CUSTOMER STORIES
VodafoneZiggo Cuts Costs by 50% and Gains Real-Time Insights with Snowflake
VodafoneZiggo migrated to Snowflake and AWS, cutting costs by 50% and improving data refresh rates to over 96%, enabling real-time insights and better customer interactions.
50% reduction in data infrastructure costs
96%+ data timeliness improved
Story highlights
- Cost savings through cloud migration: VodafoneZiggo cut infrastructure costs by 50% after moving to Snowflake and AWS.
- Real-time data access: Improved data timeliness to over 96%, enabling daily insights and faster decision-making.
- Scalable and reliable platform: Snowflake handles VodafoneZiggo’s massive network data volume, improving efficiency across teams.
Video Transcript
Speaker 1:
When you talk about Snowflake, people start to smile. They like it a lot. And when you walk around now on the floor, you see a lot of Snowflake screens. We're one of the biggest Telcos in the Netherlands. We have an annual revenue of around 4 billion.
We are merger between Vodafone and Ziggo, and before that, it was really a scattered and difficult architecture.
Speaker 2:
Sometimes our workflows would run for over 20 hours, sometimes 24 hours, and this is only to refresh the data.
Speaker 1:
If somewhere, you make one mistake, then you need to start all over again. Well, you could run a query, then go take a coffee, chat with your colleague, come back and then still the query wouldn't have finished.
Speaker 3:
Before, the amount of data that we got from my network was too big to handle. Snowflake is much more scalable.
Speaker 1:
We moved all our different platform from our data centers to AWS, and we moved our databases to Snowflake. So there's a lot of interaction between AWS and Snowflake. The migration in itself was one of the best moments of my career.
Speaker 2:
With the Snowflake platform, we managed to cut the costs in half, reduce the number of high incidence tickets to zero, and we also managed to improve the data timeliness to over 96%. With the whole Snowflake environment is that we have data already available of last day. So if a retail store operator comes in today, looks at the data, I can already see how we did yesterday and from there, decide what the best course of action is and it makes a huge, huge difference.
Speaker 1:
If you reach out to a customer or a customer, reach out to us. We have kind of a full picture of what's happening and what are their needs or how can we help them or have they been contacted before. So we don't have to start from the beginning every time.
Speaker 2:
Five years times, I envision that we're more of a tech co, that we have AI and Gen AI everywhere in our company that will drive the business units forward. And for that we also need Snowflake.
