MBA Training Data

MBA Training Data

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MBA Training Data episodes

  • Natural-language BI and the analyst's new role: why the "democratisation" story is only half true

    Natural-language query tools promise to put business intelligence in everyone's hands, removing the analyst bottleneck. The reality is more complicated, and CDOs who act on the simple version of this story will make costly structural mistakes.

    Go deeper, free lessons

    • Self-serve analytics: architecture, data catalog & data literacy
    • The metrics & semantic layer
    • Modern BI: tools, maturity & the semantic layer
    • Data literacy: building analytical capability across the organization
    • Designing the data organization & roles

    Full article and transcript: https://www.mba-training.com/blog/natural-language-bi-analyst-role

    MBA Training, mba-training.com

    5 min
  • How Walmart's CDO built credibility and structure in the first 90 days

    When Walmart reorganized its data function in the early 2020s, the incoming data leadership faced a familiar problem: scattered ownership, competing priorities, and a business that wasn't sure what to expect from a CDO. The choices made in those first three months set the terms for everything that followed.

    Go deeper, free lessons

    • The CDO's first 90 days
    • Overcoming resistance & data politics
    • Operating models: centralized, federated, hub-and-spoke
    • CDO in retail & e-commerce: the data flywheel
    • Data ownership, stewardship and accountability across the org

    Full article and transcript: https://www.mba-training.com/blog/cdo-first-90-days-mandate

    MBA Training, mba-training.com

    5 min
  • Clean rooms in practice: a CDO's playbook for data collaboration without the risk

    Data clean rooms promise the ability to share audience insights across company boundaries without exposing raw data. Here is a concrete sequence for CDOs who want to move from pilot anxiety to production-grade collaboration.

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    • Data partnerships & clean rooms
    • Data partnerships: types, due diligence and privacy-preserving technologies
    • Data sharing, marketplaces, and ecosystems
    • GDPR in practice: the 10 mistakes CDOs make most often
    • Data classification & access control: the zero-trust data approach

    Full article and transcript: https://www.mba-training.com/blog/clean-rooms-data-collaboration-playbook

    MBA Training, mba-training.com

    5 min
  • Internal data products: a field guide to the teams and companies worth studying

    Platform thinking for internal data is no longer a theoretical aspiration, a small group of companies have built the real thing and their choices reveal what actually works. This field guide identifies the most instructive players, ranked by documented influence on how the industry thinks and builds.

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    • Internal data platforms as products
    • The data-as-a-product mindset
    • Data catalogs in practice: Alation, Collibra, DataHub compared
    • Value metrics and adoption
    • Product management for data

    Full article and transcript: https://www.mba-training.com/blog/internal-data-products-platform-thinking-field-guide

    MBA Training, mba-training.com

    5 min
  • Proving data ROI to the board: the contribution margin method explained

    Most CDOs struggle to quantify the value of data investments in terms a CFO will accept. This article explains one specific method, contribution margin attribution, that makes the case in the language boards actually use.

    Go deeper, free lessons

    • Calculating the ROI of data initiatives
    • Data as a strategic asset: how to put a number on it
    • The data P&L
    • Communicating with the board and c-suite
    • Chargeback & showback models

    Full article and transcript: https://www.mba-training.com/blog/proving-data-roi-board

    MBA Training, mba-training.com

    5 min
  • Real-time streaming data: a CDO playbook for getting it right

    Most organizations collect streaming data but few actually act on it fast enough to matter. This playbook gives CDOs a concrete sequence for building real-time data capability that delivers operational value, not just architectural complexity.

    Go deeper, free lessons

    • Batch vs streaming: choosing the right paradigm
    • Streaming data & Apache Kafka: real-time architecture
    • Event-driven architecture & streaming platforms
    • Data FinOps: controlling cloud data cost
    • Data observability: detect problems before your users

    Full article and transcript: https://www.mba-training.com/blog/real-time-streaming-data-cdo-playbook

    MBA Training, mba-training.com

    5 min
  • The data flywheel: how compounding data advantage actually works

    The data flywheel is one of the most cited concepts in AI strategy and one of the least understood in practice. This article breaks down the actual mechanics so that CDOs can assess whether their organization is genuinely building one or just accumulating data.

    Go deeper, free lessons

    • Data monetization: three modes & the data flywheel
    • CDO in retail & e-commerce: the data flywheel
    • MLOps: monitoring, retraining & drift
    • Data as a strategic asset: how to put a number on it
    • AI risk & the EU AI Act

    Full article and transcript: https://www.mba-training.com/blog/data-flywheel-compounding-data-advantage

    MBA Training, mba-training.com

    5 min
  • How JPMorgan Chase built data contracts across 50+ domains

    JPMorgan Chase's data mesh initiative forced the bank to confront a problem most large organizations prefer to defer: who actually owns a data product, and what obligations come with that ownership? Their approach to data contracts offers a detailed, replicable model for CDOs managing complex, federated data environments.

    Go deeper, free lessons

    • Data contracts: the new standard for quality agreements between teams
    • Data mesh: principles, success conditions & criticisms
    • Data ownership, stewardship and accountability across the org
    • Data products: definition, design & lifecycle management
    • CDO in financial services: when regulation is your architecture

    Full article and transcript: https://www.mba-training.com/blog/data-contracts-ownership-jpmorgan-chase

    MBA Training, mba-training.com

    5 min
  • Privacy-enhancing technologies in practice: the hype is ahead of the implementation

    Privacy-enhancing technologies have generated serious boardroom attention, and the underlying science is real. But the gap between pilot programs and production-grade deployment is wider than most CDOs are being told.

    Go deeper, free lessons

    • Data partnerships: types, due diligence and privacy-preserving technologies
    • Data partnerships & clean rooms
    • GDPR in practice: the 10 mistakes CDOs make most often
    • Closing the POC-to-production gap
    • CCPA, LGPD, AI Act: navigating the global regulatory patchwork

    Full article and transcript: https://www.mba-training.com/blog/privacy-enhancing-technologies-practice-implementation

    MBA Training, mba-training.com

    5 min
  • Proving data ROI to the board: the business value bridge method

    Most CDOs can measure data programme activity. Far fewer can connect it to the numbers a CFO or board chair actually cares about. The business value bridge changes that.

    Go deeper, free lessons

    • Calculating the ROI of data initiatives
    • Communicating with the board and c-suite
    • Securing executive buy-in: the boardroom pitch framework
    • Data as a strategic asset: how to put a number on it
    • The data P&L

    Full article and transcript: https://www.mba-training.com/blog/proving-data-roi-board

    MBA Training, mba-training.com

    5 min

About MBA Training Data

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