25 May 2022 Adjust timezones in Qlik with ConvertToLocalTime() 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 converting timezones in Qlik: The correct answer is C: ConvertToLocalTime(PhoneCallTime, ‘Helsinki’) When extracting data from various sources, it is most likely that the server on which the data is stored runs on UTC time. This will mean that if any timestamps are stored they will be stored in UTC time as well. When this data is subsequently loaded without accounting for different time zones, differences between the stored timestamp and the actual time on which an action has happened may occur, as is the case in the example. Since the opening hours of the office are between 08:00 and 20:00 the majority of the phonecalls is to be expected to be between those hours. In the figure however, we can clearly see they start to early and end too soon. By using the following syntax we can solve this: ConvertToLocalTime(timestamp [, place [, ignore_dst=false]]) The first part of the syntax requires the timestamp which we would like to convert. In this case it was the field “PhoneCallTime”. The second part of the syntax is ‘Place‘ or rather the location we would like to convert to. So in the example we have used Helsinki. Hereby it is worth noting that Qlik retrieves its location information from the Windows Registry. You can find the whole list of locations and time zones at: HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Time Zones Keep in mind however that this part of the syntax is sensitive to the language settings on the machine. Cities may have different spelling in different languages, so make sure hat the spelling used in the script matches the language settings of the machine. Daylight savings time. Standard this is set to False (0), but by setting this to True (1) you will be able to ignore DST if this is required. This is also the reason that answer D is wrong. While technically this might work, it does not account for DST. Helsinki and Johannesburg for example are both in the same timezone, UTC+2. However as we can see in this example, the current time for Helsinki is UTC+3 since Finland uses DST, while Johannesburg does not. So when using ConvertToLocalTime also keep in mind whether the location you are converting to is located on the northern or southern hemisphere to make sure this is also calculated correctly. 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. Friday Qlik Test Prep 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 6 November 2026 Qlik Cloud overage: who decides how much risk you face? A small error in Qlik Cloud can lead to unexpected overage charges. But how large can that financial risk become? We share our own experience, explain how Data for Analysis overage works, and discuss why customers should be able to decide how much additional capacity they want to allow. We also look at ways to prevent overages and at developments surrounding Usage Bank. Data Analysis Governance Qlik 6 November 2026 Microsoft Fabric and Power BI: The Most Important Updates from October 2026 AI agents that build Power BI reports, independently perform data engineering, and provide increasingly accurate answers to questions about business data. In October, Microsoft once again made significant progress with Fabric and Power BI. But what do these developments mean in practice? We discuss the most important updates and share our experiences and insights. Agentic […] Microsoft Fabric New Release Power BI 4 November 2026 Qlik Cloud Update October 2026: Semantic Models, AI, and Modern Development October brought 24 updates to Qlik Cloud. The introduction of Semantic Models in Data Products stands out in particular. Qlik Code for VS Code, AI-assisted development, and improvements to the Direct Access gateway also deserve attention. Our consultants discuss what these developments mean in practice. New Release Qlik
6 November 2026 Qlik Cloud overage: who decides how much risk you face? A small error in Qlik Cloud can lead to unexpected overage charges. But how large can that financial risk become? We share our own experience, explain how Data for Analysis overage works, and discuss why customers should be able to decide how much additional capacity they want to allow. We also look at ways to prevent overages and at developments surrounding Usage Bank. Data Analysis Governance Qlik
6 November 2026 Microsoft Fabric and Power BI: The Most Important Updates from October 2026 AI agents that build Power BI reports, independently perform data engineering, and provide increasingly accurate answers to questions about business data. In October, Microsoft once again made significant progress with Fabric and Power BI. But what do these developments mean in practice? We discuss the most important updates and share our experiences and insights. Agentic […] Microsoft Fabric New Release Power BI
4 November 2026 Qlik Cloud Update October 2026: Semantic Models, AI, and Modern Development October brought 24 updates to Qlik Cloud. The introduction of Semantic Models in Data Products stands out in particular. Qlik Code for VS Code, AI-assisted development, and improvements to the Direct Access gateway also deserve attention. Our consultants discuss what these developments mean in practice. New Release Qlik