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Meet Rupert: Delivering Business Outcomes from your Analytics

Meet Rupert: Delivering Business Outcomes from your Analytics

Rupert is an analytics distribution platform that actually delivers business value from analytics. We are growing and want to make Rupert available for more teams. We raised some money to make it happen.
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A Blueprint for Actually Turning Insights into Impact - Part I

A Blueprint for Actually Turning Insights into Impact - Part I

Unlocking the true ROI of analytics is more than just building the best infrastructure for insight extraction. In Part I of our series, we explore a framework to make a real difference to our business’ bottom-line using our existing analytics.
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Treat it like a Product - Part I

Treat it like a Product - Part I

What can we learn from Product Management that would make our data
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Who is The Impactful Analyst?

Who is The Impactful Analyst?

Analysts, you’re in a perfect position to make the most out
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The Impactful Analyst Podcast

The Impactful Analyst Podcast

The Impactful Analyst believes that data can make an organization / company / startup
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Data Analysts, Dashboard Fatigue Is a Far Bigger Problem Than You Think

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 Based on Stack Exchange Data

Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data

Text-to-SQL models have remained confined in controlled environments for too long.
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Your Data Assets Are Going to Waste

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.
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Rupert Experiment — Can We Make SQL Queries Easier to Understand?

Rupert Experiment — Can We Make SQL Queries Easier to Understand?

Our first Rupert Experiment tests automatic text-to-SQL and SQL-to-text conversion. Without SQL documentation, queries become unclear and stale.
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