- Semi-structured customer data across dozens of data stores.
- Deploying a data analyst to each location too costly while centralizing risks regulatory concerns and losing consumer insights in context.
- Existing ML models poorly account for small but impactful variances in upgrade demand after different product and service releases.
- Devron works with data science teams to train sophisticated algorithms on decentralized data.
- Data Science teams gain additional insights on customer behavior while keeping PII safe at the source.
- Real-time insights allow Sales to adjust upgrade offers 67% faster to predict and respond to new release demand.
Greater Customer Wallet Share
More Data for Analysis
Reduced Time to Insight