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 Qlik Cloud Backup Protect your investment in Qlik with daily incremental backups stored in an encrypted environment with redundant storage. Available for as little as 2 Euro per day. Learn more. Join the team! Do you want to work within a highly-skilled, informal team where craftsmanship, ingenuity, knowledge sharing and personal development are valued and encouraged? Check out our job openings. Friday Qlik Test Prep Solution How can we help? Barry has over 20 years experience as a Data & Analytics architect, developer, trainer and author. He will gladly help you with any questions you may have. Call us Mail us 25 April 2025 Game-Changer in Qlik: Set Analysis Now Works WITHOUT Using It’s Syntax! Discover Qlik Cloud’s latest feature that lets you apply object level filters without writing any set analysis syntax. A simpler and faster way to build dashboards, especially for non-technical users. Read more in this blog post. New Release Qlik 23 April 2025 When Everyone Has Different Numbers: Why Data Alignment Matters Different teams, different data, different results. This post explores how misaligned data leads to confusion, and how TimeXtender helps bring everyone back to the same page. TimeXtender 16 April 2025 The Cost of Bad Data: What Is It Really Doing to Your Business? Inaccurate or outdated data doesn’t just cause small hiccups. This can severely impact your bottom line. It slows down your teams, leads to expensive errors, and creates serious compliance risks. The good news is that these challenges are avoidable. TimeXtender
25 April 2025 Game-Changer in Qlik: Set Analysis Now Works WITHOUT Using It’s Syntax! Discover Qlik Cloud’s latest feature that lets you apply object level filters without writing any set analysis syntax. A simpler and faster way to build dashboards, especially for non-technical users. Read more in this blog post. New Release Qlik
23 April 2025 When Everyone Has Different Numbers: Why Data Alignment Matters Different teams, different data, different results. This post explores how misaligned data leads to confusion, and how TimeXtender helps bring everyone back to the same page. TimeXtender
16 April 2025 The Cost of Bad Data: What Is It Really Doing to Your Business? Inaccurate or outdated data doesn’t just cause small hiccups. This can severely impact your bottom line. It slows down your teams, leads to expensive errors, and creates serious compliance risks. The good news is that these challenges are avoidable. TimeXtender