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Well, that is not much to go on. Not sure what kind of analysis would be appropriate for what you are trying to do. My new book has 120+ different DAX calculation recipes and I approached it from a very business-centric perspective so it has Financial metrics (gross margin, revenue growth rate, accounts payable turnover rate, days sales outstanding, etc.), Customer KPI's (funnel drop-off rate, net promoter score, customer lifetime value, customer acquisition cost, etc.), HR metrics (employee turnover rate, absenteeism, human capital added, full-time equivalent, etc.), Project metrics (utilization, planned value, earned value, actual cost, project cost variance, etc.), Industry metrics (days of supply, mean time between failure, overall equipment effectiveness, on time in full, etc.), plus all kinds of other things like linear interpolation, runge-kutta, permutations, combinations, hypergeometric distribution, de-seasonalized correlation coefficients, etc.
You could start by reviewing the Quick Measures gallery, there is lots of good stuff there. https://community.powerbi.com/t5/Quick-Measures-Gallery/bd-p/QuickMeasuresGallery?featured=yes
Otherwise, you will have to be a bit more specific about what data you have. Maybe just start by searching for relevant KPI's like "common KPI for sales" or something like that. Really, DAX has nothing to do with it other than being a vehicle for creating the relevant KPI/metric calculation.
Well, that is not much to go on. Not sure what kind of analysis would be appropriate for what you are trying to do. My new book has 120+ different DAX calculation recipes and I approached it from a very business-centric perspective so it has Financial metrics (gross margin, revenue growth rate, accounts payable turnover rate, days sales outstanding, etc.), Customer KPI's (funnel drop-off rate, net promoter score, customer lifetime value, customer acquisition cost, etc.), HR metrics (employee turnover rate, absenteeism, human capital added, full-time equivalent, etc.), Project metrics (utilization, planned value, earned value, actual cost, project cost variance, etc.), Industry metrics (days of supply, mean time between failure, overall equipment effectiveness, on time in full, etc.), plus all kinds of other things like linear interpolation, runge-kutta, permutations, combinations, hypergeometric distribution, de-seasonalized correlation coefficients, etc.
You could start by reviewing the Quick Measures gallery, there is lots of good stuff there. https://community.powerbi.com/t5/Quick-Measures-Gallery/bd-p/QuickMeasuresGallery?featured=yes
Otherwise, you will have to be a bit more specific about what data you have. Maybe just start by searching for relevant KPI's like "common KPI for sales" or something like that. Really, DAX has nothing to do with it other than being a vehicle for creating the relevant KPI/metric calculation.