Einstein Analytics (EA) and Tableau together offer the world’s leading analytics solution for anyone, anywhere using any data. EA is focused on providing actionable insights in the native CRM user experience and has best-in-class integration with CRM that allows you to analyze all your CRM data in a secure & scalable manner. And then there ...
In this part of the SAQL series, we are going to look at the rollup modifier, which is used to create total and subtotals in your query. Now as with the previous parts of this series, total and subtotals can also be achieved in the UI by using compare tables. Hence just because you need ...
Custom maps are great! I love how you can simply visualize your data in any given way – I’ve previously covered maps with some examples – see here. But some times you may want to delete custom maps; some might be too large and you made a more optimized version or your sales regions have ...
In my experience, a lot of people struggle with creating a good dashboard design. They might be very clear on who they are designing for and what KPIs are needed but the actual design often looks somewhat cluttered and it may be unclear what reading path to take. It should be recognized as a skill ...
If you have been following along in this blog series, I’m sure you are starting to see how powerful SAQL can be joining data as we see fit, but there is more to the story. You can create new derived fields that we already touched upon in part 5 of this blog series, but let’s ...
A little more than a year ago I sat out to demystify bindings (or interactions as they are being called from Spring 20). I wrote a blog series covering data selection, data serialization, and data manipulation functions. It turned out to be quite a few blogs and quite a few bindings as well. I figured ...
I’ve heard more than once than bindings can be hard and confusing. And if I didn’t believe that, then I only have to look at the most viewed blogs I’ve written and my demystifying binding blog series is by far the winner. In the Spring 20 release, it has become a little bit easier to ...
In Einstein Analytics we build our dashboards with datasets that we have constructed and run in the Data Manager. We do this because we want to denormalize our data to improve the performance of our queries. This does, of course, come with a price that we do not have real-time data, though we can schedule ...
Not long ago I took you through co-grouping in my SAQL series, while SAQL is good to know especially when you want to do really advanced stuff, there is no reason why it has to be complicated and in Spring 20 it isn’t (I guess Safe Habour still applies). With clicks instead of manually writing ...
In the last blog of this SAQL series, we saw how powerful SAQL really can be by joining datasets together using the cogroup statement. But we are not stopping there, we can do more powerful stuff. Another way of joining different streams is with the union statement, so in this blog, we will uncover that ...