If a customer has highly sensitive data and really needs the most controls from an access standpoint, does Anaplan recommend….
It depends upon how that data needs to be consumed. If that data needs to do some analytics in the spoke model, then you can store it in a different workspace and pull the aggregated values into the spoke, This way, your data is secure and you're getting required insights from it in the spoke.
Bifurcating your workspace facilitates the ability to control your admin access - for example you may allow more builders/admins in a DEV or less sensitive workspace while limiting access on an as needed basis for more sensitive models.
Typically, a customer will only have a single tenant.
Below is a quick view of different levels of security within Anaplan, you can use a combination of tailor the user's experience to only see data which is appropriate for their usage:
Thank you for the responses. I still feel like having a seperate tenant for ultra secure data offers an additional level of security.
Senario A - If you split a sensitive data model into another tenant (meaning 2 total tenants), you might be able to have only 2 tenant admins in other tenant due to it being smaller. Meaning 2 people who have power to give people access to sensitive data
Scenario B - You have 4 tenant admins in 1 tenant that has sensitive data. These 4 tenant admin are needed given the size of the organization. Those 4 tenants could give access to the sensitive data workspace.
From a security standpoint, scenario A is more secure.
Hi all, The Client ID and Client Secret are available, intended for uploading and downloading files. Could anyone advise how to use these credentials DIRECTLY to make API requests? Thank you!
I have A6 as the parent list and two sibling lists: A6.5 and A7. The A7 list includes an attribute that maps to A6.5. In the UX, the user will select A6.5 using a content selector, and the grid (dimensioned by A7) should display only the A7 items associated with that selected A6.5. Since the selector is a page context and…
A quick reminder of the Bulk Copy functionality. Bulk Copy allows you copy large volumes of data from one slice of a model to another in a single, optimised operation, instead of using formulas or imports. Use case: copy a version (RF1) into a prior year version (PY RF1) using a versions list to allow for year-on-year…