14 April 2022 Date formatting and interpretation functions in Qlik Share this message Every Friday at Bitmetric we’re posting a new Qlik certification practice question to our LinkedIn company page. Last Friday we asked the following Qlik Data Architect certification practice question about Qlik date interpretation functions: The correct answer is A: Date#() In this case we have to use Date#() to tell Qlik to interpret the Date field as a Date value. This is different from Date() in which we tell Qlik how to format the date value. So what’s is the difference between Date() and Date#() in Qlik? To explain this, we first need to understand that the date field in Qlik has a dual value. All dates in Qlik are stored as a number, which is then represented as a text value in the chosen date format. To illustrate this, we will take a look at the table below: All the way to the left is the Date field we loaded from the CSV file. If we convert this using Date() in the column next to it, it shows a weird date far away in the future. Now converting that field to a number using Num() we see that the value stays the same as the original. This means that the field Date showing 20200101 is actually a numerical value. Now let’s find out which numerical value corresponds to the date we are looking for! Using MakeDate(2020,1,1) we create a date field for January 1st 2020, and behold, this is working as expected. Then, subsequently, turning that into a number value using Num(), we get a result showing the underlying numerical value of 43831 stored within Qlik. This number represents the 1st of January 2020. Now understanding this, it makes perfect sense for Qlik to show us a date of 29 December 57205, since 20200101 is interpreted as a numerical value and only formatted to a date format, using the Date() function. Therefore, we have to make Qlik understand that 20200101 is indeed the 1st of January using the Date#() syntax on the Date field: Date#(Date, ‘YYYYMMDD’) Using this syntax, we tell Qlik how to interpret the value of the Date field and that it is indeed a date value, not a numerical value. In the first part of the syntax we declare the field Qlik has to interpret, in the next part of the syntax, we tell Qlik the formatting in which the date is stored. In this example YYYYMMDD. Qlik will now know the correct date value, but the formatting remains unchanged from the input of YYYYMMDD. To fix this, we can wrap the result in the Date() function: Date(Date#(Date, ‘YYYYMMDD’), ‘DD-MM-YYYY’) That’s it for this week. See you next Friday? More from the Bitmetric team Bitmetric Qlik Support Keep your Qlik environment running smoothly with proactive support that prevents issues before they appear. Available on flexible monthly plans. Learn more. Qlik vs Power BI Series See how Qlik and Power BI perform when theory meets reality. Three apps rebuilt, every step examined. Learn more. Expressions Friday Qlik Test Prep Script Solution How can we help? Whether something’s still unclear or you’re ready to take the next step, Barry and Eric are happy to talk it through. Email us, call us, or book a meeting at a time that works for you. Call us Mail us 1 September 2026 Qlik Answers review: What we learned from real-world testing We tested Qlik Answers on a real production sales model to see how it handles real-world analytics. The results were promising, but getting reliable answers required careful work on the logical model, master measures, dimensions and business context. AI Data Analysis Qlik Semantic Layer 25 August 2026 Your semantic layer is becoming the API for AI Semantic layers are not new, but AI is giving them a new role. Where they once primarily powered dashboards, semantic models are increasingly becoming the layer that provides AI with reliable business context. AI Data Governance Microsoft Fabric Qlik Semantic Layer TimeXtender 17 August 2026 Putting AI to work on your data works. But not like this. Putting AI to work on your data sounds simple. But what can we learn from organizations already doing it? Based on Anthropic’s experience and independent research: what works, what doesn’t, and why maintenance is where the real work lies. AI Data Governance Data Management Power BI Qlik
1 September 2026 Qlik Answers review: What we learned from real-world testing We tested Qlik Answers on a real production sales model to see how it handles real-world analytics. The results were promising, but getting reliable answers required careful work on the logical model, master measures, dimensions and business context. AI Data Analysis Qlik Semantic Layer
25 August 2026 Your semantic layer is becoming the API for AI Semantic layers are not new, but AI is giving them a new role. Where they once primarily powered dashboards, semantic models are increasingly becoming the layer that provides AI with reliable business context. AI Data Governance Microsoft Fabric Qlik Semantic Layer TimeXtender
17 August 2026 Putting AI to work on your data works. But not like this. Putting AI to work on your data sounds simple. But what can we learn from organizations already doing it? Based on Anthropic’s experience and independent research: what works, what doesn’t, and why maintenance is where the real work lies. AI Data Governance Data Management Power BI Qlik