This is the Electy Review. Today, why your product datasheets are full of wrong data. The problem with product datasheets isn't the template, it's the data that feeds the template. Most companies treat the datasheet as a form to fill out. They should treat it as the final output of a data governance process. Here is what that looks like in practice. One client shared by the Electe team had a catalog of 340 product listings. They were spending an average of 45 minutes per data sheet just to gather up-to-date data from different sources. Once that data was standardized and analyzed, the same process dropped to less than 10 minutes. The document didn't write itself. The team just stopped checking whether their enterprise resource planning system, their customer relationship management system, and their local files contradicted each other. The root cause is structural. The same product gets described differently across the ERP, the CRM, Excel spreadsheets, and shared folders. Fields share the same name but mean different things. Weight could be net weight, gross weight, or shipping weight. No one owns the data. Manual updates get applied to one system and missed in the others. The PDF outlives the data it contains. The contrarian point here is worth saying plainly. If three departments are validating the same field at different times, the problem isn't quality control. It's that the data isn't governed. A better template solves nothing. Electi's position is equally direct. Its platform doesn't generate the data sheet for you. It standardizes, analyzes, and verifies the source data before anyone starts filling out the document. The shift in the daily workflow is this the product manager stops chasing numbers across systems and refers to a single consolidated view instead. The right question to ask isn't who has the latest version? It's has the data already been validated? That's the review.