Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
When choosing a target for prediction, an advanced algorithm identifies patterns within the data to develop a forecasting model. By designating a variable that serves as a decision-making criterion, it efficiently organizes clusters that exhibit notable trends and articulates the attributes of each group as rules. Additionally, should the data characteristics evolve over time, it is possible to forecast the target value for a future moment by examining trends in relation to the time variable. Even in situations where data characteristics are not clearly defined, it adeptly categorizes clusters with unique tendencies, which can help detect outliers in new data sets or provide fresh perspectives. In our company's approach to selecting marketing targets, we take into account factors such as gender, age, and mortgage status; however, it may be beneficial to explore additional variables that could enhance our predictive accuracy. Considering factors such as income level, education, and geographic location might further refine our targeting strategy.
Description
SAS Visual Statistics allows for collaborative data exploration among multiple users, enabling them to interactively develop and refine predictive models. Data scientists and statisticians can leverage the most suitable analytical techniques to act on insights at a detailed level. Consequently, you will discover insights at remarkable speeds, uncovering new opportunities for revenue growth. The platform facilitates the construction and fine-tuning of models aimed at specific demographics or segments while simultaneously running various scenarios. This capability encourages users to pose numerous what-if questions to enhance outcomes. Additionally, results can be operationalized through automatically generated score code. Users are empowered to visually manipulate data by adding or adjusting variables, eliminating outliers, and more. Changes can be instantly assessed for their impact on the model's predictive accuracy, allowing for swift adjustments. Data science teams enjoy the ultimate flexibility by working in their preferred programming languages, maximizing their expertise. Ultimately, SAS Visual Statistics integrates all analytical resources, making it a comprehensive solution for data-driven decision-making. It fosters an environment where innovation can thrive, pushing the boundaries of what data analysis can achieve.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
No
Google Cloud Platform
No
Microsoft Azure
No
Motion Array
Yes
Red Hat OpenShift
No
SAS Analytics for IoT
No
SAS Data Science Programming
No
SAS Visual Data Science
No
SAS Visual Data Science Decisioning
No
SAS Visual Machine Learning
No
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Microsoft Azure
Yes
Motion Array
No
Red Hat OpenShift
Yes
SAS Analytics for IoT
Yes
SAS Data Science Programming
Yes
SAS Visual Data Science
Yes
SAS Visual Data Science Decisioning
Yes
SAS Visual Machine Learning
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
AILYS
Country
South Korea
Website
davincilabs.ai
Vendor Details
Company Name
SAS
Country
United States
Website
www.sas.com/en_us/software/visual-statistics.html
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
Yes
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
Yes
Process/Workflow Automation
Yes
Rules-Based Automation
Yes
Virtual Personal Assistant (VPA)
Yes
Business Intelligence
Ad Hoc Reports
No
Benchmarking
No
Budgeting & Forecasting
No
Dashboard
No
Data Analysis
Yes
Key Performance Indicators
No
Natural Language Generation (NLG)
No
Performance Metrics
No
Predictive Analytics
Yes
Profitability Analysis
No
Strategic Planning
No
Trend / Problem Indicators
No
Visual Analytics
Yes
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Statistical Analysis
Analytics
No
Association Discovery
No
Compliance Tracking
No
File Management
No
File Storage
No
Forecasting
No
Multivariate Analysis
No
Regression Analysis
No
Statistical Process Control
No
Statistical Simulation
No
Survival Analysis
No
Time Series
No
Visualization
No