Data silos are absolutely common across millions of org because nobody knows what data is getting gathered (or how to put it to good use).
We’re practically surrounded by data points.
Doesn’t mean we need most of it (room temperature or humidity, average speed of cars passing by on the street, lunar cycles – thousands of random data points).
Mid-market companies we work with often run 50+ systems, track data in GA/GTM, additional analytics systems, CRMs/ERPs, heatmap/CRO solutions, Google Workspace usage reports, paid ads, conversion rates and clickthrough rates, organic performance, social growth.
Legal dives into compliance, PII, and regulatory frameworks.
CFOs review various metrics to assess budgets and allocate quarterly expenditures.
IT traditionally hosts this data (with specific pipelines missing in the first place) with no exposure to leadership teams, CROs, fractional advisors, AI training teams, PE firms, or operating partners.
Any operational efficiency is doomed to fail when context is vague or missing. Unique business data is how context is built, and accurate decisions are made.
