TERADATA Analytics for Enterprise Applications in Predictive Analytics Software

Teradata Analytics for Enterprise Applications eradicates the complexity of enterprise application integration, delivers real-time access to integrated data from ERP and other enterprise applications, as well as provides transparency and visibility into business and customer insights.

It offers features such as, Use model scores as selection criteria for campaigns and select/manage, which models are being used to score customers for campaigns. Some of the features it offers:

QUICK DECISION-MAKING: Real-time data replication helps business users to access new data, enabling faster decisions.
RESTRUCTURE DATA MANAGEMENT: Solution helps eradicate complex management processes and generate results within a short span of time (like in weeks).
NEW PERSPECTIVES: Enables differentiated business decisions based on integrated data from various data sources.
SCALABLE AND HIGH PERFORMANCE: It is a scalable and high-performing solution that help business users ask questions and respond to the questions by drilling down into detailed transaction data.
POWERFUL TOOLS: Reveals new, deeper insights that facilitate decisions through advanced in-database analytic techniques and best-of-breed BI tools leveraging integrated semantic layer as the foundation.
PROBLEM-SOLVING: Implementing few business modules help align solutions and business needs for enhanced visibility and timeliness of analytics.
CUT-DOWN COSTS: Eliminating dependencies on specialized IT for data extraction and loading processes help reduce the cost of ownership. 

USP : Teradata analytics provides “Flip the Switch” analytics which allows on-the-fly switching of best campaign users from reverse modeling to forward prediction. Teradata Analytics for Enterprise Applications eradicates the complexity of enterprise application integration, delivers real-time access to integrated data from ERP and other enterprise applications, as well as provides transparency and visibility into business and customer insights.

2.5
BUYERS
VENDORS
EXPERTS
1.8
ANALYSTS

TERADATA Analytics for Enterprise Applications detailed analysis

Product Maturity
Company Maturity
Use Case Maturity
Most IMPORTANT
2.1
4.3
3.4
Product Quality and Reliability
1.55
4.90
3.35
Product Features and Functionality
0.75
3.85
2.80
Breadth and Depth of Product Offering
2.90
4.45
4.10
LEAST IMPORTANT LESS IMPORTANT

PARTICIPATING QUADRANTS

TERADATA Analytics for Enterprise Applications has chosen it’s strengths in these 3 territories
  • Niche Quadrant

    All-Middle East and Africa

    16 Participants

  • Niche Quadrant

    All-Asia-Pacific

    19 Participants

  • Niche Quadrant

    All-Europe

    25 Participants

STRENGTHS
  • Product Maturity / Data Management
    Interactive Visualisation
  • Product Maturity / Data Management
    Data Preparation (Data Management)
  • Product Maturity / Data Management
    Real Time Dashboarding
  • Product Maturity / Product Quality and Reliability
    Custom Scripting Language
  • Product Maturity / Integration with Big Data Frameworks / Da...
    Apache Spark
  • Product Maturity / Enterprise Features
    Cloud Hosted Data
  • Product Maturity / Core Features
    Data Investigation
  • Product Maturity / Core Features
    Predictive Grouping
  • Product Maturity / Enterprise Features
    Shared Data Sources
  • Product Maturity / Core Features
    Statistical Modelling
  • Product Maturity / Core Features
    Visual Analytics Design / Code Free
  • Product Maturity / Target Users
    Application Developers
  • Product Maturity / Target Users
    Business Analysts
  • Product Maturity / Deployment Type
    Cloud
  • Product Maturity / Target Users
    Consultants
  • Product Maturity / Services Offered
    Consulting
  • Product Maturity / Services Offered
    Custom Predictive Algorithms
  • Product Maturity / Target Users
    Database Administrators
  • Product Maturity / Target Users
    Data Scientists
  • Product Maturity / Deployment Type
    Hybrid (Deployment type)
WEAKNESSES
  • Product Maturity / Breadth and Depth of Product Offering / D...
    Migration Of Data Is Difficult
    Migration of data from Teradata to some other RDBMS systems is quite painful as the transition is not that smooth and one needs to follow many steps. Show More
  • Product Maturity / Product Features and Functionality / Inte...
    Big Data Implementation Is Risky
    Big data implementation in Teradata is costly. Hadoop is preferable in terms of storage scalability, cost, etc. Show More
  • Product Maturity / Data Collections
    Customer Data
  • Product Maturity / Data Management
    Data Blending
  • Product Maturity / Data Collections
    Demographic
  • Product Maturity / Data Collections
    Firmographic
  • Product Maturity / Data Collections
    Geo Spatial
  • Product Maturity / Data Collections
    Location [Pincodes]
  • Product Maturity / Data Collections
    Marketing Data
  • Product Maturity / Data Management
    Report Automation
  • Product Maturity / Data Management
    Report Generation
  • Product Maturity / Data Management
    Static Visualisation
  • Product Maturity / Data Collections
    Transaction Data
  • Product Maturity / Product Quality and Reliability
    Support for Custom Data Connectors
  • Product Maturity / Core Features
    Advanced Condition Prediction
  • Product Maturity / Enterprise Features
    Auto-scaling
  • Product Maturity / Core Features
    Event Detection
  • Product Maturity / Integration with Big Data Frameworks / Da...
    Hadoop
  • Product Maturity / Integration with Big Data Frameworks / Da...
    Hive
  • Product Maturity / Integration with Big Data Frameworks / Da...
    Kafka
See More

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TOP USECASES
TOP FEATURES
  • Product Features and Functionality
    Core Features
  • Product Features and Functionality
    Enterprise Features
  • Data Management
    Interactive Visualisation
  • Enterprise Features
    Analytics Workflow
  • Target Users
    Data Scientists
  • Deployment Type
    Hybrid (Deployment type)
  • Product Features and Functionality / Integration with Big Da..
    Data Stores
  • Support for Languages
    Support for R
  • Integration with Big Data Frameworks / Data Stores
    Apache Spark
  • Target Users
    Application Developers

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TERADATA Analytics for Enterprise Applications Presence in Predictive Analytics Software

Questions & Answers

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Internal Analyst,MnM
Internal Analyst, MnM
#18 in Predictive Analytics Software

“Good analytic data platforms"

(*)(*)(*)(*)(*)5
Teradata Corporation is a provider of analytic data platforms, applications, and services, and delivers embedded Predictive Analytics that helps marketers to easily apply forward-looking models to data-driven marketing efforts. It also offers features such as, Use model scores as selection criteria for campaigns and select/manage, which models are being used to score customers for campaigns.
Project Manager,Company Name Classified
Project Manager, Company Name Classified
#18 in Predictive Analytics Software

“Capable Software with Good Visual Appeal"

(*)(*)(*)(*)(*)5
Teradata analytics has a good interface offering a better visual appeal that is easy to understand. It provides good scalability in terms of applications and is compatible with SQL and Python. The only downside is the documentation needed to gain expertise in performing various complex tasks.

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