Teradata analytics platform pioneered "four-dimensional analysis" with smarter IoT edge computing capabilities

Introduction: Teradata's first "four-dimensional analysis" delivers smarter IoT edge computing capabilities, integrating timing, tense, geospatial, operational and customer analytics to help the smart city project, wearables and transportation industry grow rapidly.

Teradata CorporaTIon (NYSE: TDC), the world's leading provider of data and analytics solutions, announced the official launch of the 4D AnalyTIcs feature. Four-dimensional analysis is a new advanced analysis function that combines 3D spatial position data with time as a fourth dimension, especially in edge computing applications, and easily manages time and position constant variables. By adding these new features to the Teradata AnalyTIcs Platform, which handle geospatial, temporal, and timing data, and easily combine operational and customer analytics, Teradata will help customers apply a more powerful Internet of Things (IoT) ) Analysis of use cases.

TIm Henry, senior vice president of strategic product management at Teradata, said: "With advanced analytics, we are about to see a massive explosion in IoT applications and use cases. By pushing new insights into connected cars and fleets , aircraft, traffic lights, road traffic, wearables and more edge devices, they will be more intelligent and play a greater role. Based on the industry's first four-dimensional analysis capabilities, Teradata is ready to go, leading the edge Computational intelligence changes have brought significant improvements in terms of traffic flow, energy efficiency, and traffic safety."

Internet of Things, smart city, edge computing

For many industries, the promising IoT is a major investment direction for enterprises. The Teradata analytics platform significantly improves this return on investment by improving the level of edge computing intelligence, enabling business impact analysis, and adding deeper insights into traditional sensor data analysis. By using end-use and "space" insights based on automotive and wearable devices, adding four-dimensional analysis capabilities will further enhance IoT analysis. Timing (a series of data points collected at set intervals and showing activity and changes over time), tenses (used to store data related to associated time periods), and geospatial (associated with device locations) data The perfect combination will enable time and location based situational analysis.

Mike Ferguson, director of Intelligent Business Strategies, an IT analyst and consulting firm, said: "In almost every vertical industry, innovative companies are committed to digital transformation to improve their operations and gain new insights that can help them cut Cost, retain customers and increase revenue. In terms of data and analytics, IoT faces new challenges that require edge and centralized scalability. Teradata provides comprehensive support for IoT analytics and is a reliable response to these challenges. Partner."

Using Teradata's four-dimensional analysis capabilities, you gain deep insights into new logic and rules that make edge computing smarter. Companies that continue to lead the competition will be able to use four-dimensional analysis capabilities to support a variety of enhanced applications, including:

· By analyzing trains, subways, taxis, cars, traffic lights, restaurant traffic, and overall staff mobility, new insights are gained on edge computing devices, which will become new logic and rules for advancing smart city projects. ;

· Optimize fleet operations by studying fleet sensor data such as travel times and routes, and predict vehicle failure probabilities and the impact that failures may have on the business;

· Use wearable devices and personal medical devices to analyze patient heart rate and activity data to understand patient medication compliance;

· Analyze individual vehicle data to clarify the difference between accidents and fortunes to avoid collisions, making all vehicles smarter and safer;

· Combine time series, geospatial data with demographic information (eg, elderly or cycling students), and create highly targeted customized services around transportation-as-a-service Send to the terminal device in real time.

Dr. Barry Devlin, founder of 9sight Consulting, published a research paper in November 2017, saying that time series data is the basis of advanced analysis technology for IoT data output... Fully supporting time series data and bitemporal data in a single environment is design And deploy the core requirements of the Production Analytic Platform.

The Teradata Analytics Platform is an important foundational component of Teradata Everywhere and will support the new 4D analysis capabilities. Teradata Everywhere combines flexibility, agility, and scalability to ensure customers get a high return on analytics investment. As business needs change, Teradata Everywhere supports cloud deployment and the freedom to change deployment environments.

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