Maintenance
Who should answer your analytics certification questions, and in what order?
Analytics certifications settled by sixteen questions sorted by who can answer them: the issuing body, your employer, and somebody who already holds it.
Desk
Policy Desk
Regulation, licensing and the obligations that apply to business analytics and intelligence.
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.
Rules
Analytics certifications checklist for vetting a credential
Use this analytics certifications checklist to assess an exam blueprint, assessment, accreditation, renewal terms and practical fit before choosing.
Reviews
What connects several very different analytics careers paths?
Analytics careers shown as five invented composites, each followed by the part that genuinely generalizes and the structural opening that made it possible.
Industry
Which data governance metrics are actually worth a target?
Data governance measured by state, not activity: governed coverage, detection lag, disputed concepts, and which of them can safely carry a target.
Rules
Data governance mistakes: who owns the number and who can decide
Data governance mistakes around ownership and decision rights: councils that cannot decide, owners assigned to systems, unowned reference data and lost history.
Industry
Forecasting tools by class: how to run a trial that can fail
Names forecasting tools by class, gives published prices where vendors list them, and outlines a trial that can fail along with reproducibility and handover checks.
Maintenance
An invented forecasting rebuild: scoring, cutting a definitional break, matching granularity
An invented forecasting rebuild: scoring the existing forecast, cutting a definitional break, matching daily granularity, and what failed along the way.
Rules
What US and Canadian analysts must check before sharing a cross-border dashboard
Business analytics and intelligence teams must check US state privacy laws, PIPEDA, consent, residency and breach rules before sharing a cross-border dashboard.
Rules
What does NIST data and AI risk guidance mean for dashboard metrics?
Dashboard metrics teams can turn NIST AI risk guidance into lineage checks, bias reviews and dashboard sign-off records that hold up under audit.
Rules
California and New York privacy laws and what they change in your dashboard metrics
Intelligence dashboard metrics in California and New York must change for CCPA, CPRA, the SHIELD Act and pending privacy bills that reshape definitions.
Rules
What dashboard accessibility standards do US agencies follow?
Dashboard accessibility standards US agencies follow start with Section 508 and WCAG 2.x, with state rules layered on top, plus required VPAT documentation.
Rules
PIPEDA dashboard compliance metrics for Canadian insurers
PIPEDA dashboard compliance metrics for insurers track consent withdrawal, 24-month breach logs and Quebec's Law 25 add-ons. What each regulator expects.
Costs
Reporting mistakes: the ones that outlive perfectly correct arithmetic
Reporting faults that outlive correct arithmetic: publishing before the close, packs that only grow, comparisons quietly restated, and unowned numbers.
Industry
The dashboards questions that keep coming back
Dashboard questions for an inherited estate: fifteen to ask about the numbers, the reader and the page, and the four decisions the answers point to.
Rules
Reading dashboards framework with a sceptical eye
Dashboards framework in two parts: a one page specification, then a four band layout from the answer down to the detail, with a retirement condition.
Costs
7 things to weigh up on analytics foundations framework
Analytics foundations framework in six layers: design downward from the decision, build upward from the data, and gate each layer before moving on.
Reviews
Analytics foundations questions to ask requesters, source owners and yourself
Analytics foundations questions to ask the requester, the source system owner, whoever built the existing number, and yourself before you publish.
Reviews
Best data analysis tools by job, not brand
How to choose the best data analysis tools by the four jobs they do, the properties that matter, and when a spreadsheet is the wrong tool.
Guides
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.