Who controls your intelligence analysis platform?

Dan Newland contrasts vendor-led and customer-led approaches to intelligence analysis platforms, arguing that each determines whether long-term knowledge, operational capability, and control remain with a provider or develop within the customer organization. Vendor-led implementations can accelerate complex initial deployments by supplying technology and expertise, but may create growing dependency as expanding data sources, workflows, and use cases require vendor intervention. Customer-led models involve internal data, IT, and analysis teams from the outset, allowing them to understand and adapt the platform as intelligence needs, threats, and priorities change. The article suggests organizations assess ownership by asking whether their teams could modify the system for new use cases, understand its data models and workflows without its original builders, and migrate the accumulated intelligence capability rather than only its raw data. It presents GraphAware Hume, built for Neo4j, as an open, modular platform intended to help customers retain ownership of their data, models, pipelines, workflows, and technical knowledge while receiving implementation support.

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