Topic: Time Intelligence
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This article describes a reference Date table in DAX using a Power BI template. The same technique can be used in Analysis Services models. Download the latest version of the template in the Dax Date Template page. Read more
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This article describes how to implement the comparison between school terms. The same technique can be applied to any arbitrary time periods that do not match regular months or quarters in a calendar, such as seasons or campaigns. Read more
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This article compares two common techniques to filter time periods in DAX: calculation groups and many-to-many relationships. Read more
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After the SQLBI+ launch in November 2022, we released the first update with additional content: two sessions about Time Intelligence and one whitepaper about the new DAX window functions. This is much more than the single Time Intelligence session we… Read more
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Every Power BI model has dates and the need for calculation over dates to aggregate and compare data, like Year-To-Date, Same-Period-Last-Year, Moving Average, and so on. Quick measures and standard time intelligence functions in DAX can help, but how do… Watch now
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DAX provides a set of functions (Time Intelligence) to compute aggregations and comparisons over a range of dates: Year-To-Date, Same-Period-Last-Year, Moving Average, and so on. The DAX time intelligence functions can work well with a month granularity, but they have… Watch now
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This video describes how we answer a question about an article: this time we show how to use the “Top N and others” report when there is a filter by date. Watch now
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In this article we demonstrate how to use calculation groups to show the behavior of any measure in the last 6 months, starting from a single date selection with a slicer. This can be applied to any number of months. Read more
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Why the standard DAX time intelligence functions might return unexpected results? Discover how DATEADD and SAMEPERIODLASTYEAR work under the hood! Watch now
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Rolling averages over time (a.k.a. moving averages or running averages) are useful to smoothen chart lines and to make trends more evident. This article shows how to compute a rolling average over 12 months, in DAX. Read more
