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Qualitative analysis

Do you need to know more about the opinions of your stakeholders, employees, or customers? Are you having trouble spotting patterns and important signals in the consumer comments on your website? Would you be interested in being able to use social media to see how consumers perceive your brand? The foundation of traditional analytics is numerical data. You can gain understanding and insight from text-based data using qualitative analytics. These can be gathered from reviews on your website, open-ended questions in surveys, focus groups, interviews, documents, social media, and other places where individuals can voice their opinions. We have an advanced set of tools that transform free-text comments into useful information.

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Examples of Qualitative analysis

  • Using sentiment analysis, you may find out how people feel about your brand and how that feeling evolves over time.
  • Searching for patterns in the language used to describe products, brands, or attitudes is known as text mining.
  • comparing ideas, opinions, or values in order to draw inferences about how they may be related in order to forecast future behavior.
  • Analysis of coincidence to determine document authenticity and assign authorship.
  • correspondence analysis to visualize data and pinpoint important population subgroups.

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