• Communications

    Next Generation Analytics

    Leverage analytics to improve the customer experience, deliver new products and services, monetize infrastructure & data, and reduce costs


  • Gain Insights into Customer Behavior

    Many Communications Service Providers (CSPs) deal with unhappy customers by making a proactive offer to stay. While doing this can help retain customers, it does not identify or address the fundamental problem. Now, CSPs can use big data analytics to identify and address customer issues months prior to risking churn.

    Download: How 5 Communications Service Providers Improved Customer Experience  

    Use Big Data Analytics to Create New Products & Services

    Communications Service Providers (CSPs) are in a unique position to leverage big data analytics to access very detailed subscriber information. This data can include where subscribers live, where they travel, what they watch where they shop, the size and value of their social network, and much more. This data can then be utilized to create new products and services, improve customer experience and drive revenue.
     
    Download: Telefonica Czech: Microtargeting and Monetizing equals Innovation

    Monetize Your Data

    Communications Service Providers (CSPs) sit on troves of rich data about their subscribers. So, it’s no wonder that CSPs everywhere are talking about how they can monetize subscriber data. Over-the-top and niche application providers get a free ride on the providers’ network, while communications providers fight to grow their revenue base. Learn how CSPs can monetize data through big data analytics.
     
    Download: Teradata Next-Generation Analytics for Communications Service Providers

    Improve OPEX and CAPEX Performance

    Even with new plans, services and bundles, Communications Service Providers (CSPs) are still under tremendous pressure to increase OPEX and CAPEX performance to help improve the balance sheet. Using big data analytics can unlock opportunities to improve your bottom line across the CSP enterprise. Discover new opportunities, such as identifying assets that are underutilized, optimizing interconnect, gaining a unified network, creating OSS/BSS view, and streamlining costs with data marts consolidation.

    Case Study: How Bouygues Telecom Got Cost-Effective Governance without Compromising Agility

    Use Big Data for Up to Date Customer Information 

    What if your frontline people like sales clerks at your retail stores, contact service reps at the care center and systems, like your web and mobile sites could tap into every interaction to create insight? That's what big data analytics are all about!

    Learn How Swisscom Transformed Data into Customer Insights 

    Speed Time to Market 

    Teradata Communications LDM represents enterprise data, data relationships, topic areas and business rules and can help you define how different types of data relate to each other. The LDM works in conjunction with Teradata Communications Data Integration Warehouse Roadmap (DIR) in planning and identifying the next most valuable data to source in perspective with your corporate goals and strategies.

    Webcast: Comcast Corporation - Leaping Forward in Time with the Teradata Communications Logical Data Model

    Data Integration Roadmap for Communications

    The Teradata Communications Data Integration Warehouse Roadmap (DIR) is a visual reference model that shows you how you can support your strategic business decisions with integrated data. Combined with the Communications Logical Data Model, the DIR provides ensures a business-driven perspective to data warehouse design and usage. The DIR provides a link between the highest strategic levels of your company and the basic business information as captured in day-to-day operational data.

    Unify Your Data within a Single Architecture

    Teradata Unified Data Architecture leverages the complementary value of best-in-class technologies from Teradata, Teradata Aster, and open source Apache™ Hadoop, to enable business users to ask any question, against any data, with any analytic, at any time.