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SAS Enterprise Miner
Transform raw data into actionable insights with enterprise-grade visual analytics
About SAS Enterprise Miner
SAS Enterprise Miner is an enterprise-grade data mining and predictive analytics platform that empowers organizations to extract actionable insights from complex datasets. The solution combines intuitive visual workflows with powerful statistical algorithms, enabling data scientists and business analysts to build, validate, and deploy predictive models without extensive coding. Enterprise Miner streamlines the entire analytics lifecycle—from exploratory data analysis and feature engineering to model training, validation, and production deployment. The platform supports advanced techniques including decision trees, neural networks, ensemble methods, and time-series forecasting. When deployed through AiDOOS, Enterprise Miner gains enhanced governance capabilities, seamless integration with enterprise data platforms, optimized resource allocation for large-scale model training, and accelerated time-to-insight. Organizations benefit from improved data quality management, reduced model development cycles, and enterprise-wide scalability for analytics operations.
Challenges It Solves
- Complex data preparation and feature engineering consuming 60-70% of analytics project time
- Difficulty translating raw data into business-ready insights across large, siloed datasets
- Model development bottlenecks limiting ability to deploy predictive analytics at scale
- Lack of collaborative environment hindering knowledge sharing between data teams
- High operational costs from manual model management and maintenance processes
Use Cases
Customer Churn Prediction
Build predictive models to identify at-risk customers and implement proactive retention strategies. Enterprise Miner analyzes customer behavior patterns to enable targeted interventions.
Fraud Detection and Prevention
Deploy real-time fraud detection models across transaction systems to minimize losses. Advanced algorithms identify suspicious patterns faster than manual review.
Credit Risk Assessment
Develop credit scoring models for lending decisions using historical loan performance data. Predictive analytics improve approval accuracy and portfolio quality.
Market Basket Analysis
Identify product affinities and cross-selling opportunities through association mining. Optimize pricing, promotions, and product placement strategies.
Demand Forecasting
Predict future demand patterns to optimize inventory levels and supply chain operations. Time-series models account for seasonality and market trends.
Pricing
Pricing available on request
SAS Enterprise Miner pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Key Features
Drag-and-drop analytics workflow creation
Reduce model development time by up to 60%Intelligent data cleaning and transformation
Minimize data quality issues and inconsistenciesDecision trees, neural networks, ensemble methods
Achieve 45-52% improvement in prediction accuracyComprehensive performance metrics and diagnostics
Ensure model reliability before production deploymentSeamless model operationalization to enterprise systems
Enable rapid scoring and real-time predictionsTeam-based analytics workspace with version control
Accelerate knowledge sharing and project deliveryReviews
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Enterprise Readiness
Integrations
8 total appsNative integration with SAS Viya cloud platform for unified analytics governance and deployment
Direct connectivity to Hadoop clusters for processing large-scale distributed datasets
Leverage Spark for in-memory distributed computing and accelerated model training
Direct connectors to Teradata data warehouses for efficient data access and modeling
Native integration with Oracle systems for seamless data connectivity and scoring
Full support for Microsoft SQL Server environments and T-SQL integration
Integrated visualization and reporting of model results and business insights
API integration to deploy predictive scores directly into Salesforce CRM systems
AiDOOS Managed Deployment
Deploy SAS Enterprise Miner in
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Prerequisites
Configuration Options
A Virtual Delivery Center for SAS Enterprise Miner
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
- Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
- Refundable on unused Delivery Units, anytime — no questions asked
- Re-delivery guarantee on acceptance miss
- Pre-flight delivery sizing — you see the plan before you commit
How a Virtual Delivery Center delivers SAS Enterprise Miner
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Outcome-Based
Pay for results, not hours
Milestone-Driven
Clear deliverables at each phase
Expert Network
Access to certified specialists