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ease
features
design
support

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Write a Review

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

A no-code AI platform designed for enterprises transforms raw data into enhanced business insights. In the pursuit of valuable information within extensive data lakes, misleading correlations can contaminate findings, resulting in unreliable signals for organizations. CausaLake smartly identifies the most relevant data tailored to specific use cases, standing out as the sole technology capable of delving beyond correlated indicators in comparable datasets to pinpoint causal factors. Causal AI models illustrate the workings of various systems, encompassing economies, businesses, and biological entities. They offer a high level of trust and transparency, merging the strengths of human expertise with artificial intelligence. CausaLab represents the pinnacle of causal model discovery technology. The essence of AI transcends mere future predictions; it aims to actively influence outcomes. For AI to facilitate high-quality decision-making, it must grasp the human context alongside the goals and limitations of organizations. To address this challenge, we introduced decisionOS, which effectively connects predictions with actionable decisions, empowering organizations to optimize their strategies.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Salesforce

Integrations

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

causaLens

Country

United Kingdom

Website

www.causalens.com/causal-decision-making-ai-platform/

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

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)

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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