How Demand-Driven Analytics Can Optimise Your Billing Communications

With CSPs being swamped with billing data, it has never been more important to manage that data efficiently and deliver key insights. Research tells us that at most, only 40% of your customers request billing reporting in any given period, but you still must deliver computing resources to process data for all customers, as you never know which customers want access and which do not. Simply put, 60% of your resources are being wasted.

Demand-driven analytics is a technology developed by Soft Telecom that means you now only process billing data for your customers that need it. Now you can maximise the return on cloud services and reduce your infrastructure footprint – delivering all the benefits of a best-in-class cloud native application.

Soft Telecom demand driven analytics

ECA offers speed, agility and efficiency when built and run in the Cloud.

Lower Running Costs

ECA has been developed from the ground up as a suite of microservices and is managed through a centralised orchestration service. These microservices are much more efficient at deploying application services when compared to VM-based alternatives. Containerisation also gives a better return per CPU reducing cloud service provider bills.

Soft Telecom cloud web

Scalability

ECA can auto-scale to meet user demand through self-provisioning and dynamic node clustering. This means you do not need to worry about deployment sizing requirements. Our purpose-built application will adapt to meet demand and scale back resources when no longer needed, ensuring internal efficiencies where possible.

Soft Telecom squares transparency
Soft Telecom demand driven billing footer

Easier Service Management

Automated CI/CD pipelines allow for continuous application and service deployment when compared to more traditional release cycles. Additionally, containerised microservices deployed through Kubernetes clusters avoid manual server patching associated with managed VMs. Together, these benefits reduce ongoing service management overheads for your operations team.