Data Governance In Action

Discover the long-term benefits of proper Data Governance for data-driven organizations 

Data Governance is a crucial component of Data Management that focuses on establishing and enforcing policies, procedures, and standards that govern an organization's data.

With data governance, companies manage the availability, usability, integrity, and security of their data throughout its lifecycle. This way, they guarantee that the data is accurate, reliable, and compliant. Data Governance is implemented via a Data Governance Framework that is unique to each enterprise and which maximizes operational processes and facilitates compliance with laws and regulations.

Decision-makers must ensure that data governance is applied to all IT systems, involves all stakeholders, and that governance keeps up with the scaling speed of the business in order to not become a bottleneck.

Ideally, a data governance framework like Governance Shift Left should be implemented in order to guarantee quality data that can correctly inform data-driven business decisions.

Governance Maturity is crucial for an organization that wants to excel in its data activities. You can check your maturity level by taking our Data Governance Maturity Assessment. Click the button below!


Your Go-To Guide for Computational Policies


Cover Computational Policy 1410 x 2000 px



Summary_White Paper_Journey Into the Lifecycle of a Computational Policy



Contents_White Paper_Journey Into the Lifecycle of a Computational Policy



Intro_White Paper_Journey Into the Lifecycle of a Computational Policy



Chapter 2_White Paper_Journey Into the Lifecycle of a Computational Policy



Chapter 3_White Paper_Journey Into the Lifecycle of a Computational Policy


Chapter 4__White Paper_Journey Into the Lifecycle of a Computational Policy



Governance Policies are always back of mind for many organizations. It's not that they don't want to impose them or know their benefits... It's just that there's so little time left to ensure that all data is compliant with these policies.

So much to do leaves stakeholders with a set of problems:

Data and metadata are out of sync

Data stewards are not aligned with the process and with domain experts and data engineers

Handoff in knowledge-intensive tasks is becoming more and more error-prone

Data stewards have to fix debt and struggle to engage business people after the project closes

All of this can be fixed by making data governance policies computational (code)

Data Governance Shift Left

A Novel Way to Optimize Your Governance

Governance Shift Left is our progressive approach to data governance that addresses the challenges posed by the ever-expanding volume of data and aims to rectify the disconnect between data governance and data management.
Governance Shift Left is based on four pillars:

Metadata as Code - Metadata, code, and data should follow the same lifecycle and align with the code lifecycle, as they are all part of the business value.

You Build it, You Govern it - The Data Engineering team is becoming accountable for respecting and complying with governance pillars by adopting the policies.

Not just Guidelines - Governance policies are no longer mere guidelines, being automatically enforced through code.

Context-Aware - Governance policies should be documented, accessible, and self-explanatory.


Witboost is an award-winning Data Governance Solution

Computational policies, guardrails, quality gates... these are all concepts we've explored throughout our 10-year experience in Data Governance.

2023_data governance award_top 10 solution provider

It's been put together into Witboost, the ultimate platform that automates your Data Governance. Connect and configure your governance across your entire tech stack.

Witboost has been created with automation in mind, designed for organizations to scale their data governance together with their data and business. It's been recognized as one of the top 10 Data Governance solutions in 2023.