Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Google Cloud BigQuery Reviews & Ratings
    1,730 Ratings
    Company Website
  • Vertex AI Reviews & Ratings
    673 Ratings
    Company Website
  • Snowflake Reviews & Ratings
    1,389 Ratings
    Company Website
  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • IQVIA Reviews & Ratings
    15 Ratings
    Company Website
  • Coupa Supply Chain Design & Planning Reviews & Ratings
    1,223 Ratings
    Company Website
  • icCube Reviews & Ratings
    30 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    4 Ratings
    Company Website
  • Shoplogix Smart Factory Platform Reviews & Ratings
    19 Ratings
    Company Website
  • Kubit Reviews & Ratings
    29 Ratings
    Company Website

What is SAS Data Science Programming?

Develop and oversee large-scale decision-making processes driven by data, whether in real-time or batch formats. The SAS Data Science Programming approach is tailored for data scientists who prefer a comprehensive programmatic style, enabling them to engage with SAS's analytical tools throughout the full analytics life cycle, which includes stages like data preparation, exploration, and deployment. Identify and illustrate crucial patterns in datasets, which facilitates the generation and sharing of interactive reports and dashboards. Furthermore, utilize self-service analytics to quickly assess potential outcomes, empowering organizations to make well-informed, data-driven choices. Work with your data to create or adjust predictive analytical models using the SAS® Viya® platform. This collaborative framework encourages data scientists, statisticians, and analysts to unite in refining their models iteratively across different segments, ultimately bolstering decision-making grounded in dependable insights. Address complex analytical problems through an intuitive visual interface that adeptly manages all facets of the analytics life cycle, ensuring users can navigate challenges with both ease and accuracy. By adopting this methodology, organizations can significantly improve their strategic decision-making capabilities and drive better overall performance in their operations. Emphasizing collaboration and innovation within analytics will lead to more agile responses to rapidly changing market conditions.

What is Peak?

Introducing an innovative decision intelligence platform that enables business leaders to significantly improve their decision-making strategies. Our Connected Decision Intelligence system, referred to as CODI, has been carefully crafted by Peak to serve as an intelligence layer that connects diverse systems while unlocking unprecedented potential from your data. CODI facilitates the rapid deployment of AI solutions, allowing organizations to fully harness their data through its unique full-stack capabilities. It empowers both data scientists and engineers to oversee every aspect of the development and execution of AI applications in an efficient and scalable manner. With the adoption of CODI, AI projects transition from initial tests to fully functional solutions that deliver real-world results and benefits. Built on a solid enterprise-grade foundation, CODI is capable of handling large data sets and integrates seamlessly with existing technological frameworks. Moreover, it fosters deeper insights and incorporates data from various segments of your organization, ultimately enhancing strategies and overall performance. This cutting-edge methodology guarantees that organizations can make well-informed decisions based on thorough data analysis, driving significant improvements in operational effectiveness. As a result, businesses are better equipped to navigate complex challenges and seize new opportunities in a rapidly changing market.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft Word
MySQL
Oracle Cloud Infrastructure
PostgreSQL
PowerPoint
Redshift
SAS Visual Statistics
SAS Viya
SQL Server
Snowflake
UiPath

Integrations Supported

Amazon Web Services (AWS)
Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft Word
MySQL
Oracle Cloud Infrastructure
PostgreSQL
PowerPoint
Redshift
SAS Visual Statistics
SAS Viya
SQL Server
Snowflake
UiPath

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

Company Location

United States

Company Website

support.sas.com/en/software/data-science-programming.html

Company Facts

Organization Name

Peak

Date Founded

2014

Company Location

United Kingdom

Company Website

peak.ai/our-system/

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Popular Alternatives

Popular Alternatives

HPE Ezmeral Reviews & Ratings

HPE Ezmeral

Hewlett Packard Enterprise