What should be done next? "We recommended a targeted loyalty offer for that segment, which recovered 20% of lost revenue". 2. Real-World "Success Stories" for Inspiration
Every impactful data story follows a specific structure to keep an audience engaged: Data Science & Big Data Analytics
Start with the stakes. For example, "It costs 5x more to acquire a new customer than to keep an old one". What should be done next
This is where you dig into the "5 Vs" of Big Data—Volume, Velocity, Variety, Veracity, and Value. You describe the struggle of cleaning messy data to find the "signal" in the "noise". You describe the struggle of cleaning messy data
The "Aha!" moment. "The data showed that churn wasn't random; it was tied specifically to a pricing change in the Midwest region".
Data Storytelling: How to Tell a Great Story with Data - ThoughtSpot