Strategy
Analytics and Reporting is a Mess…
August 11, 2025 · 5 min read
Most sales organisations have analytics spread across multiple disconnected tools. Here's a 10-step framework to fix it.
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Every AI tool, every analytics dashboard, and every automation workflow depends on one thing: clean, connected data. Without a solid data foundation, even the most advanced tools will fail to deliver results.
Define Your Data Strategy First
Before choosing tools, define what data you need, where it lives today, how it will flow between systems, and who owns data quality. A clear strategy prevents expensive rework later.
Map Your Data Sources
Audit every system that generates or stores customer and sales data: CRM, ERP, marketing platforms, web analytics, support tools. Understand what data exists, in what format, and how current it is.
Choose the Right Integration Approach
Point-to-point integrations are fragile at scale. Consider a central data warehouse (Snowflake, BigQuery) or an integration platform (Informatica, Fivetran) to create a single source of truth.
Prioritise Data Quality Over Data Volume
More data is not always better. Focus on ensuring the data you collect is accurate, complete, and consistent. A small dataset with 95% accuracy outperforms a large dataset with 70% accuracy every time.
Build for GDPR Compliance from Day One
Data collection and integration must respect privacy regulations. Implement consent management, data residency controls, and clear retention policies before you scale your data infrastructure.
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