Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Graphs are generated automatically as a result of data input, eliminating the need for any further steps to produce them. Each component can be visualized according to the default configurations established in System Setup, or users have the flexibility to create a personalized display for each element. Those with the appropriate permissions can access the graphical data and engage in tasks such as approving Corrective Actions and adding Notes. Within the DOCS section, users have the capability to attach various documents including procedures, work instructions, MSDS sheets, videos, photos, or any other necessary documentation. Essentially, if it can be displayed on your computer, TrueChem can showcase it as well. This feature ensures that essential information is readily available when needed the most. Additionally, the system provides Rules and Rule Sets, enabling users to establish “If-Then” scenarios that monitor specific conditions and trigger corresponding actions automatically when those conditions are met. For instance, the configuration can be set to generate a pop-up notification, dispatch an email, or execute other functions based on user-defined criteria, enhancing user interactivity and responsiveness. Overall, this functionality significantly improves the efficiency of managing data and documentation.
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
No
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
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
TrueLogic
Website
www.truelogiccompany.com
Vendor Details
Company Name
WizSoft
Founded
1983
Country
United States
Website
www.wizsoft.com/products/wizwhy/
Product Features
Medical Lab
Audit Trail
No
Data Analysis Auditing
No
Data Security
Yes
EMR Interface
No
Fax Management
No
Lab Instrument Interface
No
Multi-Location Printing
No
Online Instrumentation
No
Physician Test Panels
No
Procedure-Based Billing
No
Sample Tracking
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