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Teradata Launches Next-Generation Big Data Apps

11/02/2015 by


To enable organizations to transform business challenges into revenue opportunities, Teradata Corp, the big data analytics and marketing applications company, today launched big data apps powered by the Teradata Aster AppCenter™ (AppCenter).

Teradata developed this new solution because organizations continue to struggle to get business value from diverse, big data. The new business-focused big data apps from Teradata are designed to assist a wide range of business users tackle issues that are best solved with big data analytics, such as customer acquisition and retention, financial fraud, paths to purchase, and marketing optimization. The big data apps are focused in industries that include consumer finance, entertainment and gaming, healthcare, retail, and telecommunications. The big data apps use AppCenter, which provides a common framework to build, deploy, and consume interactive, web-based applications.

"The big data apps and Teradata Aster AppCenter, offer open, unrestricted use of big data," said Scott Gnau, president, Teradata Labs. "Despite technology and resource investments, the promise of big data remains elusive for many businesses. Teradata's solution will simplify, accelerate and extend the use of big data analytics across the enterprise and generate unexpected business value."

Designed to deliver faster time to value for users, the big data apps leverage prebuilt templates that include analytic logic, data schema, interactive visualization, and an easy-to-use interface for repeatable analytics. The big data apps incorporate best practices captured by Teradata Consulting Services from real-world deployments. Teradata Consulting services can configure the big data apps to meet specific customer requirements.

For example, the big data app for healthcare, Path to Surgery, identifies the common path and behavioral patterns that lead to major surgical procedures. To improve patient outcomes and lower costs, the Path to Surgery app allows the business analyst to predict the type of individual who may require a specific procedure, identify preventive measures to improve health and avoid surgery. For those patients requiring a procedure, the most successful pre-surgical steps are identified. The results of the analysis are displayed as an easy-to-use visualization, which is purpose-built to be highly interactive.

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