Articles

Why a LEFT JOIN returns more rows than the left table, how the repeated rows inflate SUM and COUNT, and how grain checks, pre-aggregation, EXISTS and dbt tests keep metrics correct.

Diagnose sample ratio mismatch in A/B tests with a chi-square example, SQL checks, a decision tree, and a clear rule for pausing analysis.

A switchback calculator that checks block length, washout, carryover, autocorrelation and power before an experiment touches a live marketplace.

Diagnose training-serving skew in production ML with feature diffs, freshness and leakage tests, transform examples, and semantic alert thresholds.

CUPED preflight checks reduce experiment variance without leakage, bias, or new-user errors. Get equations, an A/A protocol, and a checklist.

Learn how to measure delayed retention effects after an onboarding experiment with cohorts, survival curves, time windows, guardrails, and a worked readout.

Scanned PDFs break local RAG quietly. An Ollama workflow with OCR quality gates, page-level citations, multilingual checks and retrieval tests that expose failure.

Build a B2B webinar no-show email sequence with ready-to-send copy, replay branches, sales routing, suppression rules, and intent metrics.

Creative product analytics for music and maker tools: measure session quality, completion, feedback, and small experiments without worshipping raw usage.

Use analytics interview questions to test variance, statistical power, peeking, segment fishing, and decision judgment before making a data hire.

Turn A/B test lifts into P&L estimates with metric mapping, holdouts, cohort checks and finance-ready experiment readouts that do not overclaim.

Data pipelines, real-time decisioning and experimentation are the hard part of personalization, which is why many casino and sportsbook operators buy a platform instead of building one.

158 million tracks got 1,000 plays or fewer in 2023. Music-tech teams win on the loops their region runs: talent, validation, distribution and capital.

The same $50 monthly margin can justify a $600, $333 or $278 CAC. An eight-module calculator with a unit interface, decision rules and shock tests shows which.

Modern PM assessments give you 45-60 minutes, partial data and a mid-case twist, then score four artifacts: outcome, assumptions, trade-off and decision rules.

Only 10-20% of experiments at Google and Bing came out positive. Simulators let PMs practice trade-offs, delayed consequences and conflicting metrics without real customers paying.

A blended 12-month CAC payback can hide a segment that needs 22.5 months. Six artifacts, four scaling gates and the review rituals that catch it early.

AI systems learn from the past but act in the present. The roles, rules and feedback loops that keep deployed models useful and safe as conditions change.

Next best action instead of next best offer: state-aware cashier, sportsbook and VIP decisions under UKGC rules, measured with a holdout and a net-of-cost number.

Recommendations drive about 80% of Netflix viewing; in iGaming the same power steers money. Eligibility before the model, four modes, shared caps and persistent holdouts.