What Are Data Silos?
A data silo is a system that holds information the rest of the business needs but cannot easily reach. Silos are rarely anyone’s mistake. Each tool was bought to do one job well, and nobody planned how they would share.
The cost shows up as copying. Someone exports from one system, pastes into another, and hopes the two stay in step.
Where Do Silos Show Up in a Growing Company?
| Where the fact lives | What the business needs from it |
|---|---|
| The CRM | Who the customers are, what is in the pipeline, and what was promised |
| The accounting system | What was invoiced, what was paid, and what each customer is worth |
| The ERP or operations system | Orders, projects, inventory, and what was delivered |
| Inboxes and calendars | What a customer asked for and agreed to last |
| Spreadsheets | The forecast and the monthly report leadership actually reads |
The most expensive silo is usually the gap between where the work happens and where it gets recorded. A customer’s request sits in one person’s inbox, an order changes in the ERP, and the Monday report knows about neither.
Every industry has its own version. At a managed service provider, for example, deals live in the CRM while tickets, agreements, and billing live in the PSA, so sales and the service desk each see half of every client.
Why Do Silos Get Worse as a Company Grows?
Each new team buys the tool that fits its job. Every tool adds another place a fact can live and another export someone runs before the leadership meeting. Headcount grows faster than anyone’s time to keep the systems in step, so the copying falls behind first.
How Do You Close a Silo Without Replacing Systems?
Give each fact one home, which is the idea behind a single source of truth. Then move information between systems automatically instead of by hand. You keep the systems that work, and you stop being the integration between them.
How Go Fig Helps
Go Fig closes silos with Data and AI services built on its own platform. A solutions engineer pulls your CRM, accounting system, inbox, and the other systems you run into one private data foundation, with pipelines that keep it current and trace every number to its source.
Reporting and dashboards sit on top, and Celeste, Go Fig’s AI analyst, answers questions across all of it. AI agents then act inside those systems, like drafting the follow-up or updating the record, with a person approving each step. Nothing gets ripped out. See Data and AI services.