Post by Spartera

The average enterprise data purchase now takes 6.5 months and 13 stakeholders. The query it was bought to answer took 10 minutes to write. That gap is where good analysis goes to die. Our CEO spent years on the other side of this — watching sharp data scientists lose entire quarters to a process that looks like this: Procurement queue → RFP to 5 vendors → NDAs before samples → sample ping-pong ("wrong fields" / "schema changed?") → 300-question due diligence → 6 rounds of legal redlines → price negotiation → budget re-approval because a new fiscal year started mid-deal. And the finish line? The vendor dumps files in a cloud bucket. The data scientist still has to find, transfer, and load it all. 86% of these deals stall at least once along the way. Nobody in that chain is doing anything wrong. The process is just built for a world where data was a rare, bespoke purchase. It isn't anymore. So we built the marketplace version: 18,000+ data and analytics products, already listed and priced. Pull on demand. Pay per pull. The query runs at the seller's source — results come back in minutes. Watch both paths run side by side below. The top half will look painfully familiar to anyone who's ever bought data the old way. 🔗 marketplace.spartera.com #DataScience #DataMarketplace #Analytics #DaaS

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