Now Narrator users have more control over their default processing settings.

KPIs are a great way to monitor, organize, and share key metrics across your organization. KPIs allow quick exploration of each metric, enabling users to quickly slice and dice a KPI without needing to open a dataset.

You can now search for customer journeys by the customer value or anonymous value (like cookie) in the customer journey.

We've added a duplicate function in dataset to help users quickly create similar plots.

Users can build enrichment tables to join to an activity's feature column, instead of just the activity_id column.

We've added an independent processing schedule for transformations with "Full Data Resync" update types, so that large processing updates can run less frequently to reduce warehouse costs.

The new dataset index makes it easier to organize your work and find the datasets you need. These improvements were designed with your feedback in mind, promoting data collaboration across your broader team.

By default, Narrator applies a time filter on large datasets to improve runtimes and reduce warehouse costs. Now, you can manage the default time filter for large datasets in the company settings, giving you more control over how your data is queried.

Sometimes an analysis will require quick updates to the underlying data.

Sharing datasets, plots, and analyses are a key part of any data analyst's workflow. Narrator supports easy sharing using url shortcuts directly from any narrative or dataset.