improved

New Dataset Index Page

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.

added

Refresh stale datasets by clearing the cached query results

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

improved

Share datasets and narratives by url

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.

improved

Find activities faster when building a dataset

It just got easier to find the activity you need when you're building a dataset. Within the activity drop-down you'll notice the following improvements:

added

Generate multiple customer lists in a dataset with drilldown shortcuts

Users can easily explore customers within a segment using drill-down shortcuts.

added

LIST_AGG() columns for Aggregate Activity Relationships

Users can now create a list of values from a collection of append activities using the LIST_AGG(...) function for aggregate relationships in dataset.

improved

Runtime Optimizations for Large Datasets

Large datasets will run even faster with the recent optimizations in Narrator. When running a query on a large dataset, you may notice two helpful defaults appear:

added

Support for Branded Color Palettes in Plots

In addition to customizing the company logo in Narratives, you can now personalize plot colors in the Company Settings.

improved

One-Click to Duplicate in Dataset Definitions

Quickly add similar activity logic within a dataset definition with the handy duplicate function.

improved

Better Visibility for Transformation Processing History

You'll now be able to see all of the details and history about a transformation's processing, including last resync, last reconciliation, and last ID resolution. This is one of many recent improvements to processing visibility, so you'll be able to know exactly what happened with your data and when.