MBA Training Data

By Leaders Insights

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Category: Management

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Episodes: 94

Description

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.

Episode Date
NAV error threshold: back-solving reconciliation tolerances
Oct 20, 2026
Asos hack: why marketing tools hold your Snowflake keys
Oct 13, 2026
dbt State and agent-ready data: why declared meaning comes first
Oct 13, 2026
ARTEX bank breaches: why side-door data access is a CDO issue
Oct 09, 2026
UK GDPR Article 21: 44,000 objections hit NHS Palantir
Oct 06, 2026
dbt State: lag_tolerance is now a budget decision
Oct 06, 2026
SB 947: proving who reviewed an AI firing call
Oct 02, 2026
Churn models in telecom: why uplift beats accuracy
Oct 01, 2026
AI slop detectors: why filtering training data backfires
Sep 30, 2026
Cross-agency data: why 70% of failures are semantic
Sep 29, 2026
Amazon's data flywheel: twelve years of engineering
Sep 27, 2026
Boeing component traceability: pay for the birth record
Sep 26, 2026
Semantic layers: one revenue number for the board
Sep 25, 2026
Identity resolution in pharma: one HCP, six records
Sep 24, 2026
AI agents querying your warehouse: measure before rebuilding
Sep 23, 2026
AML pipelines: three design calls examiners test
Sep 22, 2026
DuckDB and text-to-SQL: redesign the analytics team
Sep 21, 2026
Grey market leaks: Richemont's serial number fix
Sep 20, 2026
Data flywheel: why loop latency beats data volume
Sep 19, 2026
MES and ERP integration: the real Siemens Amberg win
Sep 18, 2026
ML in production: why models die after the notebook
Sep 17, 2026
Data literacy: measure decision quality, not training
Sep 16, 2026
GDPR retention and minimization: the real compliance gap
Sep 15, 2026
Alternative credit scoring: how Tala lends without bureaus
Sep 14, 2026
Luxury waitlist allocation: building a defensible scarcity model
Sep 13, 2026
Mistral's $3.5B raise: why open weights favor portability
Sep 13, 2026
Decision intelligence: engineer the decision, not the dashboard
Sep 11, 2026
GDPR versus GxP audit trails: the deletion trap
Sep 10, 2026
Open data portals: publish fewer datasets as products
Sep 09, 2026
Fanatics data platform ROI: making the board care
Sep 08, 2026
Load forecasting: why DER signals break utility models
Sep 07, 2026
ELT stack: where dbt, ingestion and orchestration break
Sep 06, 2026
Data contracts: how JPMorgan Chase named data owners
Sep 04, 2026
Data literacy programs: change decisions, not courses
Sep 03, 2026
Zero-trust data access: what CDOs need to check first
Sep 02, 2026
Master data management: how Salesforce made MDM stick
Sep 01, 2026
Pricing and packaging a data product for external revenue
Aug 29, 2026
Data observability: catching bad data before it reaches decisions
Aug 28, 2026
Hub-and-spoke data teams: the model that sounds right and works badly
Aug 27, 2026
The data flywheel field guide: who built compounding advantage and what they actually did
Aug 25, 2026
Privacy-enhancing technologies in practice: a CDO playbook
Aug 24, 2026
How Walmart proved data ROI to its board: lessons from a $1 billion bet on supply chain intelligence
Aug 23, 2026
Natural-language BI and the analyst's new role: why the "democratisation" story is only half true
Aug 22, 2026
How Walmart's CDO built credibility and structure in the first 90 days
Aug 21, 2026
Clean rooms in practice: a CDO's playbook for data collaboration without the risk
Aug 20, 2026
Internal data products: a field guide to the teams and companies worth studying
Aug 19, 2026
Real-time streaming data: a CDO playbook for getting it right
Aug 17, 2026
The data flywheel: how compounding data advantage actually works
Aug 16, 2026
How JPMorgan Chase built data contracts across 50+ domains
Aug 15, 2026
Privacy-enhancing technologies in practice: the hype is ahead of the implementation
Aug 14, 2026
Operationalizing the EU AI Act for data teams: a practical playbook
Aug 12, 2026
How Airbnb rebuilt metric consistency with a semantic layer
Aug 11, 2026
Data literacy programs that change behavior: a CDO's execution playbook
Aug 10, 2026
Proving data ROI to the board: a CDO's execution playbook
Aug 09, 2026
How Cloudflare rebuilt its data stack around dbt, Fivetran, and Airflow
Aug 07, 2026
Model monitoring, drift detection, and retraining triggers: a CDO playbook
Aug 05, 2026
Building a semantic layer for consistent metrics across business units
Aug 01, 2026
How Uber built its ML data supply chain: lessons from the Michelangelo feature store
Jul 31, 2026
Feature stores and the ML data supply chain: a CDO's execution playbook
Jul 29, 2026
GDPR beyond consent: a CDO playbook for retention and minimization
Jul 27, 2026
Data clean rooms explained: what they actually do and when they're worth the effort
Jul 25, 2026
Cutting cloud data costs without breaking analytics
Jul 24, 2026
Why most data culture initiatives fail before they start
Jul 22, 2026
When the AI model is wrong: what CDOs must own in 2026
Jul 21, 2026
When privacy becomes a board-level liability: what CDOs need to own in 2026
Jul 20, 2026
From data asset to data product: what CDOs get wrong about monetization
Jul 19, 2026
Data governance in 2026: why compliance alone is failing CDOs
Jul 18, 2026
Self-service analytics is failing most organizations, and CDOs are partly to blame
Jul 17, 2026
Data mesh vs. data lakehouse: what CDOs actually need to decide in 2026
Jul 16, 2026
Why data culture fails before strategy does
Jul 15, 2026
When AI strategy becomes infrastructure: what CDOs must own in 2026
Jul 14, 2026
When privacy becomes a liability: what CDOs must own in 2026
Jul 13, 2026
Data products that generate revenue: what separates strategy from wishful thinking
Jul 12, 2026
Data governance under pressure: what CDOs must get right in 2026
Jul 11, 2026
Self-service analytics at scale: what CDOs keep getting wrong
Jul 10, 2026
Data mesh vs. data lakehouse: what CDOs actually need to decide in 2026
Jul 09, 2026
Why most data culture initiatives fail before they start
Jul 08, 2026
Privacy debt: the hidden liability CDOs can no longer defer
Jul 06, 2026
Why data culture fails before the technology does
Jul 01, 2026
The data mesh reckoning: why most enterprise architecture decisions made in 2022 are failing in 2026
Jun 25, 2026
Why your data culture initiative is failing before it starts
Jun 24, 2026
Why most AI strategies fail before they start: the CDO's structural blind spot
Jun 23, 2026
When your data becomes the breach: how CDOs must rethink privacy as a strategic asset in 2026
Jun 22, 2026
Data governance is not a compliance exercise, it's your most underutilized competitive weapon
Jun 20, 2026
Why your data culture initiative is failing, and what high-performing CDOs do differently
Jun 19, 2026
Beyond dashboards: why most BI programs fail to deliver strategic value, and what CDOs must do differently
Jun 18, 2026
From cost center to revenue engine: how leading CDOs are building data products that actually sell
Jun 17, 2026
Why most AI strategies fail before they start: the data foundation problem CDOs can't ignore
Jun 16, 2026
Why your data architecture is lying to you, and what modern CDOs are doing about it
Jun 15, 2026
Data governance is not a compliance exercise, it's a competitive weapon
Jun 14, 2026
Privacy is not a compliance checkbox: how CDOs can turn data protection into competitive advantage
Jun 13, 2026
Why your data strategy will fail without a culture strategy first
Jun 12, 2026
From dashboards to decisions: why most BI programs fail to deliver business value
Jun 11, 2026
From cost center to revenue engine: how leading CDOs are building data products that actually sell
Jun 10, 2026