One way to think of data governance is like the brakes on a car. Brakes aren’t there so you can drive slow. Brakes actually help you drive fast, safely. But top-down data governance is like driving with the parking brake on – you can’t get up to speed, and there’s a lot of friction when you try.
This friction can be attributed to the cumbersome processes – or road blocks – required for accessing data. Submitting TPS reports, emailing stewards, and queuing for data access are time-consuming activities at best, and often unnecessary given the proliferation of modern data catalogs that automate many of these processes.
Data governance should help accelerate safe access to data, not hinder it.
Why Agile Data Governance is different – and better
Unlike top-down data governance strategies that seek to control and parametrize every aspect of data access, Agile Data Governance empowers all stakeholders to participate in an inclusive denmark whatsapp number data data and analytics process, aiming to increase productivity in a safe, consistent, and auditable way.
It adapts the best practices of Agile and Open software development to data and analytics, iteratively capturing knowledge as data producers and consumers work together so everyone can benefit.
Today organizations and agencies in nearly every industry are adopting Agile Data Governance practices to drive faster and more accurate business insights, reduce redundant and inefficient work, increase reuse of data products, and build thriving data cultures. It is also being leveraged by practitioners of data mesh, who view it as the right framework for domain-driven governance and data-as-a product.
How to implement Agile Data Governance in your organization
While that all sounds great in theory, what does it look like in practice? And how do you implement Agile Data Governance in the enterprise?