One screen that pulls the numbers from every tool you run and shows what actually matters — live, so decisions stop waiting on a report someone assembles by hand.
Sales in the CRM, cash in accounting, ops in a spreadsheet. Nobody sees the whole picture without opening five tabs.
Someone spends hours every week copying figures into a deck, and by the time leadership reads it, it describes last week.
The dashboard your SaaS gives you is close, but not your numbers, not real time, and not the metric you actually run on.
You pull data out of the systems just to combine and analyze it, so the answer is always one manual step away.
Direct connections to your databases and APIs with sensible caching, so the number on screen is the number right now, not last night’s export.
Illustrative mockups — every build is shaped around how you work.
We agree on the handful of numbers that actually drive decisions, and where they live today.
I connect the first data sources and ship a working dashboard in weeks, so you are looking at real numbers early.
You use it, we see which views matter and which do not, and it grows around how you actually run the business.
Use them when they fit; they are excellent and cheap. Custom wins when your key metric spans tools that do not connect, when you have outgrown per-seat pricing, or when you need your exact definitions, branding and access rules. Sometimes I build the data pipeline and let a BI tool draw the charts.
It depends on how many data sources and how live it needs to be, but a focused first dashboard is usually a few weeks of work at a fixed price. You see real numbers before committing to more. I never improvise figures on a call.
Wherever it lives: your database, your CRM, accounting, payment processors, spreadsheets, third-party APIs. Part of the work is connecting those cleanly so the dashboard runs on numbers you trust.
Yes, where it makes sense. Some numbers are worth live; others are fine refreshed hourly or nightly. We match the freshness to the decision, so you are not paying for real-time you do not need.
Often. I start by auditing the data sources and what is slow or wrong, then fix the foundation before adding new views.