Sisu integration with Looker
You can now kick-off a Key Driver Analysis from a Looker Dashboard. This makes it easier to understand “why” your metrics are changing if you use Looker to understand the high-level view of your metric. Sisu automatically creates the metric and analysis based on the measure and dimensions defined in the LookML of the Explore. Video Demo below.
Setup Looker integration with Sisu, instructions here
Demo Video: Start a Key Driver analyses from Looker:
Live Chat for Support
We now support chat communication inside the Sisu platform for all Support related issues or questions. Click on the help logo (pictured below) to get started and connect with us! We plan to be live 8AM – 4 PM Pacific Time, Monday – Friday with the exclusion of major holidays.
New help pages
We released a new Knowledge Base to provide a cleaner UI and more features to make it easier for you to find the content you need. Check it out here: https://docs.sisudata.com/
[Beta] SAP Hana connector
Sisu now supports data connection through SAP Hana.
API Updates API Key Generator in the UI: Users can now generate API keys directly from the UI. See demo below:
Released API documentation here. This makes it easier for users to understand our APIs and build the scripts/apps they need.
[Beta] Consume Trend Detection results
Just like KDA consumption, customers can now consume Trend Detection results via Sisu APIs. See documentation here. (You will need to select Trend Detection analyses on the right panel)
[Beta] “PySisu” SDK to consume Sisu API results
We just released an initial SDK to show Sisu facts in a clean table view. SDKs make it easier for customers to consume Sisu APIs and build the scripts/apps needed to automate ACTIONS from Sisu insights. You can find it here: https://github.com/sisudata/pysisu
[Beta] Scripts for exporting Sisu Facts into Snowflake
Leveraging the Sisu API and Airflow, we now have scripts to help customers export Sisu facts programmatically into Snowflake (other CDWs can be done on request). Find them on Github: https://github.com/sisudata/sisu-airflow
Updated chart tooltip to show trend slopes before and after trends change
Added explicit error handling when no time dimension is selected
Improved the trend detection algorithm to truncate the number of facts being returned to the web app based on fact quality (determined by various factors such as slope and impact)
Dimension name styling
Updated fact factor styling in Trends and KDAs so that dimension names are easier to read and percentile range details are more concise
It is now possible to filter by “analysis type” on the project’s analysis-list page
Analysis list navigation dropdown now shows details of the analysis type making it easier to quickly hop to the analyses you need
Dashboard list can now be sorted by “last run”.
When you create a new dashboard, it now lands you at the new dashboard, rather than having to navigate yourself.
Removed the unsaved “untitled query” from the list of sql queries.
Query Preview - now we freeze row headers on top for the table preview.
SQL Queries in the side panel are now sorted by ‘Last Edited’
Member role can be changed to Admin from the UI.
We fixed over 30 bugs recently! Here are a few major ones:
Better error reporting for SQL queries — Customers get the correct line number in which the error occurs when there is an error in the query.
- When creating a Key Driver Analysis from Trend Detection Analysis, filters are preserved and applied to the new analyses
- Dynamic filters and summary periods now populate for all trend detection analysis
Fixed dashboard tile resize handle icon (previously was not rendering)