Even with little experience in Sentiment Analysis, you should still end up with some pretty powerful findings. For example, if you’re looking at customer reviews associated with the store visited, you can compare average sentiment scores, or commonly used words across different stores, regions, and markets in your company. In addition, if you have access to operations data, you could even compare average scores to net sales of each store. You can also use MicroStrategy’s built in data connection with Twitter to analyze how your company is perceived on social media. You could begin to identify trending words used in tweets and the sentiments surrounding those words. While you can’t gain much twitter data regarding operations, it could be useful for marketing teams.
The impact that an analysis like this could have is huge. We are able to quantify customer responses with high accuracy, and use those scores to discover patterns that could benefit both marketing and operations. We already see how managers at all levels can leverage these findings to help improve operations, boost customer service ratings, and maintain brand reputation. We’re excited to share more on this topic in future blog posts where we’ll discuss the various Sentiment Analysis dictionaries, R-Studio with SQL Server, and performance indicators that can be leveraged in our business landscape. Stay tuned for more!