Harmoni
A powerful data analysis and visualization platform specifically designed for market research data. Harmoni can do it all, from data processing to analysis, reporting and visualization, as well as distribution, alerts and distribution. Spend less time processing data and more time analysing it. Harmoni automates your job. Harmoni makes it easy to share valuable and actionable insights with stakeholders. Although market research budgets are shrinking in number, expectations are increasing. Harmoni allows you to slice and dice data as the questions are asked. Harmoni allows you to combine multiple data sources into one usable set. Harmoni supports many data sources including IBM SPSS®, SQL and Microsoft Excel, CSV, tab delimited files, Dimensions and more. Harmoni is integrated with popular market research platforms such as Voxco and FocusVision Decipher.
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Sogolytics, an experience management platform, allows companies to collect, analyze and use employee and customer data to drive business growth. Sogolytics is used by organizations across all industries to track interactions at all touchpoints with customers and employees. The best-in-class reporting delivers real-time, actionable insights that help to prevent and mitigate potential problems.
SogoCX improves every aspect of a company's customer experience. This means improved conversion rates, simplified data management, and understanding customers to increase return on investment. Organizations can use SogoCX to measure key metrics like NPS, CSAT and CES.
SogoEX software is used by organizations to collect and use data to improve engagement and reduce turnover. This platform allows HR and leadership to drive organizational changes through real-time feedback collection and employee engagement.
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ClientZen
Your customer feedback is seamlessly aggregated and converted into practical insights through the power of AI. By bringing together diverse feedback from various channels and departments such as sales, support, and customer success, you can ensure no important insight slips through the cracks. Save countless hours by eliminating the cumbersome feedback analysis process with automated tagging that you have full control over. You can easily assess whether your most recent release leads to satisfaction or grievances. Gain clarity on how issues evolve over time with each update, allowing you to identify emerging trends and potential customer frustrations. Validate which topics resonate most with your different customer segments. All feature requests are systematically logged and tagged, enhanced through sophisticated sentiment analysis. With this tool, you can see how your product enhancements have addressed issues or alleviated pain points based on customer feedback. ClientZen accelerates your ability to find answers, empowering you to concentrate on your overarching goals and aspirations while staying attuned to the voice of your customers. This way, you can make informed decisions that drive your business forward.
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Google Cloud Natural Language API
Leverage advanced machine learning techniques for thorough text analysis that can extract, interpret, and securely store textual data. With AutoML, you can create top-tier custom machine learning models effortlessly, without writing any code. Implement natural language understanding through the Natural Language API to enhance your applications. Utilize entity analysis to pinpoint and categorize various fields in documents, such as emails, chats, and social media interactions, followed by sentiment analysis to gauge customer feedback and derive actionable insights for product improvements and user experience. The Natural Language API, combined with speech-to-text capabilities, can also provide valuable insights from audio sources. Additionally, the Vision API enhances your capabilities with optical character recognition (OCR) for digitizing scanned documents. The Translation API further enables sentiment understanding across diverse languages. With custom entity extraction, you can identify specialized entities within your documents that may not be recognized by standard models, saving both time and resources on manual processing. Ultimately, you can train your own high-quality machine learning models to effectively classify, extract, and assess sentiment, making your analysis more targeted and efficient. This comprehensive approach ensures a robust understanding of textual and audio data, empowering businesses with deeper insights.
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