In my role at Cube I have the wonderful opportunity to interact with our technology partners every day and learn how they see the data analytics world. Most of the job is really working out how you can tell a story to yourself, the rest of your team, and the whole world about how you and your partners’ softwares are better together and how you can solve problems for customers. It’s helpful, of course, if you and your partner see the world in a similar way. The tough bit is when you don’t! In the case of working with Klipfolio, it’s quite easy actually, because we agree on an important item - the power of metrics in analytics.
We both believe that fundamentally, most end users of analytics want answers to questions, not to explore an unrestricted space and build a new dashboard from a blank page. Metrics are the answer to this problem. Metrics help us apply meaning to the data in our data warehouses, relational databases and other source systems by encapsulating verified business logic as well as dimensions that our users might filter or slice the data by. Governing metrics with a semantic layer is a powerful way for companies to guide users towards answering their questions without recreating business logic over and over.
Today, I’m happy to announce that Cube has a fully supported integration with Klipfolio PowerMetrics, a complementary metrics platform that works alongside existing BI and analytics tools to provide a solution designed for non-technical business users. The Klipfolio team have been pioneers of the metrics revolution in analytics for some time now. In many ways, Cube support within PowerMetrics is a natural fit. The combination of Cube and PowerMetrics allows users to unify, govern and optimize their metrics with all of the capabilities of the Cube semantic layer, but also to open the aperture of users who can self-serve and engage with analytics without requiring assistance from analytics engineers, or BI developers.
When using both Cube and PowerMetrics, users can connect to all of the standard data sources within Cube and build their data models - including dimensions, measures and metrics as normal. Users can then browse the metrics catalog within PowerMetrics and interact and visualize the metrics from Cube, alongside other metrics defined in the other patterns supported by PowerMetrics. Metrics provided by Cube can be accelerated by our caching and optional query acceleration features to improve dashboard performance. PowerMetrics provides an intuitive, easy to navigate experience that any business user can quickly pick up and use to answer their questions about the metrics they are responsible for. Documentation for this integration has been provided in the usual location.
To learn more about our partnership with Klipfolio, and the integration between Cube and PowerMetrics, check out our joint webinar on June 18th here. You can also check out the blog posted by the Klipfolio team with more information here.
If you would like to take this integration for a spin, please reach out to the Cube team and we will help get you started.