Custom maps in Einstein Analytics is a brilliant way of portraying your data. I’ve already done a few blogs on the matter (this and this), but all these blogs assume you have the map ready to go. Let’s have a look if you have found a map but it’s not quite ready yet. How do ...
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 ...
Before getting started with creating first your Einstein Analytics Plus Stories, there are some things you need to think through and decide. Typically people are concerned about data, but we will save that for later. But even before rolling up your sleeves and finding and crunching data, the most important pre-creation task is the need ...
When I started working with Einstein Analytics in 2015 needless to say not many knew much about Einstein Analytics. In the past couple of years, the DataTribe as we call it has emerged and we have grown in numbers. I find many more being knowledgeable on Einstein Analytics in terms of visualization and data prep, ...
So I decided to fire up my old computer with a very old version of Adobe InDesign so I could go back in time and create an infographic answering the question “Are you ready to build your dashboard?”. If the answer was “No” to any of the questions I would recommend checking out the Einstein ...
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 ...
When you are new to Einstein Analytics and you for the first time have to build a dataset it may go alright, yes there are a few new concepts to understand especially the grain level (or root object) but you can manage. When it comes to making additional modifications in the dataflow afterward that’s where ...
This year Marketing Cloud made some changes to their authentication, the connector we had and still have in Einstein Analytics used the old authentication. Now if you have an installed packed from before summer of 2019 you are okay to use that with the connector we have in Einstein Analytics. But what if you do ...
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 ...