Month: April 2022

This month, we are excited to bring several enhancements including our updated dashboard user interface as well as improvement scale enhancements and API changes. Please note the “Coming Soon” section announcing an authentication upgrade in May which will require you to reset your password.

NEW

Improved Dashboard Interface

Dashboards found in the Analyze module have an updated interface and several usability enhancements.

• You will now see a single set of filters located and edited within the Dashboard.
• You will now be notified if you attempt to navigate away from a Dashboard or Tile while making edits.
• You can now add notes to a Dashboard for documentation and display the notes above visualization, below visualization or on icon hover. 
• You can now use cross-filtering on a dashboard to click a data point in one dashboard tile and filter the other dashboard tiles on that value. 
• You will now see a scrollbar for both the left-hand dashboard list and dashboard itself so that each can be scrolled independently. 

IMPROVEMENTS

Improvement Scales

The following capabilities have been added for Improvement Scales:

• The Improvement Scale column with Improvement Scale ID can now be exported and imported into the Data Table editor.
• Data Tables with a nested Decrement Table column will now validate that Improvement Scales are not saved without a Decrement Table.
• Table Structures with nested Decrement Table and Improvement Scale columns can now be merged in Change Management. 
• Users can now switch between Improvement Scales and Decrement Tables using the drop down list in the top left corner of the Improvement Scale editor. 

New Projection Field on Explores in Dashboards

In addition to the upgraded interface, you will now find a new “Projection” field available in all Explores for easier projection filtering. The new projection field contains both the Projection Name and ID. 

CHANGES

API Updates 

The API will now provide an informational message on the Patch Projection endpoint when the Model Point File is missing. The API will also support the creation of a projection from a template that has Model Point Filters. 

COMING SOON

Authentication Upgrade

In an effort to continue to provide first rate security and offer enhanced security features such as Single Sign On, Slope will be updating our application’s authentication. As a result, when you attempt to log into the Slope application, you will be required to reset your password (as shown below).  If desired, you may set your new password to match your existing password. 

We are currently targeting a go live date of May 31, 2022 (updated) and will send a reminder email several days in advance of the change. 

FIXES

• The Economic Scenario Generator will now pull the correct US Treasury rates when the “Fetch Rates” button is clicked.
• The Data Table destination drop down in the Confirm Merge Operation Modal will automatically map Data Tables when one of the options in the drop down is a copy of the same table or uses the same name. 
• Stability improvements have been made to prevent projection status failures when calculating goal seeks or running a large number of scenarios. 
• Projections can no longer be modified while running. 
• Dashboards will consistently save after the dashboard edit screen has been loaded for an extended period of time. 
• Projection comparison will load successfully when either Projection contains a deleted product definition.
• The debug view will now consistently load the correct formula when clicking through a single value array. 
• Resolved an issue with the Copy Dashboard functionality in the Analyze module. 

NEW

Improvement Scales

Slope now supports both Standard and Generational Improvement Scales for the purpose of applying a decrement improvement rate. Improvement Scales can be created directly within the Slope interface or imported from an excel file. Documentation on how to create an improvement scale and how the improvement rate is applied can be found here.

Coming Soon: In future releases, users will be able to merge a table structure with a nested decrement table and improvement scale, switch between improvement scales using the drop down list under the improvement scale’s name and see additional validation when editing decrement tables and improvement scales.

New Explore for Comparing Model Points between Projections

The new Model Point Comparison Explore allows users to compare model points between projections for the purpose of identifying differences, including new and terminated model points. This Explore includes both Model Point Fields and Results (variable calculations).

A Left and Right Join Variable Name and Left and Right Projection ID filter is required for this Explore. For the Join Variable Name, select the common variable between your projections’ model points that serves as your unique identifier for comparing data (ex: Policy ID). Then provide the IDs for your two projections in the Left and Right Projection ID filter. Finally, select the fields you wish to display and any filters you wish to apply to the displayed data.  

Note: In Left and Right Variable Results, the Filter only fields filter data before the join occurs. The fields found under Dimensions will filter after the join occurs. 

CHANGES

API Updates

The Post Data Tables and Post Scenario Tables endpoints have been updated to use “name” instead of “description” to match the interface updates. Additionally, the rate limit for the SLOPE API was increased to 10 calls per second. 

FIXES

• The description from the table structure will again display upon hover over a data column on a data table. 
• Improved performance for projections that use large data tables with range lower bound lookups. 
• Empty booleans on data tables will now be treated as false rather than erroring on a projection. 
• Decrement Tables will import without error when they are used in a nested data table following a versioning event. 
• Improved Result Writing stability to reduce the need to restart a scenario. 
• Projection status will no longer fail to update when ‘output all results’ is enabled and the error limit is reached.
• Improved calculation engine stability to increase projection completion success.