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This blog covers some of the latest features and enhancements in SAP Analytics Cloud and SAP Digital Boardroom release 2020.14. Please note that the 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 1.0.281 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 1.0.75 for all other data source types

For more information, see System Requirements and Technical Prerequisites.

Highlights of this release:

This blog 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.

Smart Predict

Moving Predictive Scenarios to Files Area

In SAP Analytics Cloud, predictive scenarios can now be moved from the Browse Predictive Scenarios area to the “Files” area into a selected public folder. The Predictive Scenario Migration feature supports single filter values, multi filter values, and range values. This update provides you with a layer of security when working with your predictive scenarios as you can decide which scenarios are visible to your teammates or to specific users.


Synonyms in Search to Insight on iOS

Quickly find the answers to your business questions right at your fingertips. iOS Mobile users can now view and define synonyms for measure and dimension names, which they can then easily search for in Search to Insight. The synonyms created will appear in the Search to Insight autosuggestions along with other measures and dimensions. This new enhancement will provide more customization that is tailored to your business when searching for your answers on your mobile device.

Analytics Designer

Subscribe to an Application’s Top N Data Change Insights (Beta)

For analytic application users, you can now subscribe to an application’s top N data change insights either through notifications or your email. You can set the subscription to notify you by day or week depending on your SAP Analytics Cloud scheduling infrastructure. This new capability allows you to easily and quickly retrieve the most important and relevant insights on your data changes in your analytic application.

The data change insights will be delivered as a technical component with the corresponding script APIs:

System Runtime Messages

Have you ever gotten a system runtime error message but didn’t understand why? To provide more clarification, Analytic Application users will now be able to receive more details about system runtime messages for failures and error messages. This information will be displayed in the calendar for a scheduling tasks regarding the following scenarios:

  • Export to PDF technical component is missing
  • Variable input dialog is open for user input and blocks the workflow
  • The script execution failed due to an error
  • Error occurs during the export of a pdf
  • The selected bookmark doesn’t exist anymore
  • Error occurs during processing Data Change Insights
  • When an applications developer forgets to use the Scheduling.publish() script when scheduling in manual mode

Platform Services

Check Maximum Number of Publications per hour

In SAP Analytics Cloud, you can now check the maximum number of scheduled publications per hour based on your license under System > Monitor > Overview > Maximum number of Publications every one hour.

Copy an Instance of a Schedule

It’s time to simplify your workload with this new enhancement. You can now copy an instance of an existing schedule from the calendar and reuse it with new date and time. By default, the existing values of the scheduling parameters are available and can be modified after copying the schedule. This feature will help simplify your workflow, particularly when you want to copy and rerun a failed schedule with the same parameter or copy a schedule and modify some of the parameters.


Administration & Infrastructure  

Performance Statistics in SAP Analytics Cloud

Have you ever wanted to identify which of your SAP Analytics Cloud models have the highest impact on your connected backend systems? The new Performance Statics feature will do just that!

With this new update, you can get statistics of your highest performing models, which will be aggregated in a dashboard/story directly within SAP Analytics Cloud. You can easily identify Models and Stories that bring the highest load and processing to the backend system, so you can make improvements as needed. The dashboard will contain a variety information regarding Backend (Hana, BW) Runtime Statistics (and distributions), Query Types, most frequent Users, Models, Connections, and more.



**Legal disclaimer

SAP has no obligation to pursue any course of business outlined in this blog or any related presentation, or to develop or release any functionality mentioned therein. This blog, or any related presentation and SAP’s possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information in this blog is not a commitment, promise or legal obligation to deliver any material, code, or functionality. This blog is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. This blog is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP’s willful misconduct or gross negligence.

All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements and should not be relied upon in making purchasing decisions.

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