Husprey brings value for the data work that doesn't belong in dashboards.

In particular, Husprey is the best way to highlight the high value analyses that you used to copy/paste from/in some Google Doc or Notion charts.

There are 3 main use cases Husprey brings value to Analytics teams:

1. One-off analysis

Most of the time, Business Users will ask you a question on a specific topic. Dashboards might have helped them with the "How much" but they are now expecting you to give them insights on the "Why" or the "How". Husprey is here to help you deliver those analyses.

As an example, teams using Husprey love to create "Feature Launch" reports.

💡 Feature tip

Local Tables are of great help to organize such analyses, allowing to split specific data preparation steps, and actual data exploitation.

2. Recurring reports

Sending automated reports executing the same queries is great, but they often fall short when it comes to highlighting conclusions readers should go away with (a.k.a. takeaways).

Husprey comes in handy in such a situation, for instance to share Weekly or Monthly Insights. With Husprey notebooks, data teams can bring trustable data and insights together, making sure everyone understands the same thing.

Your current workflow might include a dashboard link with copy pasted charts in an email or Notion doc. Husprey can save up to 1 hour a week just on this use case per analyst. 1 entire hour...

💡 Feature tip

Our "Duplicate" feature matches date formats to ease duplication. Coupled with the "Run all" feature, you can duplicate a report ready to be shared in less than a minute!

3. Data team wikis

Knowledge sharing is key when growing the data team after the initial 2 or 3 members.

In Husprey, everyone from your team can access previously written notebooks. This creates a unique location where one will find the history of work that was done. For example, teams using Husprey usually love to build some "Golden queries" notebook.

The embedded Glossary is also of great help to build up knowledge from all your analyses.

Did this answer your question?