-99%

PROSUITE – QDA Miner 4.1 with WordStat 7.0.1 & Simstat 2.6 (Dec 2014)

Original price was: $6,685.00.Current price is: $89.00.

Size: 284.5 MB
Price:
$6685

Sale page: http://provalisresearch.com/order/

Description

Include:

– QDA Miner 4.1 ($2,195)

 -WordStat 7.0.1 ($3,795)

 -Simstat 2.6  ($695)

 

 

WHAT IS PROSUITE?

ProSuite is an integrated collection of Provalis Research text analytics tools that allow one to explore, analyze and relate both structured and unstructured data. Provalis Research Text Analytics Software allows one to perform  advanced computer assisted qualitative coding on documents and images using QDA Miner, to apply the powerful content analysis and text mining features of WordStat on textual data, and to perform advanced statistical analysis on numerical and categorical data using SimStat.

A HIGHLY ADVANCED CONTENT ANALYSIS AND TEXT-MINING SOFTWARE WITH UNMATCHED HANDLING AND ANALYSIS CAPABILITIES,

 

WordStat is a flexible and easy-to-use text analysis software – whether you need text mining tools for fast extraction of themes and trends, or careful and precise measurement with state-of-the-art quantitative content analysis tools. WordStat‘s seamless integration with SimStat – our statistical data analysis tool – QDA Miner – our qualitative data analysis software – and Stata – the comprensive statistical software from StataCorp, gives you unprecedented flexibility for analyzing text and relating its content to structured information, including numerical and categorical data.

 

WHAT IT IS USED FOR?

 

WordStat can be used by anyone who needs to quickly extract and analyze information from large amounts of documents. Our content analysis and text mining software is used for:

 

  • Content analysis of open-ended responses, interview or focus group transcripts
  • Business intelligence and competitive web sites analysis
  • Information extraction and knowledge discovery from incident reports, customer complaints
  • Content analysis of news coverage or scientific literature
  • Automatic tagging and classification of documents
  • Fraud detection, authorship attribution, patent analysis
  • Taxonomy development and validation

 

 

 

CONSIDERED BY MANY TO BE THE ONLY TRUE MIXED-METHODS QUALITATIVE DATA ANALYSIS SOFTWARE ON THE MARKET TODAY,

 

QDA Miner is an easy-to-use qualitative data analysis software package for coding, annotating, retrieving and analyzing small and large collections of documents and images. QDA Miner qualitative data analysis tool may be used to analyze interview or focus group transcripts, legal documents, journal articles, speeches, even entire books, as well as drawings, photographs, paintings, and other types of visual documents. Its seamless integration with SimStat, a statistical data analysis tool, and WordStat, a quantitative content analysis and text mining module, gives you unprecedented flexibility for analyzing text and relating its content to structured information including numerical and categorical data.

 

WHO USES QDA MINER?

 

QDA Miner qualitative data analysis software can be used by anyone who needs to code text or pictures, annotate, search,  explore and extract information from small or large collections of documents and images, including:

 

  • Researchers in social sciences, medicine, and psychology
  • Sociologists, political scientists and ethnographers
  • Business intelligence analysts, market researchers, pollsters, and CRM professionals
  • Crime analysts, fraud detection experts, lawyers, and paralegal professionals
  • Journalists, historians and research assistants
  • Document management specialists and librarians

 

 

SIMSTAT – STATISTICAL ANALYSIS AND BOOTSTRAPPING WITH POWERFUL AND EASY TO USE OUTPUT FEATURES

 

Simstat goes beyond mere statistical analysis. It offers output management features not found in any other program, as well as its own scripting language to automate statistical analysis and to write small applications, interactive tutorials with multimedia capabilities, as well as computer assisted interviewing systems.

 

Simstat supports not only numerical and categorical data, dates and short alpha-numeric variables but also memos and documents variables allowing one to store in the same project file responses to open-ended questions, interview transcripts, full reports, etc. Since all Provalis Research tools share the same file format, one can easily perform statistical analysis on numerical and categorical data using Simstat, perform qualitative coding on stored documents using QDA Miner or apply the powerful content analysis and text mining features of WordStat on those same documents. Moreover, the coexistence of numerical, categorical and textual data in the same data file gives a unique ability to explore relationships between numerical and textual variables or to compare qualitative codings or content categories between subgroups of individuals.