In the first part of this blog series, we covered the anatomy of a binding by looking at each component. Now, to be honest, most bindings you will write, at least in the beginning, will be using the data serialization functions .asString() and .asObject(), as they cover the most common use cases and is all you need ...
Creating dashboards in Einstein Analytics is easy and it becomes yet easier with every release. But sometimes you want your users to have even more dynamic controls in the dashboards and this is when you start introducing more advanced functionality like bindings. If you are new to Einstein Analytics or even if you have been ...
In my last post, I introduced one of my highlights from the Einstein Analytics Winter 19 release timeseries – the ability to predict future trends based on your data. We looked at the basics around the SAQL ‘timeseries’ statement as well as the ‘fill’ statement. Now I am not done with this topic, because there are more ...
It’s Winter 19 release time! And that means we get some new awesome features in our production environment! One of the things I am excited about is the new timeseries SAQL function. Why? Well, if you look at trends when it comes to big data it is all about machine learning and AI. Einstein Analytics haven’t really ...
Several have asked me “how do we do the dynamic gauge post Summer18 release?”. Why? Well, when the gauge chart was released I wrote a blog on how to make the ranges dynamic; a great use case for actual vs. quota. On top of that, it was often a question I got when I worked with ...
You might have heard of ‘XMD’ working with Einstein Analytics. But do you know what it is? First of all, XMD stands for ‘Extended Metadata’ and it a set of instructions that defines how a user visually see your dataset. Meaning once you apply these instructions every lens or dashboard leveraging this dataset will see ...
So who doesn’t love conditional formatting? Amazing how such a “simple” feature can generate so much excitement. Summer 18 has been out for a few weeks now, so I assume as an Einstein Analytics user you have already played around with the functionality. Of course, it’s great that you can modify the colors in all your ...
Note! From Summer 19 filter logic is available without SAQL Filters are a great way to segment your data to get valuable insights, since having too broad a view do not help you understand the details of what is going on in your business. Einstein Analytics makes it easy for you to drill in and ...
A few releases ago Einstein Analytics introduced pages as a beta feature, however, in Summer 18 this will be generally available. This also means that we will be able to have up to 20 pages on a dashboard, where we during the beta period only had 5. You may be wondering why should you use ...
Note: it is now possible to bind to columnMap, check out more in this blog. You can still set columnMap to null as described in this blog. With Salesforce’s Spring 18 release they introduced a new parameter in the Dashboard JSON called columnMap. While Salesforce has good reasons to introduce this – more on this ...