Welcome to the latest One Model product release update. This article provides an overview of the product innovations and improvements to be delivered on 24 August 2022. You can see the full 2022 release schedule here: https://help.onemodel.co/en/articles/3134972-one-model-product-release-calendar.
Use Time Models as Filters in Explore
Fans of the long running TV series Doctor Who will know that “Time” can be described as “a big ball of wibbly wobbly... time-y wimey... stuff” (https://www.imdb.com/title/tt1000252/characters/nm0855039) … but this doesn’t apply to One Model. We are forever working with customers to wrangle time into different constructs to better understand trends, forecast and analyze how people drive business outcomes across the employee life cycle.
In this release we have added a nice little feature to our Explore tool so that you can now use a Time Model as a filter. Previously when you use a Time Model in a query you would have to display that time breakdown in the chart, but now it can filter your results across the span of that time model. The following example illustrates this.
Using a Time Model in the Traditional Way
Using a Time Model as a Filter
More Responsive Pop-up Windows in Storyboards
We have redesigned the general pop-up window you use for Storyboards to better scale to changing screen dimensions. Most notably this will help when using a mobile device (the example below shows how the drill-through window in a Storyboard is now shown in a full-screen view on the phone), but you may also notice subtle changes for the general web experience. (ref 11058 & 12711)
One AI Innovations
This release marks the start of something really exciting for One AI. One AI is an incredibly powerful platform for building predictive models, but it can be a little daunting to the average human walking around. So, we have been working on a number of guided workflows to help you build your own predictive models using a simple question driven experience that walks you through the process. We call these “recipes”. In this first release we are providing a recipe for Voluntary Attrition (Turnover). This is just the beginning of a new way to create predictive insights…
Platform Improvements & Bugs Squashed
Fixed the Skills endpoint for the Degreed connector to support an inconsistency in the naming conventions from the source API. (ref 12506)
We fixed an issue where some tasks in an API Run would show as Incremental when they were included in a full load. (ref 12535)
We fixed an issue where in some cases, adding a second metric to an Explore query could cause the first metric to incorrectly return 0 for some time periods. (ref 12418)
We improved our support in the Workday V2 connector for Transactions that apply to multiple workers. (ref 11919)