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ease
features
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support

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Description

We create innovative data solutions that enhance individuals' decision-making capabilities. This endeavor revolves around grasping the intricacies of human thought, learning, and behavior. Our focus is on developing intelligent systems that are both self-learning and self-service. Decision Intelligence represents a fusion of various disciplines, including data science, technology, business, and behavioral studies, which collectively empower informed decisions to generate effective solutions for tangible challenges. Our mission is to tackle significant, complex issues head-on. By leveraging technology as a strategic advantage and data as a guiding force, we aim to provide valuable insights to society through the integration of data and technology. Data science involves examining the origins of information, understanding its significance, and transforming it into a crucial asset for formulating business and IT strategies. Analyzing vast quantities of both structured and unstructured data to uncover meaningful patterns can enable organizations to control expenses, boost efficiency, identify emerging market prospects, and enhance their competitive edge, ultimately leading to smarter business outcomes. Moreover, the continuous evolution of data capabilities presents a promising future for organizations ready to embrace this transformative journey.

Description

SAS Intelligent Decisioning empowers organizations to optimize their interactions with customers, partners, suppliers, and employees by facilitating well-informed decision-making. It allows for the delivery of relevant, real-time decisions based on business rules and advanced analytics, accommodating a vast array of use cases. Before implementation, users can easily test these decisions to confirm they will yield the desired outcomes. The platform includes strong governance features that ensure decisions are comprehensible and trustworthy throughout the organization. It can efficiently manage high volumes of data and decisions thanks to a cloud-based architecture that adapts to varying demands. Additionally, it supports decision-making at the edge and in-stream integration with IoT devices, enhancing its versatility. Users can effortlessly create and adjust decision-making processes, whether by utilizing a user-friendly drag-and-drop interface or by writing custom code. Decisions can be defined by exploring centralized repositories for data, models, and business rules, allowing users to leverage existing resources effectively. This comprehensive approach ensures that organizations can remain agile and responsive in a fast-paced business environment.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Azure Marketplace
Docker
Google Cloud Platform
Microsoft Azure
Microsoft Power Platform
Red Hat OpenShift

Integrations

Amazon Web Services (AWS)
Azure Marketplace
Docker
Google Cloud Platform
Microsoft Azure
Microsoft Power Platform
Red Hat OpenShift

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

Busigence

Country

United States

Website

busigence.com

Vendor Details

Company Name

SAS

Country

United States

Website

www.sas.com/en_us/software/intelligent-decisioning.html

Product Features

Insight Engines

AI / Machine Learning
Augmented Analytics
Data Aggregation
Data Classification
Data Extraction
Data Source Connectors
Full Text Search
Intent Recognition
Multiple Data Sources
Search / Filter
Sentiment Analysis

Product Features

Decision Support

Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control

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