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What is QDA Miner?

QDA Miner Lite is a free and intuitive version of our renowned software tailored for computer-assisted qualitative analysis. This application is perfect for examining various forms of textual data, such as interview transcripts, news articles, and open-ended survey responses, in addition to assessing still images. Users can seamlessly import documents in multiple formats including plain text, RTF, HTML, PDF, and data from Excel, MS Access, CSV, and tab-delimited text files. Moreover, it allows for the integration of data from other qualitative coding programs like Atlas.ti, HyperResearch, and Ethnograph, as well as from transcription software like Transana and Transcriber, including Reference Information System (.RIS) files. The software provides the ability for users to add comments or memos to coded segments, cases, or entire projects, which significantly enhances the analytical workflow. Users can extract coded data using Boolean operators (and, or, not) and proximity operators (includes, enclosed, near, before, after) to achieve greater precision in their analyses. Additionally, tables can be exported in various formats such as XLS, Tab Delimited, CSV, and Word, facilitating easier data sharing and reporting. The user interface, along with the help documentation, is accessible in English, French, and Spanish, promoting inclusivity for a wide range of users. This extensive functionality establishes QDA Miner Lite as a valuable tool for researchers and analysts aiming to simplify their qualitative data analysis processes. Ultimately, it empowers users to derive deeper insights from their data effectively.

What is DataLumio?

DataLumio streamlines the data extraction process, allowing users to effortlessly collect and organize information from diverse sources such as PDFs, spreadsheets, research articles, survey results, and various datasets. Leveraging advanced AI processing capabilities, the platform identifies relevant content and arranges it systematically, preparing the information for detailed analysis and reporting. This cutting-edge method reduces the need for manual effort and boosts productivity for researchers, analysts, students, and organizations engaged in transforming large volumes of data and documents into actionable insights. By utilizing DataLumio, users can ultimately accelerate their decision-making processes, leading to more effective outcomes. In an age where timely information is crucial, this tool becomes an invaluable asset for anyone looking to enhance their analytical capabilities.

Media

Media

Integrations Supported

Aiven for PostgreSQL
BI Service for SharePoint
Databricks
Google Ads
Google Cloud BigQuery
Google Drive
Google Sheets
Meta Ads
Microsoft Access
Microsoft Excel
Microsoft OneDrive
MySQL
Slack
Snowflake
Supabase
Transana
Vertica

Integrations Supported

Aiven for PostgreSQL
BI Service for SharePoint
Databricks
Google Ads
Google Cloud BigQuery
Google Drive
Google Sheets
Meta Ads
Microsoft Access
Microsoft Excel
Microsoft OneDrive
MySQL
Slack
Snowflake
Supabase
Transana
Vertica

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$5/month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Provalis Research

Date Founded

1989

Company Location

Canada

Company Website

provalisresearch.com/products/qualitative-data-analysis-software/freeware/

Company Facts

Organization Name

DataLumio

Date Founded

2025

Company Location

United Kingdom

Company Website

datalumio.co

Categories and Features

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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