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What is SAS Enterprise Miner?
Streamline the data mining workflow to accelerate the development of models and uncover key relationships while identifying the most impactful patterns. This process significantly shortens the time needed for data miners and statisticians to build effective models. An intuitive self-documenting process flow diagram environment illustrates the entire data mining methodology, ensuring optimal results. Additionally, it offers a broader selection of predictive modeling techniques compared to any other commercial data mining software on the market. Why accept anything less than superior tools? Business professionals and domain specialists lacking extensive statistical knowledge can effortlessly create their own models using SAS Rapid Predictive Modeler. Its easy-to-navigate interface leads them through a series of essential data mining tasks. The analytics results are displayed in clear charts, providing the transparency necessary for better decision-making. Harness advanced algorithms and industry-specific techniques to craft exceptional models. Moreover, validate the accuracy of outcomes through visual assessments and validation metrics, which guarantee a reliable modeling experience. This all-encompassing approach not only boosts model effectiveness but also equips users with the confidence to make well-informed decisions. Ultimately, embracing these innovative methodologies fosters a data-driven culture within organizations.
What is DataQu?
DataQu is a pioneering online platform that integrates a state-of-the-art artificial intelligence engine to generate predictive mathematical models, which help users anticipate unforeseen events. By enabling the prediction of potential machinery failures, it ensures that components can be replaced in a timely manner, thus avoiding interruptions in operations. Moreover, the platform creates agricultural models that predict crop yields, bolstering the sector’s ability to adapt to climate change challenges. It also allows for quick adaptations to fluctuations in customer preferences, supplier challenges, or production hurdles that may occur. A critical feature of predictive analytics available on DataQu is customer segmentation, which serves as a valuable tool for any business aiming for enhancement. In addition, DataQu supports the oversight of activities, resource management, and alignment with sales strategies, ensuring that organizations can operate smoothly. Utilized across a variety of industries, the platform empowers businesses to make data-informed decisions, improving customer relations and offering a clearer understanding of future possibilities. Consequently, DataQu not only improves operational performance but also fosters strategic growth by providing actionable insights derived from data analysis. This transformative approach positions organizations to thrive in an ever-evolving marketplace.
Integrations Supported
SAS Data Loader for Hadoop
SAS MDM
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
SAS Institute
Date Founded
1976
Company Location
United States
Company Website
www.sas.com/en_us/software/enterprise-miner.html
Company Facts
Organization Name
DataQu
Company Location
Chile
Company Website
dataqu.ai/
Categories and Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Categories and Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis