The Indie Founder Internal Data Dashboard Playbook

Export and clean all your business data sources

Pull CSV exports from every source you track: Stripe revenue, Google Analytics, your email platform, and any ad accounts. Run each file through MessyData to standardise column names, date formats, and numeric fields. Save cleaned files to a single local folder.

Load large datasets into your local analytics engine

Import your cleaned CSVs into OrcaSheets to handle any files too large for spreadsheets. Use it to pre-aggregate metrics like monthly recurring revenue, churn rate, and traffic by channel. Export the aggregated summary tables for use in your dashboard.

Build plain-English SQL dashboards from your clean data

Point Eatmydata.ai at your cleaned and aggregated local files. Ask questions like 'What is my MRR trend over the last six months?' and 'Which traffic source has the highest conversion rate?' Build and save five core dashboards covering revenue, growth, and costs.

Set up a unified search and dashboard workspace

Import your key data tables and business docs into Valuepulse to create a single workspace. Use it to answer ad-hoc questions that span multiple sources — for example, combining support ticket volume with churn data — and share dashboard links with any advisors or investors.

Schedule a weekly business intelligence email report

Configure Cogveo to run a Python script every Monday at 7am that reads your latest cleaned data files, calculates seven key metrics, and emails a plain-English summary with trend arrows to your inbox. Set it and forget it — your weekly briefing arrives automatically.