Leaders Insights — Data

Leaders Insights
Leaders Insights
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Leaders Insights — Data. Daily strategy in data governance, architecture, analytics and AI, for data leaders and aspiring CDOs. New episode every day at mba-training.com.

  1. 22h ago

    Privacy-enhancing technologies in practice: a CDO playbook

    Privacy-enhancing technologies have moved from cryptography research papers into production pipelines at major financial institutions and healthcare networks. This playbook gives CDOs a concrete sequence to deploy PETs without stalling analytics programmes or exposing the organisation to regulatory backlash.

  2. 1d ago

    Clean rooms in practice: a CDO playbook for data collaboration that actually works

    Data clean rooms offer a principled path to collaborative analytics without exposing raw customer data, but most implementations stall on governance gaps and misaligned incentives. This playbook gives CDOs a concrete sequence to stand up a clean room partnership, avoid the common failures, and extract value quickly.

  3. 2d ago

    Feature stores and the ML data supply chain: what CDOs actually need to understand

    Feature stores solve one of the most expensive and least visible problems in enterprise ML: the repeated, inconsistent transformation of raw data into model-ready inputs. Understanding how they work, and when they are worth the investment, is now core CDO territory.

  4. 3d ago

    Building a semantic layer for consistent metrics across business units

    When Finance reports one revenue number and Sales reports another, the problem is rarely the data itself. This playbook shows CDOs how to build a semantic layer that enforces metric consistency across every business unit, without requiring a full data warehouse overhaul.

  5. 4d ago

    How Uber built its ML data supply chain: lessons from the Michelangelo feature store

    Uber's Michelangelo platform forced the company to confront a problem most ML teams hit eventually: the same features being rebuilt repeatedly by different teams, with no shared infrastructure underneath. The decisions Uber made in 2017 and 2018 still define how serious organisations think about feature stores today.

  6. 5d ago

    The CFO who almost killed the data team (and what saved it)

    In 2019, a major UK retailer's data function came within one budget cycle of being dismantled entirely because it couldn't show a single number the CFO believed. What rescued it is a story every CDO should know by heart.

  7. Jul 28

    The modern ELT stack explained: dbt, ingestion, and orchestration working together

    The shift from ETL to ELT reshaped how data teams build pipelines, but the real complexity lies in understanding how the three layers, ingestion, transformation, and orchestration, actually interact. This article breaks down the mechanics of the modern stack with concrete examples, and explains where the genuine tradeoffs sit for leaders making architecture decisions.

  8. Jul 27

    GDPR beyond consent: a CDO playbook for retention and minimization

    Most organizations fixed their consent banners years ago and assumed that was the hard work done. Retention schedules and data minimization remain the two most frequently cited GDPR violations in supervisory authority enforcement, and closing that gap requires a deliberate operational program, not just a policy document.

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Leaders Insights — Data. Daily strategy in data governance, architecture, analytics and AI, for data leaders and aspiring CDOs. New episode every day at mba-training.com.

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