Telecom
Data Cloud
Build a connected future with Snowflake and the Telecom Data Cloud.
Video
Learn How Vodafone New Zealand
Creates Hyper Personalised
Telecommunications Experiences
with the Data Cloud
BREAK DOWN DATA SILOS, MAXIMIZE OPERATIONAL EFFICIENCY AND GROW REVENUE
The Telecom Data Cloud helps the telecom industry break down data silos within companies and across the ecosystem, allowing organizations to easily and securely access data in near real-time, enrich it with machine learning models, and then share and analyze it to drive better decisions and outcomes. Enable superior customer experiences, maximize operational efficiency, and increase profitability through cost reduction and new data product monetization with Telecom Data Cloud.
Telecom Data Cloud
Launch Partners
PROVEN BY SOME OF THE LARGEST GLOBAL
CUSTOMERS IN THE TELECOM INDUSTRY
SOLUTIONS IN THE
TELECOM DATA CLOUD
Modernize the
Telecom Network
Snowflake’s Telecom Data Cloud offers a single, fully-managed, secure platform for multi-cloud data consolidation with unified governance and elastic performance that supports any scale of storage, compute, and users.
Maximize Operational
Efficiency
With one unified platform for all data, teams across IT, network engineering, data science, network operations, and product management can collaborate using data to improve planning, make faster business decisions, rapidly respond to customer needs, better manage network resources, and reduce time to market on new services.
MONETIZE DATA
AND APPLICATIONS
Telecommunications service providers can create a more personalized data and application services marketplace with Snowflake Marketplace and launch innovative new services at scale, including monetization around advertising and selling IoT data to any industry.
WAYS TO
get started
Start Your 30-Day
Free Trial
Try Snowflake free for 30 days and experience the Data Cloud that helps eliminate the complexity, cost, and constraints inherent with other solutions. Available on all three major clouds, Snowflake supports a wide range of workloads, such as data warehousing, data lakes, and data science.