power bi dax exercise
power bi dax exercise
What is power bi dax exercise?
Power BI DAX Practice Exercise
Strengthen your Power BI data analysis skills through hands-on DAX exercises designed to improve your understanding of calculations, measures, and filter context. Practise using essential DAX functions such as CALCULATE, FILTER, COUNTROWS, and other analytical expressions to solve real-world business problems, create dynamic measures, and generate meaningful insights from data.
Difficulty: Beginner to Advanced
Learning outcomes: Build confidence in writing DAX formulas, understanding row and filter context, troubleshooting calculations, and applying DAX effectively in Power BI reports.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
If you put those three categories together — pre-pregnancy, pregnancy, and baby — that LTV, that consumer goes from one purchase to effectively like three years. That's a huge shift in LTV, and if you can acquire those customers at the very beginning and then monetize them across that entire next 36 months, it changes the entire CAC of those businesses.
Chain adjacent life-stages: 1 purchase → 36 months of LTV
Most consumer apps lose subscribers at natural life-stage breakpoints. Bundling pre-pregnancy, pregnancy, and baby (or pre-college, college, career, family) into one subscription stretches LTV from a single purchase to ~36 months. That fundamentally rewrites the CAC math and lets you outbid single-stage competitors on paid acquisition.
I honestly think the MVP not just in our category but I'd say most categories the whole concept of it is rarely applicable... the viable part might actually take a little more time these days than it ever has in the past.
The Viable Bar in MVP Has Never Been Higher — Plan More Time, Not Less
When smartphone apps were new, curiosity drove downloads and a rough MVP could find an audience. Now people install fewer than 10 new apps a year and are set in their habits — so competing in any mature category means the product must be genuinely complete before expecting anyone to switch. Val spent years building Monarch's data-cleansing intelligence layer before launching publicly because in personal finance that infrastructure was table stakes, not a v2 feature.
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