Use case

Telecom Customer 360 Graph Demo

This demo shows how to use PuppyGraph to spot churn risk early and improve customer satisfaction in a telecom support scenario. Power your customer support interactions with more accurate and faster insights with PuppyGraph. No ETL or data duplication required.

Tech stack

Docker
PuppyGraph

Queries in natural language

  • Find how many churned customers each non-churned customer has contacted via phone calls, and sort customers by that count in descending order 
  • Identify the top 5% of phone numbers by number of calls made, then retrieve all support tickets filed by the customers who own those phone numbers 
  • Find all pairs of different customers who both filed escalated support tickets and have called each other
  • Identify family plans where none of the members have made phone calls to any other member within the same plan
  • For each family plan, count the number of calls made between different members of the same plan, and sort the plans by this count in descending order

Downloads

Sample dataset

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Schema JSON file

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Query groovy file

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Get started with PuppyGraph!

PuppyGraph empowers you to seamlessly query one or multiple data stores as a unified graph model.

Dev Edition

Free Download

Enterprise Edition

Developer

$0
/month
  • Forever free
  • Single node
  • Designed for proving your ideas
  • Available via Docker install

Enterprise

$
Based on the Memory and CPU of the server that runs PuppyGraph.
  • 30 day free trial with full features
  • Everything in Developer + Enterprise features
  • Designed for production
  • Available via AWS AMI & Docker install
* No payment required

Developer Edition

  • Forever free
  • Single noded
  • Designed for proving your ideas
  • Available via Docker install

Enterprise Edition

  • 30-day free trial with full features
  • Everything in developer edition & enterprise features
  • Designed for production
  • Available via AWS AMI & Docker install
* No payment required