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Fall 2023 (4.3)
- All Categories
- What's New
- Release 3.8
Release 3.8
Updated by Hardik Chheda
We are thrilled to announce our newest release, 3.8. In this release, we've introduced Live Insights, Support for tablet devices, and many more features across the board. Read more below!
Search
Live Insights
Live Insights automatically analyze millions of data combinations without extracting/moving the data from its source. These insights are available for Trend Insights, Cohort Insights, and Anomalies.
Identify changes in trends: You can diagnose why important metrics and key performance indicators are changing.
Compare cohorts of data: You can identify the underlying key differences between different groups and cross-sections of data by Cohort Analysis.
Detect Anomalous Changes: Anomaly detection is a process to identify anomalies in time-series data sets that differ from the norm. You can proactively uncover unexpected shifts by having the system continuously monitor data to highlight anomalies and the underlying reasons at a granular level.
Learn more here
Display Names in Search Guide
Search Guide now uses the display names instead of original column names wherever available.
Learn more here
Vizpad
Support for tablet devices
Tellius has introduced touch-enabled menu-based interactions for devices such as iPad and other tablets. The changes will be most visible in Vizpads and Search modules.
Learn more here
Improvements to Conditional Formatting
Instead of using theme colors, users can specify the hex code (#ffffff) to update the background and text colors in any chart.
Learn more here
X/Y axis Target Lines
Users can add X and Y target lines for measure columns in the Scatter chart.
Learn more here
Unique name for Vizpads
Users need to provide a unique name to save new Vizpads. Auto-generated default names cannot be used. Learn more here
Improvements to Vizpad Performance
Major improvements were made to Vizpad performance, including lazy loading of charts as well as grouping many other interactions calls.
Data
Download Business View, Dataset, and Insights for Live BV
Users can download various objects, such as Datasets, Business Views, and Insights for Business Views with Live connectivity.
Learn more here
Admin
Change Start Day of the Week
Chart results for date resolution queries are based on the time configuration set up for the environment. This date is used to mark the start of a week for time-based calculations.
Learn more here
Customize Help
Administrators can customize the Help experience by providing links to custom assets such as internal documentation and videos. These custom links/assets replace Tellius provided help and videos that currently assist the users in understanding the product.
Learn more here
Assign User Objects
Users can re-assign their content to a different user. Transfer of content ownership is critical in cases when a user is being removed from the system. Before transferring ownership and deleting a user, the preview pane lists out all the content owned by the user.
Learn more here
Enable In-memory operations on Live sources
This configuration enables in-memory operations such as Discover, Insights, and ML on Live Business Views.
Learn more here
Minimum Effective User role for Sharing
The minimum effective role for sharing configuration determines the lowest level of role needed to share objects between users. Any user with a role below the level of the effective role will be unable to share content.
Learn more here
Users with the View role are restricted from creating Alerts
In Tellius, a role is a collection of permissions allowed to any specific user or group. Every user is assigned a specific role and they can perform a set of operations.
Users with the View role can view objects that are shared with them. Such users are now restricted from creating Alerts.
Update Time-to-Live for Caches
Time To Live (TTL) is the time that Tellius stores an object in a caching system before deleting or refreshing the cache.
- TTL for non-live Business Views is set to 30 days
- TTL for caching the query results for Live Business Views is set to 60 minutes
After TTL, the cache is removed and the queries are executed directly on the Datasource.
Insights
Improvements to Insights Algorithms
When measures are ratios or averages, there are cases where the absolute change can be on the higher side, but the impact of that on the overall change between the two time periods or cohorts can be very small due to low population. Our prior algorithms highlighted potential top contributors based on the absolute difference.
With 3.9, we've updated our Insights algorithm. Impact scores for potential top contributors that represent a very small amount or a very large amount of the data are considered as not interesting and hence suppressed. This modification includes an exponential decay factor below a certain low population threshold and above a certain high population threshold. The exponential decay has a similar effect to simply filtering out candidate top contributors outside of these limits but allows for smoother suppression around the limits.
For example, in case of `Change in average interest rate` between Q1 and Q2, the top contributor based on the absolute change might be "state = XYZ", but the number of loans associated with that state might be 0.01% of the overall data. Such low population contributors will be filtered out with the updated algorithm.
Fixed Issues
Version Updates
- Log4j version (existing version number) is updated to the 2.7.1 version to remediate vulnerabilities in the older version of Log4j.
- Delta Lake JDBC driver updated from (existing) to 2.6.22 to address Log4j issues.
- Spark updated from 2.4.5 to 3.0.3
- Python Upgrade to 3.8.15
Retain predictions when adding/updating calculated columns
If a Model prediction is applied to the Business View, it adds prediction columns to the BusinessView, which can be used for visualization or further analysis. These columns were removed when adding or updating calculated columns to such a business view. This issue has been resolved.
SSO users added to the Usage Data Model
New users created using SSO were not added to the Users table in our Usage Data Model. This issue has been resolved.