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Unlock analytic insights across the content value chain - from creation through consumption - with Teradata.
Today’s Media and Entertainment industry demands that content creators and distributors develop a new way to leverage big data to understand and connect with audiences. Learn how big data analytics can allow you to listen to, analyze and respond to your audience across every channel. How Big Data Analytics is Transforming Digital Marketing
An explosion of distribution channels and platforms. Shifting release windows. Emerging business models. Growing demand in new territories. Today, maximizing content profitability and performance is trickier than ever. Teradata solutions provide you the tools and analytics to protect and grow your content value, while optimizing the bottom line. Solutions that Put the Spotlight on Success for Media and Entertainment
As distribution shifts from physical to digital media, increased sales pressure means tighter margins. Media and Entertainment companies need tools to support forecasting and revenue planning for digital media channels, while squeezing every penny from traditional lines of business. Teradata can help. Demand Chain Management from Teradata
Times have changed. New distribution platforms, web and social networks create opportunities to shift from mass audiences to individual connections. Connect with your audience of one through relevant, personalized content and messages – at the right time and place. Our Integrated Marketing Management solutions deliver the power to turn this revolutionary shift into competitive advantage, with end-to-end tools for your marketing creative, operations and analytics.
Warner Bros. Entertainment Inc.: Teradata Steals the Show; Improves Future Spend Decisions
A proliferation of digital distribution channels is breaking down barriers between you and your audience. For every click, fast-forward or search, your viewer leaves a data-driven fingerprint. Learn how Teradata Content Analytics enables you to analyze when, where and how meaningfully consumers engage with content across the second screen.
Use Analytics to Change the Way You Engage with Customers
Rapid growth of online and mobile advertising makes capturing intelligent real-time insights across multiple channels more vital than ever. Manage these complexities across the digital marketing value chain, from marketing operations, to yield management, to granular behavioral analytics with Teradata - and deliver the right message to the right audience at the right time.
More Choices. Great Value. Competitive Edge. The Teradata Workload-Specific Platform Family fits every data warehousing need. From the Active Enterprise Data Warehouse to the Data Mart Appliance, to our software only version - all running the Teradata Database - and, now, the Aster MapReduce Appliance for multi-structured data, Teradata has a platform for you.
As data requirements grow increasingly complex, so does your need for a faster, simpler way to manage your database. That combination of unmatched performance and efficient management is built into the foundation of the Teradata Database, delivering a low total cost of ownership, in a simple, scalable, parallel and self-managing solution. Learn More
Developing an analytic foundation to satisfy the business and technical needs across an organization can be challenging and costly. Leveraging Teradata’s predefined yet flexible Media & Entertainment Data Model lets you reach this goal quickly and effectively, reducing the risk of costly redesigns and maximizing your ROI.Comcast: Leaping Forward in Time with the Teradata Communications Logical Data Model (CLDM)
SiriusXM Revs its Analytics Engines to Drive Subscriber Insight
Netflix: Using Big Data to Drive Big Engagement
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Meredith Positions Itself As a Leader in Data-Driven Marketing Services
How Warner Bros. Uses Analytics to Power Relevant, Real-Time Digital Marketing
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Direct-to-consumer marketing takes center stage in today’s multi-platform ecosystem. Learn how M&E can take a cue from CPG when it comes to making money from behavior data.