DataOps is an enterprise collaboration framework that aligns data-management objectives with data-consumption ideals to maximize data-derived value. DataOps “explodes” the information supply chain to create a data production line optimized for efficiency, speed, and monetization.
Borrowing from production optimization models and DevOps theory, DataOps’ successful adoption requires adherence to three key principles:
- Global Enterprise Data View: Define data journeys from source to action to value delivered, and measure performance across the entire system.
- Collaborative Thinking: Structure organizational behavior around the ideal data-journey model to maximize data-derived value and foster collaboration between data managers and data consumers.
- Get in Front of Data: Decentralize, then empower self-service data services and analytics throughout the organization.
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