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Cross-Sector / Enterprise FintechData & Analyticspredictive-analytics

SAS Advanced Analytics

Advanced analytics software for predictive modeling and data mining across industries.

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Overview

SAS Advanced Analytics provides a comprehensive suite of tools for data mining, predictive modeling, machine learning, and statistical analysis. It enables organizations to uncover patterns, forecast outcomes, and make data-driven decisions.

The platform supports a wide range of industries including finance, healthcare, retail, and manufacturing, offering scalable analytics solutions that integrate with existing IT infrastructure. SAS Advanced Analytics supports both batch and real-time analytics workflows.

It includes capabilities for data preparation, model development, deployment, and monitoring, facilitating end-to-end predictive analytics processes. The software supports various programming languages and integrates with multiple data sources and platforms.

Key Features

  • + Predictive modeling and machine learning
  • + Data mining and statistical analysis
  • + Automated data preparation and feature engineering
  • + Model deployment and monitoring
  • + Support for multiple programming languages (SAS, Python, R)
  • + Integration with big data platforms and databases
  • + Real-time analytics and scoring
  • + Scalable analytics infrastructure

Integrations

HadoopApache SparkTeradataMicrosoft AzureAmazon Web ServicesPythonR
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