Our Berlin CRM development follows a methodology for German business requirements: (1) Requirements and strategy (weeks 1-2): understanding CRM needs. Process mapping: documenting current sales, marketing, and service processes — identifying pain points and automation opportunities. Data audit: cataloguing current customer data — sources, quality, duplicates, and GDPR compliance status. German: understanding German-specific requirements — DSGVO compliance, German business system integration, and German communication patterns. Platform: recommending CRM platform — Salesforce (enterprise, maximum flexibility), HubSpot (mid-market, ease of use), custom (unique requirements), or Attio (modern, startup-friendly). (2) Design and architecture (weeks 2-3): designing the CRM solution. Data model: designing the CRM data model — objects, fields, relationships, and record types. GDPR: privacy-by-design — consent fields, legal basis tracking, retention policies, and deletion workflows built into the data model from the start. Integration: designing integration architecture — SAP, DATEV, email, marketing automation, and German-specific systems. Workflow: designing sales, marketing, and service workflows — automation rules, approval processes, and notification logic. German: German-specific design — Anrede (formal address Mr/Mrs), Datenschutzbeauftragter approval workflows, and Handelsregister (commercial register) data integration. (3) Development (weeks 3-6): building the CRM. Configuration: platform configuration — custom objects, fields, page layouts, and record types. Automation: workflow automation — lead routing, opportunity stage progression, task creation, and email triggers. Integration: building integrations — SAP (customer, order, financial data), DATEV (invoicing), email (Microsoft 365 or Google), and marketing (Mailchimp, Klaviyo, or HubSpot Marketing). Custom: custom development where needed — Salesforce Apex/LWC, HubSpot custom objects/workflows, or custom application code. GDPR: implementing GDPR features — consent management, data access request handling, and automated data retention. Reporting: building dashboards and reports — pipeline, activity, forecast, and performance reporting. (4) Migration (weeks 5-7): transferring data. Data cleaning: cleaning existing customer data — deduplication, normalisation, and enrichment. GDPR review: reviewing migrated data for GDPR compliance — removing data without legal basis, checking consent records, and applying retention policies. Migration: structured data migration — contacts, companies, deals, activities, and documents transferred with data integrity verification. German: migrating German-specific data — Anrede, Geschlecht, and formal/informal communication preferences. (5) Training and adoption (weeks 6-8): ensuring usage. Training: role-based training — sales teams, marketing, service, and management each receiving relevant training. German: training materials in German — CRM being used daily, so training in the team's working language. Adoption: adoption monitoring and support — tracking login rates, data entry completeness, and feature usage. Optimisation: 30-60-90 day optimisation cycle — refining based on actual usage patterns.