RCR Wireless releases a new feature report that explores recent developments and advances in the collection and analysis of data across the telecom operator’s broad horizontal view: from business systems, the network, and devices. Distilling data from those sources into actionable intelligence remains a challenge, with automation an area of particular interest.
Telecom service providers are working out how to leverage the nearly unfathomable amounts and types of data pouring from mobile networks, applications and devices in order to operate more efficiently, increase revenues and improve the customer experience. ‘Telecom Analytics – Actionable Intelligence’ is a newly released special report from RCR Wireless that examines the trends shaping the high-interest area of big data analytics that has potential to improve a wireless operator’s ability to run an efficient network, improve customer experience and gain new revenues.
This report features interviews with SAP, HP, Carrier iQ, Ericsson, Amdocs, Ixia, Comptel, Accedian Networks, and more.
Download this report to learn:
- The three major areas of applications for big data analytics
- New research exploring location-based analytics and marketing
- Latest developments shaping the available offerings in the market
- An update on CTIA’s comments on regulations related to mobile and big data
- Bonus: Supplier guide for tower services, staffing, training and hardware
Watch the complimentary editorial webinar featuring:
- Kelly Hill, Technology Reporter, RCR Wireless News
- Elisabeth Rainge, Research Vice President, Communications Service Provider Operations, IDC
- Michael Tanner, Vice President, Products and Marketing, CarrieriQ
- Bruce Lacey, Vice President of Engineering, CarrieriQ
“Big data analytics has applications across wireless operators’ businesses. Operators understand that there is value in their data, and they are trying to figure out how to maximize that that value,” said RCR Wireless News Technology Reporter Kelly Hill. “The question is the ‘how’, and part of that involves deciding which data to collect, how quickly they need the information analyzed, and whether consumers will be pleased or put off by the use of their information.”
RCR garnered insight from experts across the industry, from hardware to software and spanning the network. There are a range of possible approaches for mobile operators to take with big data, ranging from their business systems to their network to the mobile device itself. The technology exists to support operators’ choices on utilizing big data, but the business case must be made. The silos between business segments that could benefit from big data are only in the early stages of being broken down.
“Everybody is looking at how they can make more money from their customers, and how they can automate their processes to become more efficient,” said Ulla Koivukoski, senior vice president of analytics for Comptel.
