We all know that using up-to-date and correct data is crucial to support informed decisions. This is why we are introducing Data Policies in HoriZZon to make it easier for you to carefully delegate responsibilities across your organization. This move will ensure high data quality, as well as support the creation and consumption of trusted analytics. Data policies are a set of rules that help to determine who (either a user or group) can edit Data blocks associated with an object or a specific Data block. In addition, you can set update schedules to keep the data fresh. Based on the update schedules, automated data update tasks will be sent to the people that are responsible for maintaining that data. In this blog post, I will tell you more about getting started with Data policies and will also provide some insights into our future ambitions with Data policies.
Setting up Data policies is very easy. Once the change is in effect, a model package’s menu will start featuring a new item, “Policies”. On this page you can create new and/or edit existing Data policies.
Now, if you want to make sure the data is refreshed regularly, what you can do is specify a Data update schedule. Setting a Data update schedule will result in a data update task for the specified editors.
To ensure that the Data policies are being applied you need to indicate whether you only want to allow specified editors to be able to edit the data or you want all contributors to be able to edit the data. This can be done on the package management page.
We will keep developing on this new capability and will launch additional features in the near future. I will keep you posted on these developments in one of my next blogs. In the meantime, if you’ve got any questions about Data Policies or Data Update Tasks please let me know by dropping me an email.