Guides
Analytics certifications metrics as practitioners see it
Analytics certifications judged afterwards: measure the mechanism you named, not satisfaction, and why every published outcome figure flatters the program.
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Guides
Guides
Analytics careers case study: the practical version
Analytics careers case built on invented figures: classifying a request queue before hiring against it, and the axis change that cost a quarter of output.
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.
Guides
Which dashboard user adoption metrics predict a rebuild?
Dashboard user adoption metrics only predict a rebuild when read by cohort, not by site-wide average. Here are the thresholds, and what the numbers cannot say.
Guides
What does a business intelligence case study usually leave out?
Business intelligence case studies taken apart claim by claim: hours saved, adoption, one version of the truth, payback, and what is always missing.
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Business intelligence mistakes: most happen around the team, not in it
Business intelligence mistakes made around a data team rather than by it: truth programs, metrics tied to pay, and re-platforming instead of deciding.
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Data governance as answers, not a program: ownership, definitions and access
Plain answers to six governance questions: who owns a metric, what it means, who can see it, how quality is checked, how changes are handled, how lineage is traced.
Guides
Where analytics foundations work goes wrong: the starting point
Analytics foundations without the stack talk: the chain behind every number, how to make a question answerable, and where denominators quietly go wrong.