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features
design
support

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Write a Review

Description

NVivo enables users to extract greater value from qualitative and mixed methods data. By revealing deeper insights, it allows for the generation of well-supported and articulate findings that are underpinned by thorough evidence. The software enhances efficiency in research processes, facilitating more comprehensive analyses across diverse data sources while enabling users to robustly defend their conclusions. With industry-leading features tailored for researchers, NVivo empowers you to maximize the potential of your data. It aids in assessing and conveying the impact of programs, communities, and policies with concrete evidence. Moreover, it provides strategies to evaluate and bolster the effectiveness of non-profit programs and initiatives. Additionally, NVivo assists in analyzing population health trends, which can significantly shape policy decisions, healthcare practices, and educational frameworks. This multifaceted tool ultimately drives impactful research outcomes and fosters informed decision-making.

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

Screenshots View All

No images available

Integrations

Skimle Yes 
SurveyMonkey Enterprise Yes 

Integrations

Skimle No 
SurveyMonkey Enterprise No 

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 No 
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 Yes 
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

Lumivero

Founded

1995

Country

United States

Website

lumivero.com/products/nvivo/

Vendor Details

Company Name

WizSoft

Founded

1983

Country

United States

Website

www.wizsoft.com/products/wizwhy/

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 

Qualitative Data Analysis

Annotations No 
Collaboration No 
Data Visualization Yes 
Media Analytics Yes 
Mixed Methods Research Yes 
Multi-Language No 
Qualitative Comparative Analysis No 
Quantitative Content Analysis No 
Sentiment Analysis Yes 
Statistical Analysis No 
Text Analytics Yes 
User Research 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 

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