![]() ![]() Our artificial intelligence and machine learning tools make finding insights in your research project easy. Whatever it is, you can import data into one central location in ATLAS.ti – enabling you to leverage qualitative and mixed methods for your research projects. Unlike quantitative data tools, our software supports all major forms of data so that you can conduct qualitative data analysis on any research project, even customer feedback, textual data, pictures, and video recordings. Whether you rely on transcripts from focus groups, observation notes, survey responses, or even audio and video files – you can analyze it all with ATLAS.ti. Cover all your qualitative data analysis needs More than text mining: This groundbreaking analysis tool empowers users from all fields of work by drastically reducing the overall coding and analysis time. Our automatic AI Coding feature uses OpenAI's GPT model, which can understand natural language on a human-like level. Plus, you can utilize a code hierarchy with a tree structure for better code management. This way, you can analyze qualitative data faster than ever. In addition, our qualitative software offers tools to automatically create coded segments in your data and quickly identify themes.ĪTLAS.ti's qualitative data analysis tools enable you to organize all your text data (i.e., from customer interviews or focus groups) in one place. With ATLAS.ti, you can import data from any source and gain deeper insights using AI. Transforming text-based data into valuable insights can be time-consuming. Our user-friendly qualitative data analysis software makes it easy to upload files and analyze data quickly and efficiently so that you can make the most out of your research. Users can collect and analyze data on the major operating systems (Windows and macOS), even with our Web version for browsers. It covers everything from qualitative text analysis and evaluation of customer interviews to web content analysis and specific business intelligence tasks. Here are just a few reasons to choose ATLAS.ti: An intuitive interface made for qualitative researchĪTLAS.ti caters to both research professionals and beginners. Our top-rated QDA software is perfect for students, researchers, academic institutions, and commercial enterprises – offering a wide array of AI-driven analysis tools to help you succeed. ATLAS.ti fully supports Unicode and can process documents in any language and character set.If you're considering ATLAS.ti for qualitative data analysis, you're making a wise choice.ATLAS.ti provides an outstanding range of means for you to work with: Whether it is encoding hundreds of documents, audio clips or pictures, ATLAS.ti will never disappoint.Or, enter the entire survey to analyze answers to open-ended questions. You can import data from Evernote, Twitter, and your favorite Reference Manager to review documents.wma, etc.) as well as most popular video types (.avi. ![]() Enjoy the freedom to work with dozens of graphic and audio formats (.wav, mp3.Works with text documents in all major formats, including txt.Audience Manager, Project Explorer, and Co-Occurrence Explorer allow you to browse and navigate through your project data. Encryption can be done by dragging the codes onto the selected part of the data. Quick and comfortable access to all the basic elements of a project such as documents, marked / encoded data segments, codes, memos, hyperlinks, groups or networks. Your central workspace in ATLAS.ti serves as a data container for your project. Whether your field is anthropology, economics, criminology or medicine: ATLAS.ti will fulfill your qualitative analysis needs! ATLAS.ti helps you focus on the document itself. Sophisticated tools help you organize, gather, and manage your documents in creative, but systematic ways. Download ATLAS.ti 9 - Versatile, powerful tool for qualitative analysis of large portions of text, graphics, audio and video data ATLAS.ti:ĪTLAS.ti is a powerful workbench for qualitative analysis of large pieces of text, graphics, audio, and video data. ![]()
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