June Release Notes

Aunalytics is excited to announce the June 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

Natural Language Answers™ Model Updates

As part of Aunalytics' ongoing commitment to enabling users with little or no technical background to get answers from data, the algorithm powering Natural Language Answers has undergone an update. This month, the newly retrained model powering natural language search has new capabilities:

  • The model better understands questions with multiple concatenate conditions. For example, "Show me a list of female customers in Indiana with mortgage loans." Previous versions of the model would not always identify all of the conditions present in questions like this (e.g. Customer_Gender == 'female', "Customer_State == Indiana", and Customer_HasChecking == true) and instead return a query with only one or two of the conditions. Users can now experience better results when asking questions with multiple conditions.

  • The synonyms dictionary now understands state abbreviations in addition to their full names. For example, questions like "Show me customers in MI" is now interpreted as "Show me customers in Michigan".

In-App Tooltips and Guided Tutorials Framework

This month, Aunalytics is integrating a new user experience framework to provide in-app tooltips, help content, and guided tutorials for new features. Once this framework is released, new content will be released periodically to enhance a users's experience with the app. New users will see overlays in the app providing information and first steps to getting started with the app. Afterwards, content tailored to a user's history of engagement with the app will appear when a user uses a new feature for the first time or hovers over certain elements in the app.

Aunsight™ Golden Record

Destination Timing Options for Transactional Workflows

Earlier this year, Aunalytics released transactional workflows (TXWF) for the AuGR data integration platform. Transactional workflows are managed workloads that intermittently query a data source from the cloud to see if data on the source has changed, and to request that new data in order maintain data in sync across a connection. TXWFs normally waits a small amount of time for the source system's to report itself in an idle state (idle time sync) before it initiates a transfer of new data. The purpose of this idle time waiting period is to allow the source system to commit all changes to its journal before syncing.

However, to better accommodate source systems that may experience long periods of active change without falling out of sync, TXWFs now support a max sync interval setting that defines the maximum amount of time AuGR will wait for the source system to go idle before it requests a transfer of new data. Max time sync therefore represents the maximum amount of time AuGR will wait before requesting new data, even if the data source is still processing new changes to the data. This enables data pipeline creators to better anticipate how much time could pass between syncs and decrease the tendency for high-load systems to remain out of sync with AuGR for long periods of time during periods of high-load.