1.1 - What Is Vantage Analyst? - Teradata Analytic Apps - Vantage Analyst

Vantage Analyst with Machine Learning Engine User Guide

Product
Teradata Analytic Apps
Vantage Analyst
Release Number
1.1
Published
December 2019
Language
English (United States)
Last Update
2020-08-06
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Teradata Vantage™ is our flagship analytic platform offering, which evolved from our industry-leading Teradata® Database. Until references in content are updated to reflect this change, the term Teradata Database is synonymous with Teradata Vantage.

Advanced SQL Engine (was NewSQL Engine) is a core capability of Teradata Vantage, based on our best-in-class Teradata Database. Advanced SQL refers to the ability to run advanced analytic functions beyond that of standard SQL.

Vantage Analyst encompasses features that individuals in different roles can benefit from.
  • Citizen data scientists can:
    • Curate datasets and apply advanced analytics to draw insights that predict churn, detect fraud, or predict mechanical failures. This information can be used to build and train predictive models to forecast business outcomes via propensity scores.
    • Use tools to visualize trends without requiring any coding to run path analysis to discover the most common event patterns such as path to churn, hospital readmission, and cart abandonment.
  • Business analysts use a set of a capabilities that:
    • Facilitate frictionless discovery process: Powerful analytic platform with a rich set of multi-genre analytics and user-friendly and self-service tool

      Discover business-changing insights that were previously unknown

      Quickly iterate analytics for rapid hypothesis testing and discovery

    • Enable simplified access to complex analytics: No need to know programming languages to perform complex analytics

      Spend more time in analysis instead of coding through a powerful GUI-guided process

      Innovative analysis leveraging multiple data sources and data types for factual and behavioral insights

    • Streamline the operationalization of the data science process: Easily share and reuse discoveries

      Quickly operationalize their analysis, including integration with business-critical applications

      Run complex analytics at enterprise scale and integration

Product Capabilities
Feature Description
Path Discover actionable insights in a series of behaviors or events.
Model Build, train, and evaluate predictive models to maximize business value.
Text Analyze text to uncover sentiment and key terms.
Cluster Create groups of objects based on multi-dimensional data similarity.
Workflow Quickly automate analytic workflow to create repeatable and operationalized process.
Model, Text, and Cluster require an MLE-enabled environment.
Key Features
Benefit Description
Machine Learning without coding Perform complex analysis without having to know or do coding.
Self-service discovery Self-service loading and analysis of new non-integrated data for testing.
Faster and richer insights through the power of integrated data and analytics No need to copy data out to analyze; Take advantage of a rich set of existing data and multi-genre analytics.
Rapid discovery Modularized process workflow facilitates agile analytics development and automation of repeatable tasks.
Seamless operationalization Reuse process workflows from discovery to production.
Team collaboration Share and reuse proven analytic processes, best practices, and results.
Analyst requirements for deployment:
  • Vantage with Advanced SQL and Machine Learning and Graph Engines (analytic nodes)

    These optional Engines provide the ability to run over 180 built-in functions, previously available from Teradata Aster®. The functions include math and statistics, text analysis, sentiment analysis, clustering, path and patterns, decision trees, graph, and so on.

  • AppCenter