Guides to working with data.

• How to find out what changed in your sales data

  A step-by-step way to work out when a number moved, which part of the business moved it, and whether it is worth acting on.

  2 min read

• Real change or random noise? A plain guide to reading your numbers

  Why every business number wobbles, how to tell a meaningful move from the usual wobble, and the five mistakes that produce false alarms.

  2 min read

• Where to find free public data, and how to check it before you trust it

  The main places public data lives, the checks to make before using it, and the traps that quietly spoil an analysis.

  2 min read

• How to clean a messy CSV before you analyse it

  A checklist for the problems that break spreadsheets and charts: stray header rows, decimal commas, ambiguous dates, hidden totals and more.

  2 min read

• How to forecast next quarter’s numbers without fooling yourself

  A forecast is only worth having if it has been tested against the past. How to build a baseline, test methods, read a range and know when to say no.

  2 min read

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