Demystifying the best ways to optimize data analysis

From communications to travel and transportation, businesses in all industries rely on easy access to and effective analysis of data to improve decision-making. Vantage, the cloud data platform from Microsoft Certified Partner Teradata, helps businesses achieve this by unifying their data across multiple platforms.

“Regardless of company size or industry, what Teradata customers have in common is that they strive to solve analytics problems to create competitive advantage. in their markets,” said Tom Blankenhorn, vice president of Teradata. “To produce desired results, organizations typically need to enable large communities of users to run multiple types of analytical applications and workloads, each with unique requirements. Teradata Vantage enables organizations to run mixed workloads at scale while managing system resources to keep costs under control.

Vantage runs on the Microsoft Azure platform and enables users to perform advanced analytics in the cloud using artificial intelligence and machine learning capabilities. The solution can be deployed in the cloud, on premises or in a combination of both. With an optimized infrastructure, Teradata customers are able to analyze data while managing multiple deployments within a single ecosystem.

“Vantage is at its core an analytics platform and enables organizations to operationalize complex advanced analytics while leveraging the tool of their choice, dramatically improving the time to value and scalability of their efforts by data science,” says Blankenhorn. “Our unique ability to chain analyzes together in a multi-step format results in highly efficient and reusable models that are directly deployable in Vantage.”

The program supports multiple data types and works with a variety of languages ​​and platforms to ensure a personalized user experience for business analysts and data scientists.

“Dozens of new enterprise customers have chosen to deploy Vantage on Azure in the past year alone, leveraging our combined capabilities to make data-driven decisions faster,” says Blankenhorn. “Teradata also works with over 60 Azure data services, including Azure Data Lake Storage, Azure Data Factory, Power BI and many more, enabling our customers to ingest, store, analyze and visualize data .

Instead of moving data to different locations, customers can access data from its original sources, both on-premises and through the cloud, for faster results.

“Our scalable and intelligent software gives users access to all data, anytime and anywhere. Our platform offers customers the lowest risk, fastest time to value, and most cost-effective path to modern cloud deployments,” says Blankenhorn. “Our open, connected architecture also sets Vantage apart from competing solutions, allowing customers to use the tools and languages ​​they prefer, at scale. For example, with Vantage, organizations can easily connect to the native object store for open data sharing, as well as connect and use the tools and languages ​​they prefer.

According to Blankenhorn, Teradata also offers the lowest total cost of ownership for data analytics in the cloud. “This optimized and consistent approach allows customers to manage multiple deployments as one ecosystem, saving money by not having to replicate and move data,” he said. “With workload management and other cloud optimization techniques offered by Teradata, customers can get the best price for performance and the lowest total cost of ownership in the cloud and other environments.”

Teradata has worked with a wide selection of clients, spanning a wide range of industries including finance, telecommunications, retail, and manufacturing. Notable clients include well-known companies such as BMW Group, Groupon, Royal Bank of Canada and Vodafone Germany.

“We recently deployed Vantage for Siemens Healthineers, a medical device company, to perform predictive maintenance on 600,000 installed medical devices worldwide,” says Blankenhorn. “Additionally, our solution leveraged 230 terabytes of data for consumer goods company Unilever, which runs 27 business departments, supporting finance, sales, supply chain and HR decision-making for its 400 retail brands.”

Overall, Teradata exemplifies how cross-platform connectivity makes data analytics easier for all industries and sectors, including addressing the changing nature of demand for manufacturers and helping healthcare providers with artificial intelligence to better predict new diagnoses, disease progressions and risks to well-being. Retailers can also optimize product inventory, pricing, and promotions so they can focus on prioritizing customer experiences both in-store and online with the use of Vantage.

This article originally appeared in the Spring 2022 issue of Technology Record. To receive future issues straight to your inbox, sign up for a free subscription.


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