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Average Ratings 0 Ratings
Description
Integrate AI-Powered Analytics into Your Spreadsheet Data Effortlessly. With a user-friendly interface reminiscent of Excel, professionals in finance, operations, and sales can harness their data to uncover insights that lead to informed decision-making, enhanced planning, operational efficiency, cost reductions, and revenue growth, all without requiring expertise in statistics, data science, or programming. The answer lies in Aurora Disruptive AI that operates without requiring machine learning. Our SaaS platform seamlessly processes spreadsheet data, providing remarkable insights, trends, correlations, and more within moments, significantly impacting business performance. The integrated AI functionality requires no coding or machine learning knowledge, enabling users to work with imperfect data. AI-Powered Analytics Accessible to All Excel Users. Collect Your Data Effortlessly from spreadsheets, transactional systems, data warehouses, or data marts through direct connections or by selecting files from your desktop. With a straightforward user experience and a Rapid Start training session lasting just an hour, you will quickly be equipped to upload data and create models that drive results. This simplicity ensures that anyone, regardless of their technical background, can leverage the power of AI for their analytics needs.
Description
WizWhy analyzes how the values of one data field are influenced by the values of other fields in the dataset. The analysis hinges on a dependent variable chosen by the user, while the remaining fields act as independent variables or conditions. This dependent variable can be examined in two ways: as a Boolean value or as a continuous measurement.
Users have the ability to refine their analysis by setting various parameters, including the minimum probability for rule formation, the least number of instances required for each rule, and the comparative costs associated with false negatives versus false positives.
WizWhy identifies and presents a series of rules that connect the dependent variable with other fields, expressing these rules using if-then and if-and-only-if constructs. Based on the identified rules, WizWhy highlights significant patterns, reveals unexpected rules that may indicate interesting phenomena, and points out unusual cases within the dataset. Additionally, WizWhy is capable of making predictions for new instances by leveraging the established rules.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Aurora Predictions
Founded
2014
Country
United States
Website
aurorapredictions.com
Vendor Details
Company Name
WizSoft
Founded
1983
Country
United States
Website
www.wizsoft.com/products/wizwhy/
Product Features
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
No
Predictive Analytics
Yes
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Predictive Analytics
AI / Machine Learning
Yes
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
Yes
For Education
No
For Healthcare
No
Modeling & Simulation
Yes
Sentiment Analysis
No
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Mining
Data Extraction
No
Data Visualization
No
Fraud Detection
No
Linked Data Management
No
Machine Learning
No
Predictive Modeling
No
Semantic Search
No
Statistical Analysis
No
Text Mining
No
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
No
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
No
User Research Analysis
No