When two large companies merge, it often takes a while – years in some cases – before processes get redesigned to span all departments, and the new organization settles into a lean and profitable machine. And the same is true of OSS/BSS. These systems have been designed for two different purposes: to keep the network operational and to keep it profitable. But today’s demanding networks need the functions of both of these systems to work together, and to work across the varying lifecycles of products and services.
Ivo Bures and Timo Tapani Sytela, Ooredoo, discuss how today’s competitive market requires that operational and business support systems (OSS/BSS) help telecom operators be fast, flexible and in control.
Cloud-based services provide an opportunity for network operators to add value and improve the timeliness and quality with which they deliver enterprise services and applications – whether through more efficient telecom and internal IT services or value-added cloud services for consumers and enterprises. Cloud-based services also allow operators to ensure rapid service creation and rollout by delivering new levels of flexibility, scalability and responsiveness. This will satisfy growing user expectations for new innovative services with high QoE, while handling ever-increasing traffic loads.
For an operator, being agile means being fast and flexible enough to remain in control and gain the time it needs to look ahead and deliver great experiences, says Ivo Bures, of the Qatar-based operator Ooredoo. And operations and business support systems (OSS/BSS) are the key to both meeting the challenge of growth and turning it into opportunity.
The technologies that support big data are now widely available, lowering the entry barrier for communication service providers (CSPs) to take the next step: revenue generation. The initial big-data issues represented by the three Vs – volume, variety and velocity –have been overcome. Through innovative database design, faster networks and the availability of open-source tools to handle the variety of big data, the focus has shifted to the three As: adequate, accurate and actionable – just enough accurate data to take revenue-generating action.