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Description

Harnessing data to anticipate and guide decisions is essential for effective service operations. Envision a scenario where every choice made is increasingly precise, timely, and strategically planned, resulting in countless small advantages every moment of the dayβ€”all accessible to your leadership team. The landscape of traditional workforce management is undergoing significant transformation, giving way to the era of Decision Intelligence. Our clientele understands that uncovering and optimizing their latent capacity can lead to reduced overtime costs, fewer temporary hires, balanced workloads within teams, compliance with service level agreements, enhanced employee wellbeing, and efficient scaling during peak periods. Remarkably, with decision intelligence, they can achieve all of this continuously and in real-time. The outcomes they experience are nothing short of extraordinary. We proudly stand as the sole provider of a dedicated Decision Intelligence platform specifically designed for service operations, addressing various needs across sectors such as banking, insurance, healthcare, and business process services. This innovation not only streamlines operations but also empowers organizations to reach their full potential.

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

ActiveOps

Country

United Kingdom

Website

activeops.com

Vendor Details

Company Name

SAS

Country

United States

Website

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

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

Employee Monitoring

Activity Monitoring
Browsing History
Email Monitoring
Keystroke Recording
Productivity Analysis
Remote Control
Screen Activity Recording
Time & Attendance
Time Tracking

Workforce Management

Budgeting & Forecasting
Contractor Management
Employee Lifecycle Management
Labor Projection
Performance Appraisal
Recruiting Management
Scheduling
Skills Tracking
Time & Attendance
Variable Workforce

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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