Big Data is an opportunity for CSPs to create the intelligence for operating networks more efficiently, to analyze the success of the services that telcos are offering, and to create a better personal experience for their customers. Learn how to leverage the Big Data opportunity.
Did you know that 61 telcos worldwide reported a loss of up to 10% of revenue due to order fallout? Why is this happening? How else is order fallout affecting companies? This report by Vanson Bourne, an independent research firm, examines the scope and nature of the problem. Business transaction assurance-making sure orders process successfully-may seem simple but it isn't. Learn about the challenges that telecommunications experts face and why current monitoring and management systems can't do the job.
Based on the Forrester Total Economic Impact (TEI) methodology, frameworks and interviews, Forrester Consulting, in this commissioned study for Progress, measured the total economic impact and potential ROI that using Progress Actional delivered in monitoring and managing the CRM system of a leading media and entertainment services provider.
Today’s consumers expect instant access to communications services whether they’re in the office, at home, or on the road. With data speeds increasing and international roaming costs decreasing, data usage is rapidly growing. Telecommunications Service Providers (TSPs) are under pressure to deliver more services to more people and approach 100% uptime all while lowering prices to consumers.
Traditional relational databases can’t meet the requirements for massive scalability, availability, and fault tolerance that the rapid growth in data usage and rise of big data demands. Read this solution brief to learn how Riak excels at these. Riak is a distributed NoSQL database optimized for big data. Riak meets many of the challenges you may be facing with your own service operations systems.
Spatial data warehouses are becoming more common as government agencies, municipalities, utilities, telcos and other spatial data users start to share their data. This paper illustrates some of the issues that arise when undertaking data replication and data sharing.