September Release Notes

Aunalytics is excited to announce the September 2021 release to our clients. This release will provide clients with model and site enhancement information along with any fixes to existing functionality we have included.

Daybreak

New Landing Page

This month Daybreak users will be greeted by a new landing page when they log into the app. This new landing page provides useful information such as the five most recently used queries, links to documentation and support, and notifications in one centralized dashboard.

Additionally, the new landing page framework enables future enhancements as they are planned or requested by our users. We're very excited for you to discover the new landing page interface. Check it out today by visiting Daybreak today!

Resource Center

This month, we are releasing a new help and interaction feature for the Daybreak app: Resource Center. The resource center will replace the existing documentation link in the upper right corner of the screen with a dynamic, context-aware help and support feature for Daybreak users. The resource center provides a searchable interface to our product documentation site, and will continue to be tailored to provide focused documentation based on where a user is currently interacting with the app.

Currently, the basic documentation overview pages are linked, but this content can be individualized for users based on their solution and context in the UI (e.g. when a user is in the SQL builder, documentation links will show relevant content for that feature).

Check out the resource center by clicking the question mark (?) in the lower right hand side of the app!

Natural Language Answers Model Retrain

This month we are releasing a newly retrained model for Natural Language Answers™. This month's changes include new synonyms to help adapt the model to the ways users are phrasing questions about their data.

• "Members" is now interpreted as "customers": “Show me all members” will now show records from the Customer table.
• “Customers with accounts acquired with no campaign” now references the AcquisitionType column in the Account table
• "Business" now is equivalent to "non-personal" (one of the values for Customery_Type in the Customer table). “Show me all business customers” will return records in the Customer table where Customer_Type equals "non-personal".

New Feedback Options for Natural Language Answers

This month, users of Natural Language Answers have a new way to improve that feature through feedback. Previously, when a user clicked the "thumbs down" to indicate that a question was not understood properly, they would be asked to provide a free text description of the problem. Now, users can select a category before providing a specific statement of the desired results. The categories include:

• My query wasn’t fully parsed
• My query was interpreted incorrectly
• The data results were wrong
• My query had a typo
• Other

These categories help the Innovation Lab team understand the type of problem you're facing and will enable better fixes and improvements to Natural Language Answers in the future.

Aunsight™ Golden Record

New "Unity" Backend for Golden Record Allows a New Matching Feature: Grouping Leniency

Some tenants using AuGR will now have the option to enable a new backend that offers improved performance and allows a new Matching feature called 'Grouping Leniency.'

Grouping Leniency is a new match step option with three methods that determines whether a new data point is allowed into an existing match group. The platform calculates the distance of the new data point and allows it into groups based on one of three methods, minimum, average, and maximum.

• Minimum - This method determines match group eligibility by comparing the distance between the new data point and each data point in the existing group and uses the lowest distance as the distance score. If the distance score is equal to or less than the required distance configured by the user, then the data point will be allowed into the group, otherwise it will not. If a data point is eligible to enter multiple existing groups, then it will enter the group with which it has the lowest distance score.

• Average - This method determines match group eligibility by comparing the distance between the new data point and each data point in the existing group and use the average distance as the distance score. If the distance score is equal to or less than the required distance configured by the user, then the data point will be allowed into the group. If a data point exists such that it is eligible to enter multiple existing groups, then it will enter the group with which it has the lowest distance score.

• Maximum - This method determines match group eligibility compares the distance between the new data point and each data point in the existing group and uses the maximum distance as the distance score. If the distance score is equal to or less than the required distance configured by the user, then the data point will be allowed into the group. If a data point exists such that it is eligible to enter multiple existing groups, then it will enter the group with which it has the highest distance score.

Fixes, Improvements, and Enhancements

• Users will now have the option to add one or more tags to be added to all objects uploaded to S3 when utilizing a Transactional Workflow.
• The default schedule for newly created Transactional Workflow jobs is now 'On Demand' instead of 'Every 30 Minutes.'
• Derived properties are no longer available in matching property dropdown menus.
• The platform will no longer return an error when a user attempts to run profiling against an empty schema.
• Improved error handling data type formatting to allow for proper Null/Invalid value handling configurations on mapping.