to the data.

Sourcesproduct, ads, sales Clean & modelone source of truth Metricsthe ones that matter Visualizedashboard / in-app Decideact on it ↻ EVOLVES AS YOUR PRODUCT DOES
How we’d work together

Clear from question to answer.

Every step tied to a decision you're trying to make.

1

Question

What decision needs data? We start there, not with the tools.

2

Wire the data

Pull the sources together into one trustworthy model.

3

Design the view

Dashboard or in-product — clear, honest, and easy to read.

4

Enable self-serve

Your team answers its own questions from then on.

Proof

Real data products, shipped.

A few analytics and data systems I owned in production.

NPAW · analytics SaaS
Billions / day

Sole PM for the flagship analytics products processing billions of streaming events daily.

NPAW · dashboard rebuild
80% adoption

Modular dashboard UI from a 450-ticket backlog — 200 closed in a week, 80% voluntary adoption in 4 weeks.

SPI · data culture
Org-wide self-serve

Built a cloud data lake + Metabase so non-technical teams could answer their own questions.

SPI · churn insight
25% → 7%

Granular churn analysis surfaced a 10-minute drop-off; the redesign it drove cut it from 25% to 7%.

Let's talk

Work with me.

Tell me what you're trying to measure or decide. I'll reply with whether I can help and what the first step looks like.

or email me directly at hi@onurovali.me