Rupert provides a data analytics platform for catching and responding to valuable signals in customer data.

Rupert

With Rupert's no-code custom alerts, find the actionable opportunities, anomalies, or exceptions you care about and push them directly to Slack.

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Christopher Lynch

Jake Stein

Bob Moore

Rupert’s no-code monitoring and alerting solution for Snowflake/BigQuery is now available for anyone to try! 

The free tier doesn’t require a CC and never expires! Couldn’t be simpler to get started.
 
If you’ve ever felt like there should be a simpler way to:
 
…be on the “front foot” when it comes to important changes in your data

…catch every valuable issue or opportunity in your data warehouse

…monitor and alert on important business metrics and events

…push actionable data to Slack 

Then come on down! You’re in the right place 😎

Anyone can get started with Rupert in minutes, completely self-serve.

1. Open a new account at hirupert dot com
2. Connect to your data warehouse (without the overhead of BI dashboards!)
3. Start monitoring the metric or events you care about

(Not ready to connect a source? Experiment with our demo data set and example alerts)

Once you’ve started your Rupert account, here’s some of what you’ll find waiting for you:

AI Assisted, only when you need it
Not sure where to get started with your alert trigger criteria? Pattern aware-anomaly detection will catch any unexpected drops or spikes.

Not sure how to explain the alert in your message? Our AI-assist will generate a complete message, breaking down the results of your trigger, to get your started.

No SQL, code, or engineering is ever required
Monitoring anything in your data warehouse and send beautiful alerts to Slack, without being a developer.

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We’re also launching today on Product Hunt today 🚀🚀  We’d love your support there too. Link in comments.

"I'm so tired from herding cats..."

I hear it a lot when clients and prospect describe their data operations.
And it's completely understood.

It's practically impossible to stay on top of everything. Data moves and changes too fast. And you don’t have eyes in the back of your head. 

And when you miss valuable, actionable insights, it can cost you big time. 

So that's when I heard about Rupert!

I met Ziv Wangenheim., together with Reut Vilek, the mastermind behind this innovative approach to data monitoring, who explained it to me like this:

Rupert is like having an always-on watchdog tracking your business data (product usage, telemetry, third party, etc).

It monitors the metrics and events closely and sends you alerts if anything needs your attention.

With Rupert, you’ll see and take advantage of every opportunity in your data.

Picture this:
🌄you're just starting your day, enjoying your morning coffee, when your phone lights up with a message from Rupert.

One of your most valuable clients hasn’t logged into your platform for more than three weeks!

But with Rupert's timely heads-up, you can jump in, invest some extra TLC, and get that client back on track.

Crisis averted! 

And basically, it can do the same thing in any data domain -
* Churn Prevention
* New User Activation
* Expansion Acceleration
* Fraud Detection
* Marketing Campaign Optimization
* Sales Pipeline Management
* Product Development Insights
* Operational Efficiency

And the best part about Rupert?

🧠You don't need a Ph.D. in data science to use it: 
The platform has a no-code approach.

So, if you're tired of feeling like you're constantly playing catch-up with your business data, give Rupert a shot by taking advantage of their freemium at hirupert.com or by talking with us.

However, here is a small disclaimer:

❗you should already have a DWH (data warehouse for those who are not data geeks) in place to enjoy Rupert to the fullest.

Not sure how to set up the DWH?

Contact me or the team at BIyond - BI, Big Data and Analytics, and we will happily help you make the necessary adjustments and setup.

Come hang out after PLGTM in SF today! Sign up here:

https://lnkd.in/eVFyM3R9

Do you and your team know the foundational equation underlying your business? Is it simple for your team to really focus on the inputs of that equation?

If you already saw this epic series of content from Lenny Rachitsky and Dan Hockenmaier then you have the equations! (seriously, what a goldmine 👏 )

But how do you get people to understand and align behind the equations?

Make it simple for teams to focus on the right data and metrics.

How to make focus simple?

Monitoring. Alerting.

Push, not pull.

Don't rely on stakeholders checking dashboards at the right time. 

Don't cross your fingers and hope that users will extract the right intel from sprawling dashboards.

Just send them the metrics they need. At the right time and right place.

Help teams focus by giving them targeted monitoring and alerting for the KPIs and drivers that matter to their piece of the overall equation. 

With Rupert, it looks something like this 👇

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Should we build template alerts in Rupert for more of Lenny and Dan’s equations, metrics, and KPI drivers? Let us know in the comments.

🌲 Metric trees are such a straightforward and powerful concept that simplifies pretty much every step in the analytics supply chain:
the events we collect,
extract and load planning,
model architecture and building,
and how, when, and where we monitor each metric.

The beautiful thing about it is that it helps focus on what matters most — business impact -- and provides a simple and robust framework for optimizing each metric, and eventually the top of the tree—aka KPIs.

Mixpanel has been preaching it with their Measurement Framework. But it’s great to see the likes of Abhi Sivasailam, Trevor Fox, and Ergest Xheblati really taking it to the next level 🙌 

Including a couple of links in the comments if you want to learn more.

Rupert and its team are deeply saddened by the horrific acts of terror in Israel over the past weekend. Such satanic acts have no place in our world.

We unequivocally stand with Israel, its people, and those affected.

For better, peaceful days.  

#WeStandWithIsrael 🇮🇱

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