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 ...

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

Implementing AI governance helps you learn what your business needs. Every business has constraints, like legal obligations, ...

Environmental, social, and governance (ESG) investing refers to a set of standards that socially conscious investors use to ...

Keeping your data house in order on a daily basis may be no easy feat, especially in today’s digital world, but it has significant downstream impacts on the cost and efficiency with which data ...

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

At its core, data governance aims to ensure that data is managed throughout its lifecycle, from acquisition to consumption.

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.

Key to the success of any large organization is effective governance of a vast, distributed landscape of data stores. AI can help.

Aaron Cutshall, enterprise data architect, Healthfirst, Inc., and Niraj Vora, lead sales engineer, Fivetran, joined the annual Data Summit session, 'Moving to a Modern Data Architecture,' to examine ...