- Log in and open your Qlik Sense app, and click Data load editor from the top menu.
- Click Create new connection in the Data connection panel on the right.
- Select REST from the connector list.
- Enter a Clockify API endpoint URL (for example, a workspace time entries endpoint).
- In the request headers, add an Authorization header with your Clockify access token, then click Test connection to verify the request.
- Click Create to store the connection. You can now access the saved connection, browse the available tables, and select the ones you want to load into your app.
How to Integrate Qlik with Clockify
Follow this interactive demo to learn how to integrate Qlik with clockify.
📌 Why this matters
Why this matters
Clockify is a popular time tracking tool used by teams and freelancers to log hours across projects, clients, and tasks. Loading Clockify data into Qlik Sense lets operations and finance teams analyze time utilization, project profitability, and team productivity at a level of detail that Clockify's built-in reports do not always support. This is especially useful for service businesses that bill by the hour or need to allocate costs accurately across multiple clients. Centralizing Clockify data in Qlik gives managers a reliable view of how time is being spent and where efficiency improvements can be made.
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