Leaders Insights — Data

By Leaders Insights

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.... more

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FAQs about Leaders Insights — Data:

How many episodes does Leaders Insights — Data have?

The podcast currently has 51 episodes available.

Leaders Insights — Data episodes:

August 03, 2026 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.
Read the full article and transcript: https://www.mba-training.com/blog/clean-rooms-data-collaboration-playbook
Leaders Insights, mba-training.com
...more
5min
August 02, 2026 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.
Read the full article and transcript: https://www.mba-training.com/blog/feature-stores-ml-data-supply-chain
Leaders Insights, mba-training.com
...more
5min
August 01, 2026 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.
Read the full article and transcript: https://www.mba-training.com/blog/semantic-layer-consistent-metrics
Leaders Insights, mba-training.com
...more
5min
July 31, 2026 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.
Read the full article and transcript: https://www.mba-training.com/blog/feature-store-ml-data-supply-chain-uber
Leaders Insights, mba-training.com
...more
5min
July 30, 2026 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.
Read the full article and transcript: https://www.mba-training.com/blog/proving-data-roi-board
Leaders Insights, mba-training.com
...more
5min
July 29, 2026 Feature stores and the ML data supply chain: a CDO's execution playbook
Most ML projects stall not because of model quality but because data preparation is reinvented from scratch every time. This playbook gives CDOs a concrete sequence for building a feature store and treating ML data as a managed supply chain.
Read the full article and transcript: https://www.mba-training.com/blog/feature-stores-ml-data-supply-chain
Leaders Insights, mba-training.com
...more
5min
July 28, 2026 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.
Read the full article and transcript: https://www.mba-training.com/blog/modern-elt-stack-dbt-ingestion-orchestration
Leaders Insights, mba-training.com
...more
5min
July 27, 2026 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.
Read the full article and transcript: https://www.mba-training.com/blog/gdpr-retention-minimization-cdo-playbook
Leaders Insights, mba-training.com
...more
5min
July 26, 2026 How JPMorgan Chase built data contracts across 50+ domains
JPMorgan Chase spent years wrestling with data inconsistencies across hundreds of business lines before committing to a structured data contract framework. The mechanics they chose, and the organizational friction they encountered, offer a practical blueprint for CDOs facing the same ownership vacuum.
Read the full article and transcript: https://www.mba-training.com/blog/data-contracts-ownership-jpmorgan-chase
Leaders Insights, mba-training.com
...more
5min
July 25, 2026 Data clean rooms explained: what they actually do and when they're worth the effort
Data clean rooms allow organisations to collaborate on sensitive datasets without either party exposing the raw data. For CDOs weighing privacy-preserving analytics against operational complexity, understanding the mechanics matters before signing any partnership agreement.
Read the full article and transcript: https://www.mba-training.com/blog/data-clean-rooms-collaboration-explained
Leaders Insights, mba-training.com
...more
5min

FAQs about Leaders Insights — Data:

How many episodes does Leaders Insights — Data have?

The podcast currently has 51 episodes available.