Decisions on facts, not gut feel

One organized home for all your numbers, the difference between 'I think' and 'I know'.

• A warehouse that grows with you (BigQuery, Snowflake)

  A central home for your data that handles anything from a startup's first reports to billions of records, where you pay for what you use rather than for idle machines, and where the finance team's month-end crunch can't slow anyone else's dashboard.

• Sometimes a simple database is enough

  Not every business needs a cloud warehouse. Where volumes are moderate, a well-tuned standard database (PostgreSQL) delivers the same answers for a small fraction of the cost, and we'll say so rather than sell you a bigger platform.

• Every number's origin, traceable

  Every figure on every dashboard can be traced back to the exact source it came from, step by step. 'Where does this number come from?' is answered by clicking, not by finding whoever built the report.

• Pipelines that tell us when they fail

  The overnight data loads retry themselves, catch up after an outage, and raise an alert when a source system fails to deliver, so we learn about a missing load at 6 a.m., not from a director noticing a flat chart at 11.

• Connected to every system you run

  Reliable feeds from your CRM, accounting package, online store, ad accounts, and support desk: pulling only what's changed, and coping gracefully when one of those systems renames a field.

• Live data only where it's worth it

  Most decisions are fine with data refreshed hourly or nightly; a few (fraud, live stock during a sale) need it in seconds. Real-time costs meaningfully more, so we recommend it only where the decision genuinely can't wait.

• Metrics with one agreed meaning

  One definition per metric, documented with an owner, reused by every tool. It's the single highest-leverage piece of data work, because it's what makes the numbers trustworthy enough to act on.

Beyond charts: models that forecast demand, flag anomalies, and let you ask questions of your data in plain English.

• Forecasts with honest confidence levels

  Demand, revenue, and cash-flow projections that account for seasonality, holidays, and promotions, shown as a realistic range, not a single misleading number. We test them against your own history first and tell you how accurate they are.

• Alerts when a number goes strange

  Automatic flags when a metric leaves its normal range, tuned to your history so an ordinary Monday peak doesn't page anyone. Alerts go to the person who can act, with the relevant chart attached.

• Ask your data questions in plain English

  Staff type a question and get back a chart, always consistent with the official metric definitions, and always showing its working, so the system stays checkable rather than mysterious.

• Broken numbers caught before the board sees them

  Automatic checks on every data load: is it fresh, complete, and within sensible ranges? A broken figure is caught and quarantined before it reaches a board pack, because that failure costs credibility, not just money.

• Know what a customer is really worth

  Which customers stay, which channels bring the ones who do, and what a customer is worth over their lifetime. The analysis that changes where the marketing budget goes.

• Insight without exposing personal data

  Personal details are minimised or anonymised for analysis, access is restricted row by row, deletion schedules run automatically, and every query is logged. Analysts get the insight without unnecessary access to identifiable people.

• Training so the dashboards get used

  Hands-on sessions with the people who'll use the dashboards, plus plain-language documentation of every metric. A reporting platform nobody was trained on is shelfware, so adoption is part of the deliverable, not your problem afterwards.