Data Silo
A collection of data held by one team, system or application that other parts of the organization cannot easily access or combine.
When marketing, sales, finance and support each keep their own numbers, leaders get conflicting reports on pipeline, revenue and churn, and teams spend hours reconciling spreadsheets instead of acting on one shared view.
A company finds that its ad platform, CRM and billing system each count customers differently. It loads all three into a warehouse nightly, matches records on company domain, and publishes one revenue dashboard from the joined tables.
Removing silos is not only a tooling task: ownership disputes, inconsistent definitions and legal limits on sharing personal data often keep data apart after integration. Some separation, such as for security or regional data residency, is intentional.
Silos form when departments buy their own tools, when legacy systems lack APIs, when there is no Data Governance defining shared rules and owners, or after mergers bring incompatible databases. Symptoms include duplicate and conflicting records, manual exports and reports that disagree. Remedies combine System Integration through APIs or pipelines, a central warehouse or Customer Data Platform (CDP), shared identifiers and agreed metric definitions.
Revenue Operations, Systems Architecture
IBM — What are data silos? — https://www.ibm.com/think/topics/data-silos; AWS — What are Data Silos? — https://aws.amazon.com/what-is/data-silos/
