Provalis Research is the world's leading developer of text analysis software with ground-breaking qualitative and quantitative analysis programs, such as QDA Miner, an innovative mixed-models qualitative data analysis software; Simstat, an easy yet powerful statistical software; and WordStat, a powerful add-on module for computer assisted content analysis and text mining. The most distinctive feature of these tools is their interoperability, allowing researchers to seamlessly move back and forth between quantitative and qualitative data analysis.
Stone Bond Technologies leads the way in Data Virtualization through products like Enterprise Enabler. We make an enterprise’s data agile providing new capabilities and insights to the whole organization from the data scientists to the front-line business users. Stone Bond’s customers have... Read More
"DataSelf Analytics is an enterprise-level analytics platform designed for every business intelligence user at mid-sized companies from the CEO down. It’s self-service business intelligence at an SMB price. We start with the best technology, such as Tableau and Power BI for data discovery and...
QDA Miner is an easy-to-use model qualitative data analysis software package for coding, annotating, retrieving and analyzing small and large collections of documents and images. QDA Miner may be used to analyze interview or focus group transcripts, legal documents, journal articles, even... Read more
Whether you need a text mining tool for fast extraction of themes and trends or achieve careful and precise measurement with a state-of-the-art quantitative content analysis method, WordStat provides a unique combination of both approaches in a flexible and easy to use text analysis software.... Read more
Simstat is an easy-to-use statistical software offering a wide range of statistics, intuitive data and output management features as well as its own scripting language to automate statistical analysis and to write small applications, interactive tutorials, computer assisted interviewing... Read more
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