Overview
Developed a data operations strategy for a professional association to improve member and non-member insights and enable more effective marketing investment decisions. Designed a secure, privacy-compliant data architecture connecting CRM, web analytics and event systems, and implemented data governance processes aligned to GDPR obligations.
Who This Is For
Professional associations, membership organisations, industry bodies, or B2B platforms with 50,000-500,000+ members. Managing member data across multiple systems - CRM, website, event management, email platforms - but lacking a coherent data strategy or the analytical capability to use member insights to drive marketing decisions.
The Challenge
The organisation holds significant data about its members but that data lives in disconnected systems. CRM, website analytics, email platforms, and event tools do not share a common data model. Member segments are defined manually. Campaigns are sent to broad lists rather than targeted audiences. Privacy compliance is inconsistently applied.
What We Propose
Data Landscape Audit - Inventory of all data sources, systems, and flows identifying gaps, overlaps, and compliance exposures. Data Architecture Design - Secure, privacy-compliant architecture connecting CRM, analytics, event, and content systems. Segmentation & Audience Design - Member segmentation framework enabling targeted communications based on behaviour and lifecycle stage. Governance & Privacy Framework - Data governance processes, consent management, and retention policies aligned to GDPR.
Why It Matters
Insight-driven decisions - Marketing and engagement decisions made on evidence, not assumptions. Compliance confidence - Data architecture and governance that are demonstrably GDPR-compliant. Targeted communications - Segments and personalisation that improve relevance and reduce list fatigue.
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