Guides
Healthcare wait-time dashboards in Canada: what CIHI data can and cannot show
Which CIHI wait-time indicators a Canadian dashboard can use, how each wait is defined, and the coverage and comparability limits to label on every panel.
Contributor
Mason A. Hayes
Which details change the comparison? Mason A. Hayes is the editorial byline assigned to this area. Subject: Business Analytics and Intelligence: intelligence, dashboard, metrics. Practical guides, comparisons and the questions behind a choice form this editorial remit. This is an editorial pen name used by the publication, not a claim of an independently verified personal identity.
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.
Rules
Analytics credential trends: skills hiring and Power BI renewal
Two documented analytics certification trends: federal skills-based hiring under EO 13932 and the yearly free renewal of Microsoft's Power BI credential.
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.
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.
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.
Features
Nine analytics certifications mistakes to avoid
Nine analytics certifications mistakes to avoid: picking the credential before the role, exam-shaped study, collecting certificates, and unread renewal terms.
Costs
Analytics careers questions: a grounded overview, updated for 2027
Analytics careers assessed from the other side: fifteen interview questions sorted by who can actually answer them, and how to read a vague reply.
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.
Features
US retail and logistics dashboard metrics: a public source guide with Midwest context
A plain guide to US retail and logistics dashboard metrics: public data sources, Midwest metro context, refresh limits, tool costs, and accessibility rules.
Features
Mining SEC EDGAR filings for competitive intelligence dashboards
How to pull EDGAR full-text search, XBRL company facts and filing cadence data into dashboard-ready competitive intelligence metrics for US analysts.
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.
Features
Twelve data governance artifacts that each fit on one screen
Twelve governance records as one screen skeletons: concept definition, change notice, access role, quality test, incident record, and more. All values are invented.
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.
Maintenance
Analytics tools metrics: measuring a purchase
A practical approach to analytics tools metrics: set baselines before purchase, track operational measures afterward, and assess what changed.
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.
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.
Industry
Austin compared with Seattle for business analytics careers and pay
Business analytics and intelligence pay in Austin and Seattle: how metro job mixes, OEWS salary bands, cost of living and top employers shape the choice.
Industry
How to use BLS occupational data to forecast analytics hiring demand
A method for using BLS occupational data, including SOC lines and national projections, plus OEWS metro wage steps, release timing and a three-band dashboard.
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.
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.
Industry
How US analysts mine SEC EDGAR filings for competitive intelligence dashboards
An intelligence dashboard built on SEC EDGAR filings needs the right forms, XBRL tags, CIK and SIC mapping, and normalization for competitor metrics.
Costs
Inside a reporting rebuild: why the average was the wrong number
Reporting rebuild worked through on invented figures: why a rising average meant a mix shift, and what replaced the headline number afterwards.
Costs
BI dashboard cost per user: seat ranges and hidden costs
BI dashboard cost per user: illustrative US seat ranges, state-level discount patterns, and the recurring lines that never reach the quote.
Costs
How to calculate business intelligence ROI before the CFO asks
How to calculate business intelligence ROI in USD: year-one cost ranges, payback windows and the recurring costs that sit outside the licence.
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.
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.
Reviews
How to judge an analytics certification before committing
Analytics certifications judged honestly: what one proves, four questions that settle it, the four kinds, a worked example, and the alternatives to the hours.
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.
Features
Business intelligence tools compared on more than the sales demo
A comparison of Power BI, Tableau, Looker, Qlik and Metabase on query behavior, cost shape and lock-in, judged on evidence rather than a sales demo.
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.
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.
Reviews
The costliest dashboards mistakes, explained
Dashboard mistakes that survive correct data: partial periods shown as finished, percentages with no base, dual axes, alphabetical sorting and stray color.
Maintenance
Data analysis questions: what people ask and what is true
Data analysis questions to ask in the room: about the number, the picture, the comparison, what is missing, and whether a movement is real at all.
Guides
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.
Maintenance
Can a reporting pack survive contact with its own audience?
Reporting built to survive: agreeing the close, reconciling to an anchor, automating the pull but writing the narrative, and retiring a pack on purpose.
Reviews
Data analysis in six steps, from the request to the answer with limits
A six step data analysis process: find the decision behind the request, define population and window, check raw rows, and deliver results with limits.