Introduction

We are stoked to finally announce Paradime Radar, the real-time intelligence engine for analytics work.

The Problem

Data teams have always had this quite odd problem. They help every team across the organization measure and understand the impact of their work. They provide insights on other teams’ performances. Yet, ironically, they kind of suck at measuring the impact of their own work and organizational influence.

As a result, many data and analytics teams are viewed as cost centers, shadow IT operations, and are not perceived as the value-creators they actually are.

Uncountable LinkedIn posts and articles have been written about bridging the gap between analysts and their internal stakeholders. Data organizations spend months, if not even years, improving relationships with business units, running trainings, and building processes - just to then fail at measuring their own effectiveness.

You need to measure what matters, because without measurement you can't improve or prove value. To get a seat at the big table, you need to do both.

Introducing Paradime Radar

With Paradime Radar, we are giving analytics teams 60+ metrics out-of-the-box to measure, analyze, and improve their productivity.

Data leaders and analytics teams can now get important insights on:

1. How their analytics platform is performing?

2. How their team is performing?

3. How their warehouse spend is evolving?

With these crucial insights, teams can get a 360-view of the impact of their work and the value they bring to the organization.

As one of our users in the private preview said:

This will help us massively in tracking our dbt™ project’s health and performance as a whole. We will finally be able to identify, to such a granular level, inefficiencies in our pipeline and reduce compute costs.

Analytics Platform Performance

With Bolt, we have helped customers get setup and running dbt™ schedules in seconds on Paradime. We have also seen our users spend many painstaking hours trying to understand which:

• Schedules take the longest

• Schedules that fail the most

• Models that fail tests all the time

• ... and the list goes on and on

In Radar, teams can access metrics on their dbt™ schedules, models, tests, and source freshness with no additional work. Users can filter the data over time and for any schedule or model they want.

By default, we provide a set of metrics to get started, and users can also edit their dashboards and customize it for their workspace and organization.

As noted by another customer during our private preview:

Radar gives us a full 360-view of our data assets. Having operational analytics out-of-the-box helps us understand in detail the ROI of our data products - understanding runtime, compute, and team efficiency.

What's next?

Radar offers a new, exciting approach to how we run data teams. For far too long, data teams have struggled to articulate their value. With Radar, our goal is for that to improve - radically. We expect teams using Radar to be much better at proving their organizational value, which will lead to more effective budget conversations, and therefore help in creating even more impactful work.

BUT, this is only the start 🤩.

We don't want to stop at just measuring. We want to help you understand what to do when things are not going well. Next, we will be releasing real-time alerts so you can act promptly when metrics cross thresholds. We are also looking to integrate Radar with task managers, such as Jira and Linear, so you can view your team's performance end-to-end across the entire development cycle.

At Paradime, we are constantly looking to push boundaries and we never stand still - just like our customers.

Radar is currently in private-preview and will be available soon. If you want to try the private preview, you can sign up and let us know, and we can add you.

If you have feedback or ideas on metrics that we should make available in Radar, give me a shout on LinkedIn. We'd love to hear your thoughts!

‍