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Ideas Behind Better Decisions

Insights on analytics, data-driven decision-making, and applied research.

Hypothetical customer retention analysis showing a Kaplan–Meier survival curve, censoring markers, and the difference between naive and adjusted retention estimates.
Business Analytics & Data Science

Is Your 90-Day Customer Retention Rate Misleading?

A company reports 60% customer retention, but some customers have not completed their observation period. Learn how right-censoring and Kaplan–Meier analysis change the interpretation of retention data.

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Hypothetical national and regional sales forecasts before and after reconciliation, showing how inconsistent predictions are adjusted to agree.
Predictive Analytics & Decision Modeling

Why Doesn't Your Sales Forecast Add Up Across Regions?

Your national sales forecast predicts 1,000 units, but regional forecasts add up to 1,050. Which number should management trust? Learn how hierarchical forecasting and reconciliation create consistent predictions.

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CRM and billing records connected through a unified customer identity mapping layer.
Data Engineering & Analytics

Why Don't CRM and Billing Customer Counts Match? A Practical Guide to Identity Resolution

Five CRM records and four billing accounts may represent six customers—not nine. Learn how identity resolution, customer keys, and SQL prevent misleading customer and revenue reporting.

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Hypothetical comparison of organic search clicks for updated and comparison pages, showing a difference-in-differences estimate after an SEO change.
SEO & AI Search Analytics

Did Your SEO Changes Actually Increase Organic Traffic?

Organic clicks increased after an SEO update. But how much of that growth would have happened anyway? Learn how difference-in-differences, comparison pages, and careful assumptions can improve SEO impact evaluation.

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Cohort health-state transitions beside varied individual patient pathways
Health Economics & Simulation

When Should Healthcare Decision-Makers Use Microsimulation Instead of a Markov Cohort Model?

A practical framework for choosing between cohort Markov models and patient-level microsimulation—plus a transparent cost-effectiveness example.

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Two hypothetical machine learning models with identical AUC scores but different probability calibration, comparing predicted risk with observed event frequency.
Data Science & Machine Learning

Your Model Has a Good AUC. Can You Trust Its Probabilities?

Two machine learning models have identical AUC scores, but one substantially overestimates risk. Learn how probability calibration, Brier scores, and decision costs reveal differences that classification metrics can miss.

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Analytics audit comparing reported Direct traffic with adjusted results after identifying internal visits and missing campaign information.
Marketing & Digital Analytics

Why Is Most of My GA4 Traffic Direct? An Audit Before You Trust the Number

A high Direct traffic percentage does not necessarily mean visitors typed your website address. Learn how to audit internal visits, missing campaign data, and attribution with a practical worked example.

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Data pipeline diagram showing a CRM schema change, validation layer, and protected revenue dashboard.
Data Engineering & Analytics

Your CRM Changed One Field. Why Did the Revenue Dashboard Break?

One CRM field change can break an entire reporting pipeline. Learn how data contracts, schema versioning, and automated checks protect revenue dashboards from silent errors.

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Comparison of expected and observed user allocations in a website A/B test, highlighting an unexpected imbalance between groups.
Marketing & Digital Analytics

Your A/B Test Shows a 20% Lift. Can You Trust the Result?

Your A/B test shows a 20% conversion lift, but did users split correctly between groups? Learn how sample ratio mismatch can reveal experiment problems before rollout.

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Illustrative comparison of two hospitals showing higher emergency department charges but lower estimated resource costs after CCR adjustment.
Healthcare Analytics & Health Economics

Why Hospital Charges Are Not Hospital Costs

A hospital bills $12,000 for an emergency visit. What did the care actually cost? Learn how cost-to-charge ratios, HCUP data, and economic assumptions change the answer.

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Shared analytics dashboard with separate authorized data views for two clients and a central access-control layer.
Data Engineering & Analytics

How Can One Dashboard Serve Multiple Clients Without Exposing Their Data?

Can one analytics dashboard safely serve multiple clients? Learn how row-level security, database permissions, identity mapping, and access testing help protect client-specific reporting.

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Illustrative customer satisfaction analysis showing 80% satisfaction among respondents and a 56% to 86% range across assumptions about missing responses.
Business Analytics

Can Missing Data Reverse a Business Decision?

A survey reports 80% customer satisfaction, but 30% of customers never responded. Learn how missing data, imputation assumptions, and sensitivity analysis can change the interpretation—and the decision.

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