Your business is generating data constantly. But if it lives in spreadsheets, disconnected tools, and manual exports — it's not driving decisions. I build live dashboards your team actually opens every morning.
Sound familiar?
Manual data consolidation is a single point of failure. One missed update, one formula error, one person on holiday — and your leadership team is making decisions on stale or wrong numbers.
Your CRM says one thing, your finance tool says another, your ops platform has its own view. No one has connected the dots — so every meeting starts with 20 minutes of data reconciliation.
Weekly reporting is too slow for most business decisions. If you find out on Friday that Monday's campaign underperformed, you've already spent 5 days of budget on the wrong thing.
This is the most common waste in data teams. Automated pipelines and live dashboards flip that ratio — your analyst focuses on insight, not on being a human ETL process.
Unused dashboards are almost always a design problem, not a data problem. I interview the people who'll actually use it before building anything — and design around their real decisions, not abstract KPIs.
Last-click attribution is lying to you. Multi-touch models that trace the full customer journey — connected to your actual revenue data — show you where to double down and what to cut.
How I solve it
The best dashboards aren't built from data up — they're built from decisions down. I start by understanding what choices your team makes daily, then reverse-engineer the data and visualisation that enables those choices.
I map every data source — CRM, finance, ops, marketing — identify where they connect (or conflict), and establish a single source of truth before any dashboard is designed.
What questions do they ask every morning? What slows meetings down? What data do they currently trust — and what do they ignore? Dashboard design starts here, not in Figma.
ETL pipelines that refresh your data on schedule — hourly, daily, or in real time. No more Monday morning manual exports. No more "that number looks wrong."
Delivery includes a live walkthrough with the people who'll use it — so they trust it, use it, and can maintain it themselves. Adoption is part of the deliverable.
Wavess.io's team was doing competitive intelligence manually — tracking competitor pricing, content, and positioning across dozens of sources every week. It took 3+ hours every cycle, involved 4 different people, and the output was a static slide deck that was outdated by the time it reached leadership.
I built an automated pipeline that scraped, normalised, and surfaced competitor signals in a live dashboard. Leadership could now see competitive movements in real time, filter by category, and drill into specific signals — instead of waiting for the weekly deck.
What's included
I connect to every data source you have — CRM, finance, ops, marketing, databases — and establish clean, consistent definitions before building anything.
Scheduled data pipelines that extract, clean, and load your data on the cadence your business needs — hourly, daily, or near real-time.
Designed around your actual decision workflow — not a template. Built in Power BI, Tableau, Looker, or a custom Streamlit app, depending on what fits your stack.
Automated Slack or email alerts when KPIs move outside expected ranges — so you know before your customers do when something is wrong.
Every metric defined, every pipeline documented. Your team can maintain and extend the dashboard without needing to call me 6 months later.
A live walkthrough with your team so they understand what they're looking at, trust the numbers, and actually use the dashboard in their daily workflow.
Book a free discovery call — I'll audit your current data setup and scope the highest-impact dashboard for your specific business.