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Average Ratings 0 Ratings

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ease
features
design
support

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Description

The Prioritization Helper is a decision-making application within Salesforce that utilizes mathematical models to arrive at the most logical outcomes. This tool allows both internal and external users to make informed group or individual decisions that reduce bias while also keeping a record of results for future reference. As a fully integrated Salesforce solution built on the Lightning Framework, it employs Pairwise Comparisons for making significant business choices that may involve feedback from various stakeholders. This innovative approach can effectively replace conventional polls or in-person voting during meetings. By inviting all relevant stakeholders to express their opinions on the most crucial criteria and rate the available options accordingly, it fosters well-informed group decisions. It is particularly useful for high-stakes choices such as selecting software, hiring new personnel, or determining which events to sponsor. Additionally, stakeholders who might not have direct access to Salesforce can still provide valuable input on these decisions, ensuring a comprehensive perspective is considered. This feature enhances collaboration and decision-making efficacy across diverse teams.

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
Salesforce

Integrations

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

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

Passage Technology

Founded

2008

Country

United States

Website

www.passagetechnology.com/prioritization-helper-overview

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

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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Alternatives

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