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Introducing AI-powered Data Injection for Sales Demos
December 12, 2024
Table of Contents
At Reprise, we’re always looking for ways to streamline the demo creation process. Sales and presales teams should be able to deliver high-impact, personalized demos at the drop of the hat. A big part of that comes down to showing the right data.
That’s exactly the kind of job Generative AI is good at.
And that’s why we’re excited to announce AI-powered demo data for Data Studio.
What’s New?
Data Studio lets you inject datasets into your demo environment. Before, you could upload CSVs and edit or duplicate these datasets. Sellers could then upload those datasets to deliver personalized demos.
But with Data Studio now powered by AI, presales teams can quickly expand and edit those datasets — or even create new ones — in a matter of seconds.
It works just like the chatbots you’re used to. Enter a prompt for what you want to change, and watch the AI work its magic as it updates your dataset. Ask follow-up questions to further refine your data. Publish the dataset and it’s ready for AEs to inject into your live app or self-contained demo environment.
Why Is This Important?
Prospects expect realistic data in your demos. They want to see a product that looks like it was built for them. With generic or missing data, prospects tune out. And when prospects tune out, your deals stall or you lose them altogether.
But, creating and customizing demo data has traditionally been a time-consuming, manual task. It’s often taken resources from engineering teams. Or, SEs have wasted precious hours on tedious data editing.
With AI, what used to take hours or days takes a matter of seconds. Instead of manually building and maintaining demo data, AI generates the datasets with a simple prompt.
And instead of sitting through generic demos, your prospects get demos that feel personalized and tell an engaging story. The result? Faster deal cycles and higher win rates.
Examples
Let’s explore a few examples of how presales can use AI to help create demo data.
1. Expanding a dataset: In this example, we highlight what it looks like to expand on a dataset without knowing what to add. AI can help you build a complete dataset, even when you’re starting with a smaller dataset as the foundation.
- Add multiple rows to a table
- Fill in blanks
- Add more bars on a chart
2. Changing numerical data to tell a better story: In the past, changing a dataset to tell a clear story involved trying to come up with the numbers and edit them yourself. With AI, you can easily show more trends, anomalies, or other variables in your data without manual editing.
- Show an interesting trend in a graph
- Create examples of “good” or “bad”
- Craft a pattern that your product can identify
3. Translation and verticalization: AI can make translation instant, without knowing anything about those languages or verticals. This localization capability is essential for companies who sell globally.
- Change text to different languages, verticals, or industries in seconds
Ready to take your demos to the next level? With AI-powered Data Studio, you can confidently show your product in the best possible light, every time.
Book a demo to see it in action!