Command and Control
A detailed analysis of all your
Business Intelligence reports
and dashboards,
helping you quickly understand
what assets work better
for your users, prompting
quick measurable
actions to increase adoption
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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
A detailed analysis of all your
Business Intelligence reports
and dashboards,
helping you quickly understand
what assets work better
for your users, prompting
quick measurable
actions to increase adoption
Helping both Data Professionals
and Business Stakeholders find
the relevant and trustworthy content.
Rupert's search engine goes deep
into your data, metrics and analyses,
and is available right from
the Rupert desk app or Slack bot
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Rupert analyzes usage
and behavior in order to push
the right Business Intelligence reports,
dashboards and metrics
to the right users at the right time
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Rupert efficiently connects
Business Stakeholders
with Data Professionals when they need them;
Reports and dashboards are being
stripped down to text messages
with their main metrics, to easily share data
A detailed analysis of all your Business Intelligence reports and dashboards, helping you quickly understand what assets work better for your users, prompting quick measurable actions to increase adoption
Learn moreHelping both Data Professionals and Business Stakeholders find the relevant and trustworthy content. Rupert's search engine goes deep into your data, metrics and analyses, and is available right from the Rupert desk app or Slack bot
Learn moreRupert analyzes usage and behavior in order to push the right Business Intelligence reports, dashboards and metrics to the right users at the right time
Learn moreRupert efficiently connects Business Stakeholders with Data Professionals when they need them; Reports and dashboards are being stripped down to text messages with their main metrics, to easily share data
Learn more
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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.
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.
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
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.
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
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.
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.
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
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.
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.
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.
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.
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
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.
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.
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
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.
You may already know about dashboard fatigue. If not, you’ve certainly felt it.
Text-to-SQL models have remained confined in controlled environments for too long.
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There is a way to efficiently make maximum use of your existing data assets: promote cross-organizational asset re-use.
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