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  1. Designing data governance that delivers value | McKinsey

    Jun 26, 2020 · For example, a leading global retailer, whose data governance was managed within IT, struggled to capture value from data for years. Then, as part of an enterprise-wide …

  2. For example, a leading global retailer, whose data governance was managed within IT, struggled to capture value from data for years. Then, as part of an enterprise-wide analytics …

  3. The gen AI operating model: A leader's guide | McKinsey

    Sep 12, 2024 · We present a practical guide data leaders can use to create a gen AI operating model, including how to structure talent teams, organize data assets, and determine whether a …

  4. Elevating master data management in an organization | McKinsey

    May 15, 2024 · Data governance models for MDM should be designed with clear roles and responsibilities, be managed by a governance council with representatives from different …

  5. These data products have dedicated teams, or “squads,” aligned against them to embed data security, evolve data engineering (for example, to transform data or continuously integrate new …

  6. ESG data governance: A growing imperative for banks

    Feb 8, 2023 · Create a data model to capture ESG data at the certificate level, including integration with third-party data providers (via APIs) and compliance with ESG data policies.

  7. Data ethics: What it means and what it takes | McKinsey

    Sep 23, 2022 · In this article, we explore these traps and suggest some potential ways to avoid them, such as adopting new standards for data management, rethinking governance models, …

  8. How to unlock the value of data age requires a significant data management overhaul. That includes identifying and assessing the value of existing data, designing a scalable data …

  9. How COOs maximize operational impact from gen AI and agentic AI

    Mar 20, 2025 · By defining the right operating structure, data governance model, and change management approach, COOs can help their companies make the most of their AI investments.

  10. Getting the data architecture right in banking - McKinsey

    Feb 28, 2025 · Does the data architecture need to be capable of supporting comprehensive data governance controls—including data stewardship, policy enforcement, and audit trails—across …