In the latest release, Winter 20, we got a lot of help in creating static steps – or as we will be calling them from now on, custom queries – but it can perhaps be a little hard to navigate how it works. So let’s have a look at these custom queries. First of all, ...
Einstein Discovery accelerates the embedding of augmented analytics in a business user’s work environment. The predictive models are created by the platform using a “No Code AI Approach”, which means that the algorithms to train these models are part of the solution, and don’t need to be coded by advanced developers or data scientists. To ...
As artificial intelligence, and specifically machine learning, is conquering today’s business world, a new way of human machine interaction enters our professional lives. We are more and more guided by predictive models that prioritise our work and give recommendations to improve our business. Once widely adopted, this embedding of so-called augmented analytics can bring tremendous ...
By now we have covered most of the basics in a SAQL query, but there is one more thing that you will see a lot when you are working with SAQL and it is filters. So in this third part, we will look closer at filters. Pre-projection Filters When you apply a filter to a ...
Einstein Analytics dashboard pattern for dynamic Period over Period Analysis using a single date picker.
Highlights:
* Works with a single standard date widget
* Works with absolute dates
* Works with relative date
bonus
Allows switching between \"current period vs. prior period\" (example: Jan-Feb 2019 vs. Nov-Dec 2018) & \"current period vs same period prior year\" (example: Jan-Feb 2019 vs. Jan-Feb 2018)
As you may have figured out Einstein Analytics does not support multi-currency out of the box. If you are an organization that has enabled multi-currency in Salesforce then I am sure you are likely to want to see this in Einstein Analytics. As I said it’s not supported out of the box (at least not ...
I think user adoption is a pretty universal concept in IT and working with Einstein Analytics is not any different. You can spend hours, weeks or months on building great dashboards so your end-users can get some insight, however, if they do not use those dashboards I would argue that it’s been a waste of ...
In Winter 19 I did a two-part blog series on the (at that time) new SAQL timeseries statement. Yesterday I got an email requesting a 3rd part to the blog series looking at what you can do with timeseries directly in the UI, since this has been enabled after the original blogs were written. I ...
In the first part of this blog series, I explained what is SAQL and the anatomy of SAQL. This will be the foundation for the rest of this series. The SAQL query we covered was simply, in fact, there was no reason to write that query in SAQL, which I also mentioned isn’t recommended for ...
When we create dashboards in Einstein Analytics most of us rely on the UI. In the dashboard editor, we click “New Step” select our dataset, define the measure and a grouping whereafter we add it to the dashboard. In other words, with point and click, we can create a great dashboard that gives insight into the data. ...