JMP Statistical Software
JMP, data analysis software Mac and Windows, combines powerful statistics with interactive visualization.
It is simple to import and process data. Drag-and-drop interface, dynamically linked graphics, libraries of advanced analytics functionality, scripting language, and ways to share findings with others allow users to dig deeper into their data with greater ease.
JMP was originally developed in 1980 to capture the new value of GUI for personal computers. JMP continues to add cutting-edge statistical methods to the software's functionality with every release. John Sall, the organization's founder, is still Chief Architect.
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IBM Cognos Analytics
Cognos Analytics with Watson brings BI to a new level with AI capabilities that provide a complete, trustworthy, and complete picture of your company. They can forecast the future, predict outcomes, and explain why they might happen. Built-in AI can be used to speed up and improve the blending of data or find the best tables for your model. AI can help you uncover hidden trends and drivers and provide insights in real-time. You can create powerful visualizations and tell the story of your data. You can also share insights via email or Slack. Combine advanced analytics with data science to unlock new opportunities. Self-service analytics that is governed and secures data from misuse adapts to your needs. You can deploy it wherever you need it - on premises, on the cloud, on IBM Cloud Pak®, for Data or as a hybrid option.
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Google Cloud Natural Language API
Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.
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Dovetail
Analyze data, share insights, and build your research library. Find opportunities and be a hero within your team. You can find patterns using a variety qualitative research methods, unstructured data, or video files. Dovetail is an analysis program you will love to use. Dovetail can be used to identify patterns in interviews, usability testing, surveys responses, and many other areas. Drag & drop intuitive controls make it easy to organize tags into a hierarchy. You can also add global tags to your project. You can transform qualitative data into quantitative data by adding highlights and visualize your work using a variety of charts. To add tags, simply highlight text and select the text. Transcribe video recordings to find patterns in interviews, usability tests, survey answers, and many other things. Turn qualitative data into quantitative data. You can filter, segment, and chart themes across transcripts, interview notes, survey responses, among other things.
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