The Telco industry is changing, driven by • • • consumer behaviour and need for quality of experience, radically increased competition, industry convergence, adjacent markets, and Over the Top (OTT) providers Exponential growth of billions of devices, 5G, and IoT Innovative CSPs are deploying world-class analytics, AI, and an enterprise data architecture. This core foundation empowers future operating business models. If we look at the concept of transactions and interactions, we can see that they necessarily form the raw material of the operation of the Telco. By taking different elements of network data, transactions and interactions and aggregating them in different ways, we can meet the functional requirements of many different operational domains within the Telco. If we consider the financial elements of transactions and the cost of interactions, for example, we can build a “Financial Stream” which allows us to understand profitability within the Telco. Customer level profitability, segment level profitability, the profitability of customers associated with a particular product or service – all these metrics can potentially flow from the raw data. By choosing different business rules, we can also use the same data to look at the rest of the other streams. The beauty of this approach is that we can assemble a significant amount of information for different purposes from the same underlying raw data. Therefore, if we have for example a regulatory reporting stream, we can use the same data to look at the potential value of a marketing campaign, based on the predicted risk profile of the likely recipients and responders to the campaign. This opens up the opportunity for banks to undertake robust optimisation processes where the full financial impact of customer level decisions can be controlled in a much more precise way than may have previously been possible. The same source of single truth – enables various streams within Telco organization (Marketing, Network, Customer, Business, Financial, Security, and HR) to benefit from multiple use cases, each one leading to business outcomes which • increase loyalty and retention across all channels, leading to revenue growth • improve process efficiency and automation, for reduced cost • operationalize analytics for long term competitive advantage • and deliver network intelligence for future-proof growth Outcome and Business Benefits Increase Loyalty, Improve Retention and Grow Revenue Across all Channels A leading CSP in the Middle East achieved an outstanding and sustainable incremental gain of $97 million per year, running 3,000+ campaigns concurrently to all 60 million customers across multiple channels, with 98% of campaigns based on analytics (vs. 3% before). Improve Efficiency and Automation Across Multi-Channel Processes A global CSP automated 332 types of customers’ frequent inquiries with two languages across 13 markets, significantly reducing costs with an AI-enabled virtual agent. Using deep learning, a chatbot application will be extended to improve other business processes. Operationalizing Analytics to Drive Long-Term Competitive Advantage Deliver Network Intelligence to Future-Proof Growth Across All Events and Touchpoints Processing 20 billion rows of telco network signaling data daily, a leading telco service provider achieved operational excellence with customer-centric network analytics. Customer Shared Journeys – let our customers share their respective journeys with Teradata, and the business outcomes that were achieved. The results speak for themselves. 1. Verizon – largest US telco relies on Teradata for advanced analytics to optimize marketing offers, deliver digital promise while ensuring they have the finance rigor to keep Verizon number one in the US mobile market. https://www.youtube.com/watch?v=O9zzUoSn2T4 2. O2 Czech – Deep Neural Networks Support Personalized Services for 8M Subscribers, reduce churn, understand customer behaviour and deliver value proactively in the Czech Republic and Slovakia. https://www.youtube.com/watch?v=tkwQE3VsPJw 3. Vodafone New Zealand - using Teradata Aster, Vodafone were able to seamlessly combine network data from their Hadoop appliance with customer profile data from their DataMart. The resulting predictive model was highly accurate in identifying youth customers in their prepay base. After testing and tuning the model, they achieved a staggering 89% Correct-Prediction Ratio. http://assets.teradata.com/resourceCenter/downloads/CaseStudies/Vodafone%20Case%20Study%2 003.14%20V3.pdf 4. Case Study: T-Mobile Achieves Return on Innovation – T-Mobile leverages Big Data to automate network optimization for improved customer experience. View Document 5. How T-Mobile partnered with Teradata Manage Services - T-Mobile wanted a partner that could provide effective and efficient support for their complex analytical ecosystem while continually looking for improvements on their Production and Development systems. View Document View Document 6. Telefonica's journey to a self-service agile analytics factory enabled by Teradata solutions, achieving a very active user community, improved self-service analytical capabilities, reduced time between insights and actions, and High Value campaigns based on analytical models. View Document 7. How Deutsche Telekom with Teradata solutions, disrupt the market with their Analytics-as-aService based Digital Sales Assistant, democratize and productize their Big Data, to get business insights and answers (Next Best Offer, Product Affinity, Portfolio Gap, Business Similarities, etc). View Document 8. Analytics & AI @ A1 Austria – with Teradata solutions, A1 Austria is able to bring analytics to business, enabling closer collaboration between all cross-functional teams. View Document We are happy to sit down with your team and discuss further to discover how to leverage and get the most business outcome out of your big data in your organization with enterprise analytics.
