Teradata Global Services Launches Agile Analytics Factory

Teradata As-a-service program accelerates client innovation in advanced analytics, delivers strategic business outcomes

Teradata introduces The Agile Analytics Factory: an end-to-end program that can help clients overcome the obstacles they face on their analytics journey.

Teradata’s Agile Analytics Factory touts to provide data science skills and analytics expertise as a service to deliver systemic and repeatable analytic capabilities. The program also applies data management practices, employs agile delivery methods, and works across technology and business functions to reduce costs and complexity in data and analytic environments.

The Agile Analytics Factory takes advantage of Teradata business IP including the AnalyticOps Accelerator and industry data models. The AnalyticOps Accelerator facilitates the generation, validation, deployment, and management of deep learning models at scale.

This accelerator moves projects from conception to production in weeks rather than months, reducing costs and time to market while improving quality, governance, scalability and auditability. In addition, newly enhanced industry data models make it faster and easier to execute an analytics project because they support new industry-specific use cases and high value data sources. Leveraging this IP, clients can swiftly integrate emerging data sources such as IoT sensor feeds with traditional data sources to address strategic analytic objectives, such as condition-based maintenance for high value industrial assets.

The Agile Analytics Factory capitalizes on leading practices and IP from Teradata’s Velocity services portfolio.

Velocity is Teradata’s Global Services portfolio of high value offers to help companies at any stage of their analytics journey, from advising on analytic strategies and developing analytic road maps, to architecting and implementing diverse analytical ecosystems, to optimizing and managing the environment to ensure maximum business value realization.

According to Gartner, “The lack of in-house data and analytics skills, especially in advanced analytics, and the ability to apply data science and analytics to different business contexts will continue to force enterprises to seek Consulting and Implementation services from external providers.”

Further info: teradata.com