How to Win with Prescriptive Analytics
In this ZDNet special report, we examine how you set up an analytics infrastructure that sees around corners and gives you options to avoid a head-on crash.
Vantage falls under what the company calls its Teradata Everywhere strategy. Teradata is repositioning itself with its customer base and developing more tools to connect data across clouds. Teradata during its analyst day last year highlighted the Vantage architecture, which now includes more cloud storage options.
Teradata
Separately, Teradata launched Vantage Customer Experience (CX), an analytics suite focused on customer growth, retention, satisfaction, and growing revenue. Vantage CX is designed for the broader business user and aims to be a cloud data platform (CDP) that doesn’t require coding.
Vantage CX aggregates customer data, provides analytics for marketers and business users and enables cross channel and interaction analysis.
Must read
Executive’s guide to prescriptive analyticsResearch: Tech leaders are eager to implement prescriptive analyticsFree PDF download: How to win with prescriptive analytics
Teradata also launched Vantage Analyst, which revolves around machine learning and simplifying data science tools for a broader audience. Vantage Analyst runs analytics with a point-and-click interface.
Vantage Analyst includes iteration and hypothesis testing as well as machine learning-powered visualizations without coding. Business analysts will also have self-service data tools, modular process workflows, and sharing of results and best practices.
According to Teradata, Vantage Analytics has features called Path, which surfaces actionable insights; Text, focused on sentiment analysis and patterns; Cluster, which offers data segmentation; Lab, for exploring data; Model for predictive analytics; and Workflow for repeatable processes.
Vantage Customer Experience is in limited availability wit general availability in the first quarter. Vantage Analyst is available now with additional features being added by end of the year.
Related stories:
The data and AI market landscape 2019: The next wave of hybrid emergesDescriptive, predictive, and prescriptive analytics: How are they different?Your guide to prescriptive analyticsA guide for prescriptive analytics: The art and science of choosing and applying the right techniques5 myths about prescriptive analytics
Related Topics:
Cloud
Digital Transformation
Robotics
Internet of Things
Innovation
Enterprise Software