Never leave money—or bandwidth—on the table.
NETWORK POLICIES NEED TO DO MORE THAN EVER
As data volumes increase and latencies decrease, policy applications are having trouble keeping up.
MONETIZATION OPPORTUNITIES
ARE BEING MISSED
If you can’t efficiently charge for millions of users interacting with thousands of different streaming services at once, you are missing monetization opportunities.
LEGACY SOLUTIONS
ARE FAILING
Legacy RDBMS and NoSQL solutions can’t scale to the transaction levels made possible by 5G or cope with inevitable problems such as multiple devices trying to use credit at the same moment.
HOW VOLT ACTIVE DATA SUPPORTS AMDOCS
Amdocs handles call authorization and billing for mobile networks all over the world. Their existing database technology was too expensive to license and operate, and was neither cloud nor virtualization friendly.
Learn how they found a data platform that could operate at scale with telco-grade high availability while hitting their long-tail predictable latency target.
VOLT ACTIVE DATA — THE ONLY DATA PLATFORM BUILT FOR 5G BSS
Volt Active Data lets major mobile operators use real-time data to run their digital and 5G businesses.
Analyzing data in real time allows you to instantly control and manage networks and applications, leading to more opportunities to engage with new customers and drive revenue.
Volt Active Data allows operators to check user credit and record device usage using durable and scalable transactions in real time, and prevents scenarios where calls are allowed when no credit exists.
Volt Active Data also manages cases where shared plans result in multiple devices attempting to use credit at the same moment in time, using a specialized architecture that allows highly demanded resources to be shared efficiently.
WHY YOUR TELCO DATABASE ISN’T READY FOR 5G
As service providers race to establish new services and revenue streams made possible by the convergence of 5G and IoT, the deficiencies of 4G and legacy tech are exposed as yesterday’s BSS solutions fail to:
- Extract value in true real-time
- Meet the needs of changing customer behavior and skyrocketing data consumption
- Address the unexpected costs, complexity, and security issues of open source frameworks
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