Guide
Business intelligence and reporting: turning your data into decisions
Most businesses are sitting on the data they need to make better decisions — it's just trapped in separate tools and exported to spreadsheets once a month. Business intelligence is simply the practice of pulling that data together into reports and dashboards you actually look at. Here's how to approach it without overbuilding.
By Miguel Alejandro Hayes· Founder, Hayes Projects· with Claude (AI)
What BI actually means for a smaller business
Forget the enterprise jargon. For most companies, BI means one thing: the numbers that run your business — revenue, margin, pipeline, inventory, cash — visible in one place, updated automatically, instead of stitched together by hand in a spreadsheet each month.
The value isn't fancy charts. It's making decisions on current data instead of last month's, and stopping the manual export-and-reconcile ritual that eats hours.
Off-the-shelf vs. custom dashboards
Start with what you have: many tools (your accounting software, CRM, store) ship built-in reports, and BI tools like Looker Studio or Power BI can connect common sources cheaply. Use those when your questions are standard.
A custom dashboard pays off when your key metric spans several systems that don't natively combine, when your business logic is specific (custom KPIs, blended margins), or when you need it live for the whole team. Then a small custom layer pulls from each source via API and shows your real numbers, your way.
How to start without overbuilding
Don't try to dashboard everything. List the three to five numbers you'd check every morning if they were one click away. Get exactly those live first — that's 80% of the value for a fraction of the effort — then expand once you see which decisions the data actually changes.
Reporting that nobody opens is wasted. Build for the decisions you make, not for the sake of charts.
An honest note: I wrote this with AI’s help. I used it to organize the research and tighten the prose, then reviewed, corrected and signed off on every line myself. Which is, more or less, the whole point: AI speeds up the draft — the judgment and the responsibility stay mine.
Frequently asked
Do I need expensive BI software?
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Often no. Built-in reports and tools like Looker Studio or Power BI cover standard questions cheaply. Custom is worth it when your key metrics span systems that don't combine natively, or your logic is specific.
What's the fastest way to get useful reporting?
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Pick the three to five numbers you'd want at a glance every day and get exactly those live first — usually by connecting your existing tools. Expand only once you see which decisions the data changes.
About the author
Miguel Alejandro Hayes — Founder, Hayes Projects
Economist and essayist turned developer. He founded Hayes Projects, a Miami venture studio and custom software lab, to build software that ships, scales and solves real problems.
Meet the founder→Co-author (AI)
Claude — Anthropic’s AI assistant
Anthropic’s AI model. It helped organize the research, structure the draft and tighten the prose. Every claim was verified and signed off by a human.
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