Case Study: Spark reduces scam texts by 99% with Fivetran

Fivetran contributes to 99% reduction in scam texts for Spark

Spark, New Zealand’s leading telecommunications and digital services provider, was modernizing its data platform to support real-time operations, improve customer experiences, and pursue AI initiatives. To do that, the company needed a more reliable way to centralize data from systems like Oracle Siebel CRM and other operational sources into Snowflake.

Using Fivetran’s automated data integration and change data capture (CDC), Spark unified near-real-time data across the business, powering fraud detection, operational reporting, and AI assistants. The results included a 99% reduction in scam texts, more than 90% faster data requests for customers and authorities, and historical data retrieval times cut from overnight to under 10 minutes, while also reducing operational overhead for the data team.

Spark

Peter Langham

Domain Chapter Lead for Data Engineering