Trying to get a good handle on big data analytics and their implications and applications for the telecom industry? Here are some insightful telecom analytics white papers collected from around the Web that give context and practical applications for big data uses in the telco space, as well as examining some specific analytics for things like social media.
Contextual Intelligence and Advanced Analytics for Telecommunications (Comptel)
This white paper explores the key components of contextual intelligence, including the ability to handle large amounts of data in real time, predictive modeling and automated decision-making, as well as use cases for advanced analytics and contextual social network analytics (SNA). It’s a 2012 paper but still covers many of the basic concepts that are integral to telecom analytics.
Social Analytics for Telecom Industry (Tata Consultancy Services)
TCS looks at the use of social analytics for telecom use with examples such as Sprint and AT&T. The analysis of unstructured social media data — such as the content of a tweet — comes into play for consumer sentiment analysis, brand reputation and customer experience.
Improving Business Outcomes with Big Data and Analytics in Communications, Media and Entertainment (IDC)
This IDC white paper outlines some of the major themes and challenges for analytics across several industries, including telecom. Although telecom has a longstanding relationship with large amounts of data and systems for processing it, IDC’s take is that those systems aren’t up to the challenge of the current and near-future data demands for real-time telecom analytics and being able to leverage higher percentages of available data than has been done in the past.
Analytics in Next-Generation Telecom Services (Teradata)
Teradata looks at how the revolutions in content have nonetheless been accompanied by maintaining the use of traditional metrics despite the increase in mobility and anywhere-anytime-any-device accessibility and next-generation services. Although a bit wireline-heavy initially, the paper emphasizes the role that mobile will play and suggests strategies for both telecom analytics success and overall market agility fueled by analytics.
The Future of Big Data Analytics in the Telecoms Industry (Analysys Mason)
This telecom analytics white paper published last month does a very good job of laying out everything from the basics (defining big data analytics or BDA, which is an industry term that can mean many things to many players), to five challenges to BDA, potential solutions and thoughts on the future of the technology. Analysys Mason’s Justin van der Lande notes that not all BDA processes need to be done in real-time, but nonetheless the general movement by CSPs is to push toward the goal of real-time analysis. This white paper includes some figures on the current and predicted size of the market in the immediate future, and says that BDA has a heavy bias toward utilization in North America and Western Europe.
Predicitive Analytics: A Game-Changer for Telecom Companies (TCS)
Another interesting read from TCS, delving into potential use cases for predictive analytics specifically. The paper examines predictive analytics models in relation to the telecom customer lifecycle and suggests multiple applications of predictive analytics that are likely to be relevant at each stage — such as churn modeling or analytics on customer lifetime value.
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