Data Monetization

Why Top Performers Earn 11% of Revenue from Data — and Most Companies Earn None

McKinsey's research is unambiguous: top-performing organizations now attribute 11% of their revenue to data monetization — five times more than their lower-performing peers. Roughly 40% of business leaders plan to launch data, analytics, or AI businesses in the next five years, the highest of any new-business category. And yet Forrester estimates that 60-73% of all enterprise data still goes unused for analytics. The gap isn't ambition. It isn't infrastructure. It's the four-to-six months of strategy, pricing, ICP, GTM, and competitive work between 'we have valuable data' and 'a buyer is paying us for it.' This is what most data monetization efforts get wrong — and the new on-ramp that compresses the timeline from months to days.

Agentic Analytics Are Here: Why Your AI Agents Still Can't Answer Real Business Questions

Google Trends tells the story: search interest in 'agentic AI' went from near-zero to breakout status in under twelve months. But here's the uncomfortable reality: your AI agents can't answer real business questions. They can write emails and summarize meetings, but they can't tell you which customer segment is churning or how Q4 margins compare to Q3. The problem isn't intelligence. It's plumbing. SparteraConnect fixes this with discrete, pre-built analytics objects served through managed MCP servers, not fragile NL2SQL. Full usage lineage, insight caching, and dual-mode deployment for both internal intelligence and external monetization.