Features
Why three invented analytics certification outcomes prove nothing about yours
Three fictional candidates take the same unnamed credential to show why one outcome story cannot tell you what yours will be, and what to check before paying.
Desk
Practice Desk
Process, tooling and the habits that separate a good result from an expensive one.
Costs
Eight analytics certification documents, compared before you trust one
Eight analytics credentials, from CAP to Power BI, judged on the certification documents each issuer publishes and what a missing one tells a buyer.
Industry
Analytics careers trends: five shifts to test
This is not a forecast of analytics careers trends 2027; it outlines five shifts and a job-posting method for testing claims in your own market.
Rules
Reading analytics careers metrics without fooling yourself
Analytics careers measured on yourself: unsupervised range, decisions changed, what survived, what you retired, and the parts that resist counting entirely.
Guides
Analytics careers mistakes that experienced operators still make
Analytics careers damaged by legible choices: learning products not problems, portfolios nobody needs, credential stacks, and titles chosen over the work.
Reviews
Fourteen data governance questions for a dataset you inherit
Fourteen questions to ask about an inherited dataset: what a row is, who is missing, where a field is defined, and what would make the answer wrong.
Costs
Data governance framework: the practical version
A practical data governance framework for bounding scope, setting control tiers, assigning decision rights, and rolling out a governed metrics program.
Costs
Forecasting metrics worth tracking, and the ones to ignore
Forecasting error measures compared: what percentage error hides, why scaled measures travel, and why bias and interval coverage also need reporting.
Industry
Chicago logistics and retail metrics, a dashboard overview for the Midwest
Dashboard metrics for Chicago logistics and retail teams cover shipment, inventory and consumer data pulled from TMS, WMS, POS and BLS sources.
Maintenance
Forecasting mistakes seen from the repair side
Forecasting failures that survive a good model: single numbers, targets in disguise, missing baselines, unlogged overrides and forecasts nobody scores.
Industry
Intelligence dashboard metrics for Boston biotech and healthcare teams
What intelligence dashboards in Boston biotech and healthcare report: clinical, trial and claims metrics, governance rules, platform choices and common failures.
Rules
Fifteen reporting questions: which ones are worth asking before you build
Reporting requests priced honestly: fifteen questions about the decision, the numbers, the reader and the standing obligation, asked before you build.
Maintenance
Lessons hiding in the dashboards examples
Twelve dashboards panel shapes chosen by the question asked: what each layout answers, and the specific way each one fails when it is misapplied.
Rules
How to Test Causation in an Analytics Foundations Case Study
Use an analytics foundations case study to test cause, confounders, and comparisons before citing a platform outcome in an internal budget argument.
Maintenance
A business intelligence framework with governed, curated, and sandbox tiers
A three tier publication model for analytics artifacts: what governed, curated, and sandbox each promise, how numbers move up or down, and who decides.
Features
Data analysis mistakes worth avoiding early
Data analysis mistakes made in the process rather than the arithmetic: answering literally, quiet corrections, naked numbers, and explaining unreal movements.