MAXQDA

MAXQDA

VERBI Software
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About

DataLumio is a no-code AI-powered data analysis platform that helps users transform raw data and documents into actionable insights. Upload Excel files, CSV datasets, PDFs, survey responses, interview transcripts, and research documents to automatically clean, analyze, visualize, and generate professional reports without coding. The platform supports qualitative and quantitative analysis, AI-powered document intelligence, thematic analysis, statistical summaries, dashboard creation, and automated reporting. Built for researchers, analysts, students, businesses, NGOs, and decision-makers, DataLumio streamlines the entire analytics workflow from data ingestion to insight generation, helping users save time, improve accuracy, and make data-driven decisions faster. Keywords: AI data analysis, no-code analytics, qualitative research, quantitative analysis, survey analytics, document analysis, PDF chat, data visualization, dashboards, automated reporting, research automation.

About

Analyze all kinds of data – from texts to images and audio/video files, websites, tweets, focus group discussions, survey responses, and much more. MAXQDA is at once powerful and easy-to-use, innovative and user-friendly, as well as the only leading QDA software that is 100% identical on Windows and Mac. No matter how you conducted your interviews in the field – MAXQDA can handle all files. Import handwritten notes, audio and video recordings, transcripts from transcription services and Word or PDF files with highlighting and comments. Assign your documents specific colors and organize them in document groups by location, time, topic, or category for example. Easily transcribe audio or video files with the integrated MAXQDA transcription tool. Directly begin to code your data, add memos, and paraphrase while you transcribe, to make sure that you get all of your first ideas down right when they come to you.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Medical Researchers, Students, Market Researchers, Teachers, Professors

Audience

Data analysis solution for businesses

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$5/month
Free Version
Free Trial

Pricing

$45 per user per month
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • A good statistics software should have an intuitive and easy-to-navigate interface, allowing both beginners and experts to use it efficiently. Clear menus, well-organized toolbars, and comprehensive help options are essential. Comprehensive Statistical Tools: It should offer a wide range of statistical functions, from basic descriptive statistics (mean, median, standard deviation) to more complex inferential statistics (hypothesis testing, regression analysis, ANOVA, etc.). Specialized methods such as time-series analysis, multivariate analysis, and Bayesian statistics are also valuable. Data Import and Export Capabilities: The software should support importing data from various formats (e.g., Excel, CSV, SPSS, SAS, and databases) and exporting results into formats like PDF, Excel, or image files for easy reporting. Data Visualization: Strong data visualization features, such as customizable charts, histograms, scatter plots, and heatmaps, help users better understand and present their data. The ability to create high-quality, publication-ready visuals is a plus. Advanced Analytical Features: Advanced tools like machine learning algorithms, multivariate analysis, and time-series forecasting can greatly enhance the software's capabilities for complex data analysis.

Cons

  • Limited Support for Unstructured Data Problem: Traditional statistical software may struggle to handle unstructured data, such as free text, images, or sensor data. Impact: This limits the application of the software in areas like sentiment analysis, natural language processing (NLP), or image analysis.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DataLumio
Founded: 2025
United Kingdom
datalumio.co

Company Information

VERBI Software
Founded: 1989
Germany
www.maxqda.com

Alternatives

Alternatives

ATLAS.ti

ATLAS.ti

ATLAS.ti Scientific Software Development GmbH
COSTAQDA

COSTAQDA

Global Centre for Academic Research
PulseLake

PulseLake

CerebrixOS
Datavore

Datavore

Datavore Labs
QDA Miner

QDA Miner

Provalis Research
MM Studio

MM Studio

ReliCheck

Categories

Categories

Data Analysis Features

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

Qualitative Data Analysis Features

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

Integrations

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

Integrations

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