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Audience Insight Factory - Audience Intelligence
Traditional media business models are increasingly challenged as consumer eyeballs and advertising dollars move to online, interactive channels. As this shift takes place, the ability to drive intelligent real-time insights from consumer data across multiple channels (and from across the enterprise) becomes increasingly critical as media companies look to improve the monetization of new business models.
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Consolidation of Information Needs for the Cable Industry
Learn how Teradata can identify business improvement opportunities within the Cable Industry to help you move quickly to capture data from new transaction sources and integrate that information with traditional business data.
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Customer Value Measurement
Understanding who your profitable customers are is more important today than ever before. Knowing how long they will remain customers is key. Teradata can help.
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Data Mart Consolidation and Business Intelligence Standardization: Getting the Most Value Out of Information
The most-effective way to gain greater business value (delivering consistent, integrated data) is the consolidation of data marts, operational data stores, and other information sources. Doing so not only provides cross-functional data to your users, but also creates a 360-degree view of customers, products and services.
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Data Warehouse Benchmarks: How to Make an Informed Decision, Minimize Risk, and Measure More Than Performance
Sid Adelman, an independent consultant, provides a fair, balanced view of how to properly conduct a benchmark and what a prospective customer should expect from their benchmarking efforts. This paper shows how one customer successfully conducted a benchmark.
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Enterprise Data Warehouse Roadmap Modeling for the Communications Industry
The Enterprise Data Warehouse Roadmap is a visual planning model showing the alignment of enterprise strategic goals and objectives through a chain to the supporting data in the enterprise data warehouse. This white paper specifically focuses on the roadmap model content and requirements of the communications industry.
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Enterprise Data Warehouse Roadmap: A state-of-the-art method
This white paper describes a method of visual modeling to support understanding and planning of the Enterprise Data Warehouse.
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Hollywood’s Unpredictable Future
This white paper discusses the impact of convergence on the future of the media and entertainment industry and develops an understanding of how organizations can prepare for the varied changes facing them in the next several years.
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Measuring Data Warehouse Return on Investment
Management wants to know the business value of the data warehouse, measured in quantitative terms, with the metrics in the form of Return on Investment (ROI). ROI refers to a few differnet ways of calculating the value of an investment which can be calculated by payback period (break-even analysis), net present value, or rate of return (yield).
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Teradata Database's Ease of Management
The real cost of the data warehouse is not in the cost of acquiring the software (operating system and DBMS), but in application development and overall management effort. This paper shows you the savings that accrue when constructing your data warehouse using a Teradata Database.
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Teradata Enterprise Data Warehouse Roadmaps and Logical Data Models
To learn how the Teradata EDWR and LDM combination provides value by ensuring a business-driven perspective to data warehouse design and usage, download the pdf.
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Teradata's Four-Phased Approach to Data Mart Consolidation
This paper analyzes the root causes for data mart proliferation. It presents a method for developing a data mart consolidation plan and illustrates the potential cost savings and revenue enhancement opportunities resulting from consolidating disparate data marts onto a single, integrated data warehouse.
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Teradata’s Real-Time Enterprise Reference Architecture
This white paper presents a high-level description of Teradata's Real-Time Enterprise Reference Architecture.
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Using Your OLTP Database for DSS?
A database's competence at transaction processing doesn't automatically qualify it to support growing and dynamic data warehouses. As this paper suggests, that very specialization in transaction workloads often translates to a life-sentence of data warehouse compromise.
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When and Why to Put What Data Where
This white paper provides guidelines to understanding how and when to use data management architecture layers in an efficient, as well as an effective manner.
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