The End of the Divided Stack: Why Government Must Unify Data
Government agencies today have more data than ever from legacy systems to new digital sources. But having lots of data doesn’t mean you’re able to use it effectively. In many organizations, data exists in separate systems that don’t talk to each other, creating what experts call a divided stack, and it’s slowing progress.
This week’s Trading Post resource invites you to rethink how data is managed across government workflows. Instead of maintaining siloed data warehouses and separate environments for advanced analytics, high-impact agencies are moving toward unified data platforms that eliminate waste, reduce complexity, and unlock real value.
Here’s what you’ll discover:
-
Why fragmented data systems hold agencies back and how this “two-system trap” drains time, budget, and insight.
-
What a unified stack looks like in practice one platform, one source of truth, one consistent governance model.
-
Concrete questions to guide your next steps from tracing data lineage to measuring duplication overhead.
This isn’t a call for expensive rip-and-replace projects. It’s about architectural clarity and unlocking impact by enabling teams to work on the same, governed data in real time.
👉 Read the full resource on the Trading Post:
https://redleif.io/the-end-of-the-divided-stack-why-govt-must-unify-data-to-adopt-ai/
|