Data Governance Goals The primary aim of data and analytics (D&A) governance, our research has taught us, is aligning data ...

Measurement & Analytics - Organizations that have high confidence in their data are more likely to monitor data consistency, ...

The goal of data governance is to ensure your organization’s data is business-ready: high-quality, accessible, secure, and ...

Structure / Organizations – CDOs will explore new models of organization structures and models for Data Governance, with new roles staffing the organization chart.

Data governance sets clear standards for data processing across your organization. This guide will help you understand what makes for good data governance.

Without proper data management, information can become unwieldy and unusable, compromising insights and threatening operational efficiency and business performance.

So, what Is Data Governance? Data governance represents “a set of processes, policies and practices that ensure an organization’s structured data is regulation-compliant throughout its lifecycle by ...

Learn the differences between effective data quality and data governance practices and how to integrate them to enhance your data strategy.

Optimal data governance has several potential impacts on maintaining and continually improving an organization's customer experience.

As healthcare data grows more complex and cyber threats become more severe, the need for strong data governance and cohesive, system-wide analytics strategies has never been greater. Yet even ...

Generative AI introduces new risks, challenges, and opportunities for how organizations source and use data. Here are four ways data governance teams are rising to the occasion.

The MetroLab Network has announced the release of its new Model Data Governance Policy & Practice Guide for Cities and Counties, aiming to support data governance initiatives at the local level.