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This blog post covers some of the latest features and enhancements in SAP Analytics Cloud and SAP Digital Boardroom Release 2021.11.

Please note that the SAP Analytics Cloud Help documentation is updated at the same time as the upgrade to this release, so the links here may not yet reflect what is described below until after the upgrade is complete.

Upgrade your SAP Analytics Cloud agent to the latest agent version 1.0.323 to take advantage of all the data acquisition types!




If you haven't upgraded yet, here are the data acquisition minimum requirements:

  • Version 1.0.99 for SAP ERP / SQL databases

  • Version 1.0.235 for SAP HANA view

  • Version 1.0.91 for SAP Universe (UNX)

  • Version 1.0.233 for SAP Business Warehouse (BW)

  • Version 1.0.248 for File Server

  • Version 1.0.75 for all other data source types

For more information, see the  System Requirements and Technical Prerequisites.

SAP Analytics Cloud fully supports Microsoft Edge and Google Chrome for all activities and areas of SAP Analytics Cloud including viewing, authoring and administration.


Highlights of this release


This blog post provides a high-level overview of the latest features in SAP Analytics Cloud. If you're looking to get more information about these features, please visit the Help documentation here. 


Dashboard & Story Design


Data Visualization

Support Independent Rank on Single Dimension with Multiple Dimensions on Charts

Users are now able to rank on a single dimension or condition when there are multiple dimensions in use on a chart.

Optimized View Mode Incremental Update

As of version 2021.11, View Mode now supports the following features once a story is resaved:

  • Story Data Refresh (excluding Metadata Refresh)

  • Cross Calculations for Charts (excluding Cross Calculations Input Controls)

For additional resources on Optimized View mode, please see below:


Extended Planning and Analysis

New Recurrence Pattern for Calendar Tasks: Minute

Calendar tasks can now be set with a recurrence pattern by the minute; The minimum time interval is every 5 minutes. Note a recurrence by minutes can put extra load on the system. To avoid unnecessary system load, automatic tasks with preceding task occurrences that are still running will automatically be cancelled.


Analytics Design

Bookmark Property Support with Script API

Application developers may now add properties to a bookmark in one or more key-value pairs via script API when saving a bookmark.


Application consumers may now define and load the default bookmarks, in addition to saving and loading bookmarks with the additional property information.

Opening Bookmark/Application Sharing Dialog at Runtime

Users may now very conveniently sharing the application and bookmark with others at application runtime. This change provides new script APIs which open:

  • The application sharing dialogue

  • Bookmark sharing dialogue for personal bookmarks


An additional change is you may now customize the link to a shared application or bookmark by setting additional URL parameters. Note users must be assigned sufficient rights to share applications and bookmarks.


Analytics Cataloging

Requesting and Granting Access to Content in the Catalog

Content metadata can now be published to the Analytics Catalog for all users in SAP Analytics Cloud without granting access rights. By decoupling the ability to view metadata of the object from the rights on the object, all content can be discoverable by end users. This feature will enhance the findability of content metadata, eliminate manual work for end users to get access, and simplify the administrator workflow on managing access requests.

Surfacing Catalog View in Creation Workflow

Models and datasets are available to be published in the catalog, and are now surfaced in the creation workflow in the model selector dialog. Users can select published models/datasets for story creation and stories for digital boardroom creation through the catalog view in the model selector. This feature will solve governance issues of users working with unverified content and encourage end users to consume published models as IT verified content.

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