Welcome!

Mobile IoT Authors: Yeshim Deniz, Elizabeth White, Pat Romanski, Zakia Bouachraoui, Liz McMillan

Related Topics: @DXWorldExpo, Mobile IoT, Microservices Expo, Containers Expo Blog, @CloudExpo, SDN Journal

@DXWorldExpo: Article

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

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.

  • Correlate structured and unstructured data from OSS, BSS and Social Intelligence to act in real-time and overcome the complexity of managing networks, services and subscribers across their technical and user experience dimensions
    • Customer Experience Management: offer the best quality of experience to end-users (network intelligence); Gain a single-pane-of-glass visibility into individual user's experience, services and network; Improve the business processes and functions related to customer experience responsibilities

§  Customer experience management combined with policy management and Real Time Billing can improve ARPU and reduce churn (service intelligence) by identifying:

  • Subscribers who need retention activity (e.g., subsidies for new phones, free months of service to compensate for low quality of experience, automated bill adjustments or credits, etc.)
  • Quality of network services (voice/data) and root cause of issues to proactively resolve them and proactively fixing of potential issues for high value subscribers
  • Integration points between OSS and BSS infrastructures for automation and proactive care
    • Service Personalization: Understand customers to deliver personalized services, digital curation-based content, bundles and offerings in real-time; create a smart unified user profile and analytics with a full panoramic and integrated view of the consumer, network and personal data

§  Campaign management: Improve ARPU and customer loyalty through personalized Campaigns

  • Analyze real-time usage to make intra-day marketing program changes, enhanced marketing strategies with real-time analysis
  • Develop marketing strategies when customers are approaching the cap, both for mobile (e.g., provide voice minutes to the preferred number, data traffic only for favorite online service) and fixed BB (e.g., Provide data traffic for preferred video on demand provider)
  • Offer improvement (and up/cross selling) when users engage call center agents
    • Social Intelligence: understand what customers think, improve customer acquisition/retention and create brand awareness, improve & predict sales. Social Intelligence enables organizations to understand and leverage how people behave and what people do on Social Media channels. Social Intelligence is an enabler for many different scenarios:

§  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.

  • Monetize the Customer knowledge and Big Data sssets through advertising and revenue Sharing (e.g., affiliation) business models.
    • The mobile ecosystem is where the service-providers have far more tools and strategies available to engage subscribers and get a slice of the digital advertising market
    • Measure and monitor monetization of campaigns in real time for different business models (from traditional pay per click advertising, enhanced digital Couponing to the end to end digital buyer's journey) through solutions like:

§  Advanced customer profiling (Big Data combining Network, CRM and Social data)

§  Campaign management

§  Advertising marketplace

  • Sharing customer data
    • As the most basic first step Service providers could share their data assets with other big analytics and marketing platforms, to help them build and monetize the data and get a share of the revenues in such a case.

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.

More Stories By Kapil Raval

Kapil Raval is an experienced technology solutions consultant with nearly 20 years of experience in the telecom industry. He thinks ‘the business’ and focuses on linking business challenges to technology solutions. He currently works for HP and drives strategic solutions in the telecom vertical.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...