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ease
features
design
support

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Description

IBM Decision Optimization Center offers a customizable platform designed to assist business decision-makers, including scientists, developers, analysts, planners, and schedulers. By leveraging advanced analytics, it effectively addresses complex planning and scheduling issues, minimizing the effort, time, and risk involved in creating tailored solutions for business enhancement. Implement this platform to facilitate more informed decision-making and boost ROI by integrating data and analytics with state-of-the-art optimization technologies. Translate data insights into actionable business strategies through its prescriptive analytics features. Experience rapid, dependable solutions with IBM's enterprise-grade optimization tools, and quickly improve the application with pre-built components and integrated visualization options. Benefit from a flexible, standards-compliant architecture that allows for effortless mapping of databases into application data tables. Additionally, control access to the application’s functionalities based on user-specific profiles, ensuring a secure and tailored experience for all users. This comprehensive approach enables organizations to optimize their operations and drive significant improvements in performance.

Description

Develop, implement, and manage data-driven decision-making processes on a large scale in either real-time or batch modes. SAS Data Science Programming caters to data scientists who prefer a purely programmatic method, allowing them to utilize SAS's analytical tools throughout the entire analytics life cycle, which encompasses data preparation, exploration, and deployment. Uncover and visualize significant patterns within your datasets, enabling the creation and dissemination of interactive reports and dashboards. Additionally, leverage self-service analytics to swiftly evaluate likely outcomes, leading to more informed and data-centric decisions. Engage with your data and create or modify predictive analytical models using the SAS® Viya® platform. This collaborative environment empowers data scientists, statisticians, and analysts to work together, refining their models iteratively for various segments, ultimately supporting decision-making based on reliable insights. Tackle intricate analytical challenges through an all-encompassing visual interface that efficiently manages every aspect of the analytics life cycle, ensuring that users can navigate complexities with ease and precision. By embracing this approach, organizations can enhance their strategic decision-making capabilities significantly.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft PowerPoint
Microsoft Word
SAS Visual Statistics
SAS Viya

Integrations

Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft PowerPoint
Microsoft Word
SAS Visual Statistics
SAS Viya

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/decision-optimization-center

Vendor Details

Company Name

SAS

Country

United States

Website

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

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Product Features

Data Science

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