Improved the UX by re-implementing the dashboard in react. The dashboard app now flickers less and renders quicker.
Improved the drilldown results for non-additive KPIs (like CPC, AOV, Conversion rates).
In the KPI breakdown tab, you can now roll up the results by a coarser time granularity. For example, you can get daily or weekly KPIs for hourly dataset.
The dimension heatmap is now more useful. It will now show a dimension row even if there is an include/exclude filter on it.
Improved the chatbot interface by adding a list of suggested questions. We used an LLM to generate this list.
Made SEO updates on the website (added solution pages, comparison pages, data sources pages) and the docs site
Renamed pivot heatmap to KPI heatmap. Added support for derived KPIs and dimensions with lots of values. Blog post.Video.
Added support for history and internal tools to the chat interface. Whitelisted users can query their data as well as drilldown on changes, using natural language. We leverage LLMs as orchestrators. Blog post.Video.
Deployed a pivot heatmap feature that works for additive KPIs.
Launched an early version that lets users query their data in natural language, using LLMs.
Allowed pivot calls on a time dimension.
Added links to partner pages, plus created a partner page for Google Cloud.
Enabled pausing imports in the dashboard UI.
Enabled accepting dataset alias when constructing detections.
Launched an early version of a chat box to answer a user’s query. The chat box leverages generative AI to answer queries in English.
Launched a feature to let users adjust their import schedule.
Setup an early version of AWS Athena in production with one customer.
Added documentation to obtain results from overview and drill-down calls as json.
Sorted the dataset list.
Added support for importing CSVs, where the field names contain commas.
Launched an improved overview table. Now supports sorting based on KPI values and filtering based on dimension names. Implemented in React.
Implemented a JSON endpoint to query anomalies.
Moved the root-cause KPI table to react. Added KPI search for the KPI root-cause table.
Updated the size of a cell in the heatmap to accurately reflect its contribution. Updated the size of the OTHERS cell accordingly.
For derived KPIs, the normalized color values now sum to zero, like non-derived KPIs.
Updated the FAQ and release notes to use this website instead of a plain google doc.
During import, sanitized column names, allowed the use of reserved SQL words, and allowed uploading the same CSV filename many times.
Added UI for scheduling backfill.
Fixed the display issue in the pivot tab for KPIs marked as inverse.
Updated the schema page. Users can annotate datasets as well as the dimensions in the dataset.
Added ability to search and filter datasets.
Added an option to backfill data for any given date range. The backfill smartly chunks the data so that the process completes as soon as possible.
Added option to size the heatmap by current or baseline values.
Improved handling of negative values in heatmap and overview.
Show details when users hover on the OTHER box.
Added name of the view/snapshot/anomaly when displaying one in the root cause page.
Added a schema page.
Added option to download anomaly data as a csv file.
Replaced KPI table on the dataset page by time-series charts, which can be personalized (choose granularity, KPIs, KPI slices, investigation period, baseline period).
Added a workaround to import one-off data when the number of rows exceeds 350k.
Recommend derived KPIs (and identifying KPIs as cost KPIs) for marketing and other verticals. Leverage historical data too.
Recommend alerts for accounts that do not have alerts set up.
Add query params to the anomaly page.
Initial UI support for creating alerts. Previously, it was yaml.
Certified snowflake integration.
Users can manually control the order in which charts are displayed. The order is preserved in snapshots.
Users can exclude/include dimensions for a dataset.
Added a better, more intuitive datepicker.
Added support for downloading the cohort predictions as a daily csv.
Added this release notes doc.
(Certified) Databricks integration.
Email alerts when the backfill is complete.
KPI filters on the pivot table.
Added support for weekly and monthly datasets.
Option to type dates in the chart view.
Customer-verified connection with Databricks.
FAQs (Frequently Asked Questions) doc.
Marking a KPI as a cost metric.
(Alpha) Databricks integration.
Heatmap shows correctly for derived KPIs.
Visualize results of query running in the SQL editor.
Ad-hoc support for alerting on spend and ROAS targets.
Rolling alerts such as 7-day sliding window.
Customer-verified connection to ClickHouse.
Support for time zones and offsets in setting up scheduled imports.
Invite other users in the organization.
Customer-verified connection to Snowflake.
(Alpha) Setting up scheduled imports from the SQL editor.
Textual description of a report the user is going to see.
Customer-verified connection to RedShift.
Online SQL editor for easy connection to SQL-speaking Data Warehouses and databases.
Customer-verified connection to BigQuery and MySQL.