What does “text analytics” mean to you and your organization? How do you plan to use Text Analytics in 2016? For MeaningCloud, as a text analytics tool vendor, having some answers to these questions is key to understand our market and define our product strategy: this was the purpose of the survey we kept open during some weeks, since the beginning of last October.
Even though the number of respondents was quite low (60) it is definitely possible to draw some conclusions and trends that we summarize in this post.
Applications: customer is first
What is your text analytics application scenario? No doubt this is the main question when one needs to analyze the uses of this technology. In our results, Understanding customer attitudes, behaviors, and needs was the most mentioned scenario (62%), followed by Research (48%) and Content Classification, recommendation, and personalization (43%) as it can be seen in the figure. The following two categories were Customer service, improving customer experience (40%) and Brand/reputation management (38%), which means that everything related to customer understanding, improving customer experience, and managing the brand lead the text analytics application area, coping 3 of the 5 first positions.