What is the Data Science Strategy of Teradata?

analytics-insightThis post was originally published by Analytics Insight at Analytics Insight


The 40-years old Teradata is one of the most successful analytics firms of all time. The company delivers real-time, intelligent answers, leveraging 100 percent of the relevant data, regardless of scale or volume of query. And it does it on-premises, in the cloud, and anywhere in between. It’s called Pervasive Data Intelligence. And only Teradata has the industry-leading products, expertise, and services to deliver it today. Teradata transforms how businesses work and people live through the power of data. Teradata leverages all of the data, all of the time, so users can analyze anything, deploy anywhere, and deliver analytics that matter. The company’s solutions answer to the complexity, cost, and inadequacy of today’s approach to analytics.

To build on its quest to drive better data capabilities, in the past few years, Teradata has made some significant acquisitions to increase or create its business value. In June 2016, the company acquired a London-based Big Data Partnership, a startup that provides big data solutions and training to help companies become savvier in the use of big data. The Big Data Partnership and Think Big consulting of Teradata has addressed the demand for better data science within companies with datasets that are growing exponentially. The former has introduced a proven approach to help companies deliver successful big data programs quickly based on an assessment of technology, business, and governance maturity. Its methodology catalyzed Think Big’s proven open-source consulting approach, named Think Big Velocity. Through this, Teradata helps its clients continuously innovate, develop, deploy, manage, and optimize new open-source production analytic solutions.

In January 2017, Teradata entered into a strategic partnership with SAS, business intelligence, and analytical software and services providers to enable customers to exploit the best of both companies’ core strengths. This partnership was anticipated to bring together the respective strengths of both companies in business analytics and enterprise data warehousing. The SAS and Teradata partnership stands still on the foundation of enabling businesses to run and optimize key aspects of SAS solutions and analytic processes within the Teradata database engine. Through this, customers are able to leverage SAS capabilities and analytical functions in an effort to use the core parallel processing inherent in the architecture of Teradata.

Additionally, based on sector-specific knowledge, integration maps, and big data experience, Teradata provides solutions that are tailored for the unique needs, issues, and opportunities of industries and customized for individual companies.

Spread the word

This post was originally published by Analytics Insight at Analytics Insight

Related posts