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Why the spreadsheet is the real B2B data workbench, what manual work costs there, and why enrichment belongs in the sheet.

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Spreadsheet as a B2B Data Workbench 2026 report by Derrick

What this guide contains

  • The spreadsheet as the default B2B data workbench
  • Why app sprawl makes data reconverge in the sheet
  • The manual data-prep tax: 60-90 min/day per person
  • A 4-level spreadsheet data-maturity model

What you'll learn

  • Where your team really works its data
  • How much manual data work actually costs
  • Why shared sheets drift and go stale
  • Why enrichment belongs in the sheet, not outside it

Who it's for

  • RevOps and sales ops living in spreadsheets
  • Sales and marketing teams prepping lists
  • Data teams fighting tool sprawl
  • Anyone cleaning B2B data by hand