Data analysis in Qualitative research

Data analysis can tell you what is happening, but it won't tell you why. So qualitative approaches are a must to bring together the what and the why! An enticing thought advancing towards AI, ML, and predictive analytics is that more data is better. Why wouldn’t it be? As data is the new fuel of the upcoming digital economy, the quantity of data matters. But does quantity ensure quality data? How does it impact companies? The technologies required in qualitative research data analysis exist in a wide range. It helps to explain the varied use — by organizations and vendors. Every organization uses data widely today. Although not all data is used for analytics; analytics cannot be conducted without data.