This blog covers some of the latest new features and enhancements in SAP BusinessObjects Cloud and SAP Digital Boardroom release 2016.23. Please refer to the release notes for more details.

Highlights of this release include:

Core: Data Acquisition & Integration

Larger Excel and CSV file uploads from Google Drive and scheduled from a file server

In Release 2016.20, we increased the file upload size limit to 250 MB for CSV files, and 100 MB for Excel files. Now in Release 2016.23, this same upload size limit has been extended to uploads from Google Drive as well as for scheduled file uploads from a file server.

  • As we are working to bring you improvements with every release, be sure to check the “System Requirements and Technical Prerequisites” page in the SAP BusinessObjects Cloud Help under the “Data Connectivity – Import” section for the latest updates.

Improved query builder UI for data acquisition

We’ve made a few improvements to help you more easily build queries for importing data into new or existing models, including:

  • The name of the data source is now shown in the query builder title (1)
  • You can search for available fields by clicking the magnifying glass icon (2)
  • You can click the wrench icon to change how metadata names are displayed: Description, Description and ID, or ID (3)
  • You can drag the handles to resize the Available Data, Selected Data, and Filters areas (4)

Core: Modeling

Set the visibility of members of the account dimension

As a modeler, you may at times need to create an intermediate calculation based on measures that can be used as the input for another calculated measure. You now have the option to hide these intermediate calculated account members if you don’t want other users to add them to their stories.

Core: Data Analysis, Stories, and Tables

Create tables with data from different models

You can now link multiple models to create blended tables in the Story environment. These tables have the ability to show accounts and measures from the linked models.

Synchronize colors for a dimension across multiple charts

If you have multiple charts in a story that show the same dimensions, it makes sense for the dimensions to be displayed in the same color so that they’re easily recognizable from one chart to the next. You now have the ability to sync and unsync colors for linked dimensions in individual charts. Please note you will need to have common color dimensions for your charts in order to synchronize colors.

Dynamically set the minimum and maximum on a chart axis

By default, you start with zero as the minimum axis value on a chart with all positive values. But what if you have values that are all significantly above zero? In this release, you have the option to let the application dynamically set the min/max for you based on the data that is currently displayed in the chart. That way, your chart will adjust itself even when, for example, you decide to apply a new filter. The option to dynamically set the minimum and maximum can be done for the x-axis and y-axis separately.

Day and week granularity for story and page filters

Now in addition to year, half-year, quarter, and month, you can choose week and day granularity (assuming your model has these levels of granularity) when you create a filter on a date dimension.

Include model variables in the appendix of a PDF export

To help you understand the context of your story, story-wide and chart-specific variables are now included when you export to PDF with an appendix.

Core: Location Analytics

Support for the exclude filter on geo maps

You can now include or exclude data points on a geo map when you are using the polygon filter or choropleth layers. We have also added support for linked analysis on your geo maps.

Planning

Allocations: Use the Assign feature to allocate a value across multiple cells

The Assign feature is one of three different ways you can allocate values in a table to one or more target cells. In this release, you can use the Assign feature from the Allocate Values menu to choose an amount to assign as well as a target dimension and hierarchy level. Additionally when you use this feature, you can choose to either append or overwrite values in the target cells.

Value Driver Trees: Identify nodes with overlaps

The value driver tree is a powerful tool you can use for budgeting and forecasting based on different scenarios, and to explore the relationship between drivers like head count and average contract value. Now, you can more easily see if any nodes have overlapping outputs; you’ll see a warning icon for each node that outputs data to the same account and has overlapping filters.


Additional resources:

Previous feature summary blogs:

 

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