The 6 Dimensions of Data Quality — Accuracy: The Data Is Clean. It's Also Wrong.
Data accuracy needs a real-world reference. Reconcile metrics with payments, receipts, and domain knowledge before trusting a tidy dashboard.
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The 6 Dimensions of Data Quality — Consistency: When Two Dashboards Disagree, Neither Team Is Crazy.
Conflicting dashboards often hide different metric definitions. Align grain, filters, timezones, and ownership with a practical metric contract.
Read the essayThe 6 Dimensions of Data Quality — Timeliness: Yesterday's Data Is Not Yesterday's Truth.
Fresh data can still be incomplete. Define latency, reporting windows, and freshness expectations before treating provisional metrics as final.
Read the essayThe 6 Dimensions of Data Quality — Uniqueness: One Customer, Four Rows, Zero Trust.
Duplicate events can manufacture growth. Define the counting unit, audit candidate keys, and investigate the mechanism before removing repeated rows.
Read the essayThe 6 Dimensions of Data Quality — Validity: A Valid Email Address Can Still Be Terrible Data.
Data validity goes beyond accepted formats. Define business rules, controlled values, and responses to violations before trusting a field for analysis.
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The 6 Dimensions of Data Quality — Completeness
Missing data can look perfectly normal. How completeness failures distort analysis and the decisions that follow.
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Practicing Data Analysis Is Broken Too (Not Just Hiring)
Most analyst practice trains execution on clean toy problems instead of judgment under ambiguity.
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AI Broke Your Hiring Signals (You Just Haven’t Noticed Yet)
LLMs made polished take-homes and portfolios easier to fake, which breaks many old hiring signals.
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Why Hiring Data Analysts Is Still Broken (And We Pretend It’s Not)
Many analyst hiring processes still reward presentation polish and credential proxies over analytical judgment.
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Start by Not Touching the Data
Good analysis often starts by clarifying the question and the business context before touching the dataset.
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Stop Hiring the Resume: The Proxy-Metric Trap in Recruiting
The resume is a noisy proxy for competence, and teams confuse that proxy with evidence of actual analytical ability.
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What Can We Learn from Em-Dashes?
Can em dashes reveal AI-written text or a candidate’s ability? Tal Mizrachi examines punctuation, superficial signals, and bad hiring conclusions.
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Well-defined processes and deserts
A process can be tightly defined and still be strategically wrong, especially when teams confuse structure with usefulness.
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How ChatGPT will change home assignments?
A January 2023 perspective on ChatGPT, technical take-home tests, and why hiring teams need to assess analytical ability beyond working code.
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First Data Job Interviews
Questions to ask in your first data job interview: the work, the team, mistakes, growth, and whether the process respects your time.
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Statistics and analysts
Statistics matters for analysts, but mostly as a way to reason better rather than as a badge of mathematical purity.
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Dashboards are the problem, Not the solution
Dashboards often manufacture the feeling of clarity before a team has done the harder work of defining what matters.
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The Imposter Syndrome
A personal perspective on imposter syndrome in data careers, comparing yourself with colleagues, and talking openly about what you do not know.
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How to approach people you don't know on LinkedIn
How to message someone you do not know on LinkedIn: introduce yourself, explain the context, and make a specific request with the Inigo Montoya method.
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The Intransitivity of AB Tests
Winning comparisons in a sequence of A/B tests do not guarantee a clean global ranking of variants.
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The Greediness of AB Tests
A/B testing can optimize for local wins while quietly pushing teams away from broader learning.
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The Temporal Limitations of AB Testing
A/B test results are bounded by time, context, and population, even when the output looks statistically neat.
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What are the characteristics of good business analysis?
Good business analysis is repeatable, grounded in business rationale, and explicit about what action it makes possible.
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