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Business: from spreadsheets to a real CRM without losing data

A migration pattern: audit existing customer data, select an appropriate system, clean and migrate data, train users, and measure adoption to ensure the investment delivers value.

ContactSectors
21 February 2026
1

Context and constraints

  • Customer data was spread across multiple spreadsheets, email folders, and personal notebooks with no single source of truth.
  • The sales team resisted previous CRM attempts because the tools were too complex for their workflow.
  • Data quality was poor: duplicate contacts, missing fields, and outdated information across all sources.
2

Approach pattern

  • Audited all existing data sources and mapped fields to a clean, agreed schema before selecting a tool.
  • Chose a CRM that matched the team's technical comfort level and integrated with their existing email and calendar.
  • Migrated data in stages: cleaned and deduplicated first, imported core records, then layered in historical activity.
3

Operational handover

  • Ran hands-on training sessions focused on daily workflows: logging calls, tracking deals, and generating reports.
  • Created quick-reference guides and short video walkthroughs for common tasks.
  • Measured adoption weekly for the first month and addressed friction points immediately to prevent reversion to spreadsheets.

Related services

Common building blocks for this pattern.

ERP systems

Outcome-focused delivery with documentation and enablement.

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Internal tools & dashboards

Outcome-focused delivery with documentation and enablement.

View serviceAsk about fit

Workflow automation

Outcome-focused delivery with documentation and enablement.

View serviceAsk about fit
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