Telco Big Data Analytics: Improve Market Share and ARPU
By 2015, Big Data analytics will be one of the critical areas for CSPs to maintain their market-share
By: Kapil Raval
Feb. 18, 2013 09:00 AM
It's common knowledge that the subscriber growth enjoyed by wireless Communication Service Providers (CSPs) over the last several years is tapering off. The CSPs really need new sources of revenue to deliver the required growth. Over-The-Top (OTT) players on the other hand are moving quickly into the SP ecosystems and reaching out to their subscribers. To top it all, the regulators are encouraging new entrants and driving prices down. In Europe, regulations for low mobile termination rates and new international roaming charges are impacting revenue and profit for CSPs. The growth of mobile data traffic and the customer demands for better and personalized services are forcing CSPs to invest significantly to upgrade their networks and devices. There are a lot more similar challenges that CSPs face; however, the key point is that the CSPs have to focus on new sources of revenue to augment what they generate from their infrastructure, services portfolio and customer base.
One area where the CSPs have a definite edge over the OTT players is the access to real-time subscriber intelligence. CSPs have a lot of information (read it as Big Data) about an individual subscriber's taste, preferences, favorites, location, their consumption behavior of different voice and data services, service experience, payment history, etc. In addition to the current and contextual subscriber information, the CSPs also have access to a massive amount of untapped historical data (e.g., subscriber and service history) that can be aggregated and brought back into the present to build a richer subscriber profile and identity. The information is captured from different sources in the network at different times using different techniques and, in most cases, scattered across different databases and data warehouses. The CSPs can understand a lot more about their customers and deliver a much more personalized experience by investing in deeper real-time analytics capabilities, leveraging all these subscriber data and deriving to actionable customer intelligence-driven business models (e.g., meaningful products and services).
Analytics improves multiple aspects of CSPs' operations. Terabytes of dynamic customer data will continue to grow exponentially as carriers add new services and as IP-based traffic increases. Big Data is an opportunity for CSPs to create the intelligence for operating a network more efficiently, to analyze the success of the services that CSPs are offering, and to create a better personalized experience for their customers. Big Data analytics enables service providers to better segment subscribers to provide more targeted marketing spend and the insight to predict churn, cross-sell and upsell opportunities, the quality of customer experience and the lifetime value of a customer. The product managers get a better understanding of which services are most profitable, the impact of competitive offerings and the effect of cannibalization caused by a new product roll-out. It also gives network operations the ability to predict capacity issues and the impact of a new service launch.
I have listed below a few areas where wireless service providers can leverage Big Data analytics to improve market share and ARPU (average revenue per user). HP has the skills, experience, products and solutions in this area. HP has combined its business analytics solution with deep telecom networking expertise to help CSPs generate actionable insights for their market growth.
§ Customer experience management combined with policy management and Real Time Billing can improve ARPU and reduce churn (service intelligence) by identifying:
§ Campaign management: Improve ARPU and customer loyalty through personalized Campaigns
§ Acquire, retain, and develop high-value customers
§ Reduce value decay and Improving cross-selling rates
§ Optimize communication costs, Improve customer service, manage Customer service crowdsourcing and "owned communities"
§ Activate influencers and enable advocacy
§ Meaning based advertisement
§ Monetize subscribers' base with advertising, couponing and affiliation-based models.
§ Advanced customer profiling (Big Data combining Network, CRM and Social data)
§ Campaign management
§ Advertising marketplace
Most of the CSPs are aware of these opportunity areas. To implement any of these use cases, it's important to look at the end-to-end processes, integration points, analytics tools, storage and above all, applying the right logic to derive intelligence out of data. It is my view that many CSPs will start investing this year in Big Data Analytics. Those with dominant market share might start with customer experience management whereas others might start with monetizing the customer intelligence. By 2015, Big Data analytics will be one of the critical areas for CSPs to maintain their market-share.
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