Resources
Power BI guides and resources, without the jargon
These Power BI guides and resources give straight answers to the questions we hear most before a project starts — how Power BI compares to Tableau, what DAX (opens in new tab) actually is, how licensing and cost work, and what good dashboards look like. Written by the senior engineers who build them, and paired where it helps with Microsoft's official Power BI documentation (opens in new tab) for the canonical detail.
Power BI vs Tableau
An honest comparison of cost models, ecosystems, learning curve, and where each tool genuinely fits — so you can pick on facts, not marketing.
What is DAX?
The formula language behind every Power BI measure, in plain English: measures vs calculated columns, the functions you will use most, and worked examples.
Power BI cost & licensing explained
Free, Pro, Premium Per User, and Fabric capacity — what each tier is for and what actually drives your bill, with a link to Microsoft for current numbers.
How to design a Power BI dashboard
What effective dashboards look like by function and industry — finance, sales, operations, healthcare, retail — and the design choices that make them usable.
Power BI row level security setup
Static vs dynamic RLS, roles and DAX filter rules, USERPRINCIPALNAME, testing with “View as,” and the pitfalls that quietly leak rows.
Excel to Power BI migration checklist
A step-by-step plan to move off spreadsheets: inventory, model design, DAX conversion, parity validation, refresh, and rollout.
Build a Power BI budget vs actual report
Model Actuals and Budget tables, write DAX variance and variance-% measures, and design a board-ready report finance can trust.
Power BI vs Tableau for finance teams
A finance-focused comparison: licensing cost, Excel and Microsoft 365 integration, FP&A reporting, and governance for financial data.
Power BI consultant cost per hour
What Power BI consultants actually charge by experience and skill — and how transparent, prepaid Flex hours compare to typical firm rates and project minimums.
Power BI health check checklist
Audit your Power BI estate the structured way — performance, data model, refresh reliability, governance and security — with a prioritized list of what to fix first.
Fix a failed Power BI scheduled refresh
Why scheduled refresh fails — gateway, credentials, firewall, timeouts — and a step-by-step path to diagnose and clear each cause for good.
How to connect QuickBooks to Power BI
The three practical routes — the built-in Online connector, a middleware sync, and a data warehouse — and how to pick the one your reporting actually needs.
When to rebuild a Power BI report
The signals that mean a targeted fix is enough versus the ones that mean the model needs rebuilding — and how to decide before you spend the hours.
How to fix slow Power BI reports
A practical troubleshooting guide — Performance Analyzer, data model, visuals, DAX, refresh — to find what’s slowing a report and speed it up.
Power BI vs Excel: when to upgrade
When spreadsheets stop scaling — capacity, dashboards, governance, cost, and the migration path — plus an honest take on when Excel still wins.
Running totals in Power BI with DAX
The CALCULATE + FILTER pattern with a worked example, the modern WINDOW function, YTD and by-category variants, and the common mistakes to avoid.
What a dashboard build really costs
The factors that drive development cost, honest price ranges for typical builds, and how fixed-tier pricing compares with open-ended hourly work.
Power BI vs Looker Studio
A practical comparison of features, limits, and pricing — and a clear answer on when the free Google tool is enough and when it isn't.
Setting up the on-premises gateway
Install and configure the standard-mode data gateway, wire up scheduled refresh, and fix the errors that most often break it.
Time intelligence in DAX
YTD, prior-year, and rolling-period measures with TOTALYTD, SAMEPERIODLASTYEAR, and DATEADD — plus the date-table setup they all depend on.
Automating monthly reporting
Replace the manual Excel deck with scheduled refresh, subscriptions, and a report pack that updates itself every month.
Star schema best practices
Why flat tables slow reports down, how facts and dimensions should relate, and the modeling habits that keep DAX simple.
DirectQuery vs Import mode
How the two storage modes differ in speed, freshness, and limits — and a straightforward rule for choosing between them.
Questions to ask a Power BI consultant
A buyer's vetting script for the first call — scoping, data modeling, DAX depth, refresh ownership, RLS, handover and support — with the strong answer and the evasion for each.
When to outsource Power BI dashboard building
A decision framework for DIY vs outsource — time underestimates, DAX expertise gaps, capacity constraints, and when each path delivers the better result.
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