Distribute internal reports and dashboards, accelerate usage by Business users

It’s inevtiable, high growth companies have to turn to
self-service analytics in order to scale. Current patchwork solutions are not sustainable and business stakeholders avoid using them

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Loved by business and data teams

Already using Rupert

It’s inevitable, high growth companies have to turn to
self-service analytics in order to scale. Current patchwork solutions
are not sustainable and business stakeholders avoid using them

Rupert enables frictionless, intuitive
consumption of business intelligence
by business users. So you get less of these:

Rupert requires no coding and takes less than 30 min to implement

Rupert was built around four main principles that help business stakeholders consume insights by themselves:

Find

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Trust

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Understand

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What our customers say:

Tom

Chief Digital Officer

We used to struggle with staying organized: what assets should we vet, deprecate, or promote for employees’ consumption?

Without changing our workflows, Rupert takes this work off our plate and allows our non-technical employees to freely and independently use data.

Alex

Head of Data Science

We pushed for full data democratization from our inception. Outcome? Business users used data inconsistently and we, the data team, lost sight of the analytics service quality they are getting.

With Rupert, we can easily control and contextualize what the business should use and allow them to do so completely self-serve, cutting time to trusted insight to zero.

We used to struggle with staying organized: what assets should we vet, deprecate, or promote for employees’ consumption?

Without changing our workflows, Rupert takes this work off our plate and allows our non-technical employees to freely and independently use data.

Tom

Chief Digital Officer

We pushed for full data democratization from our inception. Outcome? Business users used data inconsistently and we, the data team, lost sight of the analytics service quality they are getting.

With Rupert, we can easily control and contextualize what the business should use and allow them to do so completely self-serve, cutting time to trusted insight to zero

Alex

Head of Data Science

Before Rupert, it was taking endless email and Slack threads for each data request to get resolved.

Now, our institutional knowledge is documented and delivered with verified reports and analyses via a simple self-service interface, increasing our business teams’ engagement with data while saving our analysts countless hours and headaches.

Owen

VP Business Intelligence

We used to struggle with staying organized: what assets should we vet, deprecate, or promote for employees’ consumption?

Without changing our workflows, Rupert takes this work off our plate and allows our non-technical employees to freely and independently use data.

Tom

Chief Digital Officer

We pushed for full data democratization from our inception. Outcome? Business users used data inconsistently and we, the data team, lost sight of the analytics service quality they are getting.

With Rupert, we can easily control and contextualize what the business should use and allow them to do so completely self-serve, cutting time to trusted insight to zero

Alex

Head of Data Science

Before Rupert, it was taking endless email and Slack threads for each data request to get resolved.

Now, our institutional knowledge is documented and delivered with verified reports and analyses via a simple self-service interface, increasing our business teams’ engagement with data while saving our analysts countless hours and headaches.

Owen

VP Business Intelligence

What our customers say:

Tom

Chief Digital Officer

We used to struggle with staying organized: what assets should we vet, deprecate, or promote for employees’ consumption?

Without changing our workflows, Rupert takes this work off our plate and allows our non-technical employees to freely and independently use data.

Owen

VP Business Intelligence

Before Rupert, it was taking endless email and Slack threads for each data request to get resolved. Now, our institutional knowledge is documented and delivered with verified reports and analyses via a simple self-service interface, increasing our business teams’ engagement with data while saving our analysts countless hours and headaches.

Alex

Head of Data Science

We pushed for full data democratization from our inception. Outcome? Business users used data inconsistently and we, the data team, lost sight of the analytics service quality they are getting.

With Rupert, we can easily control and contextualize what the business should use and allow them to do so completely self-serve, cutting time to trusted insight to zero.

We used to struggle with staying organized: what assets should we vet, deprecate, or promote for employees’ consumption?

Without changing our workflows, Rupert takes this work off our plate and allows our non-technical employees to freely and independently use data.

Tom

Chief Digital Officer

We pushed for full data democratization from our inception. Outcome? Business users used data inconsistently and we, the data team, lost sight of the analytics service quality they are getting.

With Rupert, we can easily control and contextualize what the business should use and allow them to do so completely self-serve, cutting time to trusted insight to zero

Alex

Head of Data Science

Before Rupert, it was taking endless email and Slack threads for each data request to get resolved.

Now, our institutional knowledge is documented and delivered with verified reports and analyses via a simple self-service interface, increasing our business teams’ engagement with data while saving our analysts countless hours and headaches.

Owen

VP Business Intelligence

We used to struggle with staying organized: what assets should we vet, deprecate, or promote for employees’ consumption?

Without changing our workflows, Rupert takes this work off our plate and allows our non-technical employees to freely and independently use data.

Tom

Chief Digital Officer

We pushed for full data democratization from our inception. Outcome? Business users used data inconsistently and we, the data team, lost sight of the analytics service quality they are getting.

With Rupert, we can easily control and contextualize what the business should use and allow them to do so completely self-serve, cutting time to trusted insight to zero

Alex

Head of Data Science

Before Rupert, it was taking endless email and Slack threads for each data request to get resolved.

Now, our institutional knowledge is documented and delivered with verified reports and analyses via a simple self-service interface, increasing our business teams’ engagement with data while saving our analysts countless hours and headaches.

Owen

VP Business Intelligence

Resources

Read our latest blog-posts

Data Analysts, Dashboard Fatigue Is a Far Bigger Problem Than You Think

You may already know about dashboard fatigue. If not, you’ve certainly felt it.

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Text-to-SQL in the Wild: A Naturally-Occurring Dataset

Text-to-SQL models have remained confined in controlled environments for too long.

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Your Data Assets Are Going to Waste

There is a way to efficiently make maximum use of your existing data assets: promote cross-organizational asset re-use.

Read more
See all blog posts

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