Data Silo Definition
A data silo is a collection of data that one team, department, or system holds and that the rest of the organization cannot easily access or use. The name comes from farm silos, which store grain in separate, closed containers. When data sits in silos, different parts of a business end up working from different versions of the same information, often without knowing it.
How do data silos form?
Data silos usually grow gradually, without anyone deciding to create them:
- Separate systems chosen by different departments, such as an ERP for operations, a CMS for the website, and spreadsheets for marketing, that were never connected to each other
- Team ownership, where each department maintains its own data with its own formats, naming, and update routines
- Growth and acquisitions, which add new brands, markets, or systems that run alongside the existing ones
- Workarounds, such as exporting data to a spreadsheet to edit it, which creates copies that nobody else sees or updates
What problems do data silos cause?
When the same information is stored in several places, the copies drift apart. A product team might update a product's dimensions in a spreadsheet, but the change never reaches the online store, so customers see the old measurements. The same product can end up with one description on the website, a different weight in the ERP, and outdated specifications on a marketplace.
This leads to errors that customers notice, duplicate work as teams enter the same data more than once, and slower product launches while teams search for the correct version. It also makes reporting and compliance harder, because information needed for regulations or audits is scattered across systems.
How can data silos be removed?
The goal is not to replace every system, but to agree on where each type of data is maintained and to connect systems so data flows between them automatically. This creates a single source of truth: one trusted place for each piece of information, which other systems read from instead of keeping their own copies.
For product data, this role is often taken by a Product Information Management (PIM) system. It collects product information from the ERP, suppliers, spreadsheets, and media libraries into one place, where teams complete and check it before it is sent to the online store, marketplaces, and print catalogs. Other systems keep their own jobs, such as the ERP managing stock and prices, but product information is maintained once and shared everywhere.
