Reduce costs and grow revenue. It's the promise of Big Data.
“Most of the BI market leaders are global IT powerhouses, and while their solutions are clearly working for large enterprises, they are not telecom-specific and are not specifically designed to
integrate with a CSP’s existing OSS/BSS fabric,” the report adds.
What CTOs really want is a real-time end-to-end view of the network, according to Cantor. “Across all domains voice, video and data.” And the smart deployment of data analytics can provide
that.
“Before looking into a Big Data solution or technology, a CSP should look first at the data sources that are available--discovery--and what type of business problem needs to be solved,” Bartels
says.
“Today, most OSS and BSS systems are managing data in silos. For example, each application has its own databases and applications with little or no connections being made across the
boundaries of these silos. A cross-functional data discovery and assessment is needed as well as a fair amount of imagination and prototyping to create new insights. There is also more and more
'public' data available that, when “meshed” together with OSS and BSS data, could be helpful and meaningful.”
About Cycle30
Cycle30 provides completely hosted order-to-cash billing services for cable, telecommunication and utility operators in North America. The Cycle30 platform of services includes
order management, revenue management, service assurance, billing management, integrations and business intelligence. Cycle30 is headquartered in Seattle and operates data centers
across the U.S. Learn more at www.cycle30.com/services.
Cycle30 provides a hosted order-to-cash billing platform for cable, wireless, telecommunications, utilities and machine-to-machine services. We empower service providers to focus on
their customers, while Cycle30 handles the billing operation.
The Cycle30 platform includes customer management, service fulfillment, billing and revenue management, service assurance, integrations, and business intelligence. Cycle30 is a U.S.
company, headquartered in Seattle, Washington, with data center facilities across North America and beyond. Visit www.cycle30.com.
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The Stratecast and Frost & Sullivan report identifies these six areas as those in CSP environments with the most potential for data analytics to produce results:
- Network & Operations
- Products & Marketing
- Core Customer Data
- CEM
- Billing
- Revenue Assurance
Forecasting Data Storms
Big Data can be leveraged many ways but boosting ARPU and reducing churn are the primary ways in which operators can leverage Big Data to increase revenues.
“How does data help me generate sources of revenue?” John Lenns, assistant vice president of business development for Tekelec asks. “The operator can use data to understand user behavior, and
improve quality of service. When do they get on the network? When do they demand bandwidth? When are the storms of usage?” Lenns adds that anything operators can do to boost quality of service
will reduce churn and generate higher revenues.
