In this moment, excerpted from the session, “Maximizing Retention and ROI with Fabric AI for Churn Prediction,” Asad Mahmood, Vice President, Data Analytics, HSO, raised the importance of demonstrating results for business users to understand what is happening with the model to take action best.
Key Takeaways
- Demonstrating the analytics: Business users aren’t typically interacting with the model. They don’t know how you are reaching the outcome, and they won’t trust that number just because it’s what you tell them. “They need to see analytics out of it,” Mahmood emphasizes.
- Presenting results: By presenting the results set in business language, they can trust the data and confidently take actions, which is what the model should be built for.
- Building for the business user: Every time you build a model, it’s important that business users should be able to interact with it and understand what is being shown and why the churn is happening, plot it out, and get help with segmentation to take action on it.
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