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This blog covers some of the latest features and enhancements in SAP Analytics Cloud and SAP Digital Boardroom release 2020.09. 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 1.0.273 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:

Learn with our latest video tutorials

  • Create a model from SuccessFactors Workforce Analytics
  • Apply filters to a chart in a story
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  • Full tutorial playlist >

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. 

Data Visualization

Paste Filter Values in Story and Page Input Controls

Both story viewers and designers can now make changes to story and page filter selections faster, especially when working with a large list of values. Simply copy and paste filter values into the input control to either overwrite or append the existing selection when working with Acquired and HANA live Models.

Remove Member Count Limitation for Input Controls Based on Flat Dimensions in BW

Story Designers can now create story, page, and Digital Boardroom topic filters with more than 4,000 members with BW live Models and other data sources on flat dimensions. This means that you can now access all of your input control members without any limitations, allowing you to easily access all the information you need.

Growing Tables

For business reporting needs, it is essential to have a full picture of your dataset. That is why we integrated the new growing tables feature available in the Canvas. With this feature, you can now automatically resize the table vertically to view you canvas in full height. This simplifies your viewing experience as it allows you to get a full picture of your whole dataset without having to scroll too much.

Analytics Designer

Select Multiple Widgets

Exciting news! We’ve made some design time enhancements to improve your work efficiency when designing analytical applications. Now, you can select multiple widgets and move these widgets around the canvas in unison. You can also set common properties for the selected widgets, providing you with more flexibility when designing your analytical applications.

SetStyle API

Plain widgets were so last year! It’s time to add some style to your bland widgets. Now, as an application designer, you can use the setStyle API to dynamically customize the style of your widgets including font color, background color, shapes, and much more, all at run time. The widgets that are supported in the setStyle API are text, input field, text area, and shape widgets. This customization is particularly useful for when you are working with conditional formatting scenarios.

Create New Dimension Members Using Planning Model APIs

Did someone say more flexibility when designing planning interfaces? You heard right. We are now providing script APIs that will help you create, update, and delete dimension members on the fly.

Here are the new APIs that are offered:

  • PlanningModel.getMember();
  • PlanningModel.getMembers();
  • PlanningModel.createMembers();
  • PlanningModel.updateMembers();
  • PlanningModel.deleteMembers();

Access an Analytic Application from a Calendar Task

You can now integrate your analytic application into the calendar task workflow. This impacts each task role as such:

  • As a task owner, you can define your analytic application as a work file.
  • As a task assignee, you can access the application from the calendar task and choose whether to submit, reject, review or set the progress of the task in the application.
  • As a task reviewer, you can access the application from a calendar task in which you can accept or reject all actions in the application.

 

Optimize the Startup Performance of Analytic Applications

It’s time to speed things up a bit! You will now be able to automatically load all invisible widgets in the background either through the Analytic Application Setting Dialog or the Application URL parameter: loadInvisibleWidgets=inBackground. This new feature will not only improve the performance of your application but also speed up the initialization time.

Application.getInfo() API

You asked and we listened! Application designers will now be able to use the Application.getInfo() API to access information regarding your application including the ID, name, description, and URL. Now, you can find all your application information in one, central place.

Smart Assist

Predictive Forecast on a Planning Model at Y/H/Q/M Time Hierarchies

Currently, SAP Analytics Cloud allows you to run a predictive forecast on a monthly, quarterly, half-year, and yearly basis. With SAP Analytics Cloud Planning, you will now be able to run a predictive forecast on a planning model at Y/H/Q/M time hierarchies, even when the lowest level granularity of your model is “Day.” This provides you with more flexibility when you are working with predictive forecasts for planning models with different time granularities.

Enriched Smart Insights for Formulas

We’ve enhanced Smart Insights for formulas! First, you can now hover over a measure to quickly see its corresponding values. The second exciting enhancement is that you can now trigger Smart Insights from Measures in the Smart Insights Panel. These insights are automatically generated, which helps you and your business increase efficiency when working with formulas.

Smart Insights on a Data Point Calculated Using the MIN and MAX Aggregation Types

You will now be able to get Smart Insights on a data point that was calculated using the MIN and MAX aggregation types. With this enhancement, you can access useful insights for more calculation types.

Smart Insights on Data Points that Represent Account Dimensions

Currently, SAP Analytics Cloud supports Smart Insights on data points representing account dimensions which have Income (INC) and Expense (EXP) as financial account types. We are extending this support as you will now be able to receive Smart Insights on data points that represent account dimensions which have Liabilities & Equities (LEQ) and Assets (AST) as financial account types. With this enhancement, Planners can access valuable insights for more financial account types.

Planning

Build Value Driver Trees Within a Story

You can now build Value Driver Trees in a story. Here are some exciting key highlights of this new feature:

  • Choose any display time granularity: Now when building a Value Driver Tree, you can choose any display granularity you would like.
  • Supports Story Calculations: You can use story calculations for your accounts or cross calculations, providing you with more control over your accounts.
  • Supports Analytical Models: You can build a Value Driver Tree based on an analytical model. Note: You do not need a planning license.
  • Independent Node Configuration: Each of your nodes can be configured independently, displaying its own versions, cross calculations, or filters.
  • Default Node Configuration: You can now design Value Driver Trees even faster by providing a default mode configuration.
  • Select Multiple Cross Calculations for One Node: Nodes can display any number of cross calculations.
  • Collapse and Expand Nodes: You can collapse your subtrees to make your Value Driver Trees more compact.
  • Drag & Drop Linking: Connect nodes through drag and drop.

Planning Panel

The data entry process can be quite time-consuming and tedious, especially when you are working with complex planning scenarios that involve spreading, distributing, and assigning operations. It’s time to part ways with spending countless hours during the data entry stage because we have created a tool that will allow you to execute your planning scenarios with ease. We are excited to introduce the Planning Panel in SAP Analytics Cloud!

The Planning Panel is an all-encompassing tool that enables you to quickly and effectively execute your ad hoc planning scenarios all in one united, consolidated platform. From providing recommendations for typical planning scenarios to distributing values along multiple dimensions at the same time, the Planning Panel has got you covered for all your planning needs.  

The Datediff Function

The Datediff function is now available for advanced formula steps in Data Actions. With this function, you can easily calculate the difference between two dates at a specified granularity.

Define In-Cell Charts and Thresholds

For BW queries, you can now define in-cell charts and thresholds for the second structure. In other words, you can now define both of your dimensions as a number definition dimension. This helps ease the setup of in-cell charts and thresholds for tables on BW queries in SAP Analytics Cloud.

 

 

**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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