Data analysis is an important skill in business, as it can help with everything from your marketing campaigns to financial decisions to improving the customer experience. There are a number of methods for good qualitative data analysis to help get the information you need.
Data collection
Before analysing data, you will first need to collect it. Much will be in your own records, such as information on the best-performing times of year for your business. But external data is also needed to optimise your data analysis. A good way to get data is to use a data collection company like //shepper.com, who can help with both the collection and analysis of data.
Three methods for data analysis
Qualitative data analysis takes your analysis beyond the numbers to better understand why certain patterns, underlying factors, and meanings occur.
Content analysis is often used in marketing. It can tell you a lot about public sentiment behind a particular product or your brand as a whole. It will often use mentions on social media or customer reviews to discover insights.
Sentiment analysis or opinion mining analyses textual data. As well as reviews and social media, it will also analyse emails and web chats, sorting comments into positive, negative, or neutral, allowing you to act accordingly with necessary changes.
Thematic analysis is another form of analysis that looks at texts. In this case, large chunks of text, such as interviews and transcripts. It then aims to categorise themes that occur frequently. This can give you valuable insights into users’ needs and their behaviour.
