MIS 373 Lecture Notes - Lecture 16: Google Analytics, Tripadvisor, Sentiment Analysis

• School: UT-Austin
• Department: Management Information Systems
• Course: MIS 373
• Professor: A Barua

Document Summary

But big data would not be big with just numbers. ~ 80% of ugc today generated by social media. Web pages, online conversations/posts, digital libraries, etc. Fb: 4. 75 billion pieces of content shared daily. Publicly available home search data predicted changes in home prices better than. Data from googletrends & twitter could predict flu-related er visits long before cdc. Predict sales of new products much better than traditional forecasting models. What are the general business implications? forecasts of national association of realtors issued advisory. Free-form inputs (text) about lifestyle most important predictor. Predicting business outcomes from online conversations & wisdom of the crowd. A 50k feet overview of user generated content analytics. 1. democratization of the lady gaga effect : from channels to platforms, conversations are now visible, key themes, sentiments, attention, influence, etc. can be measured. New opportunities for push strategies, word-of-mouth & social influence. Not feasible if you have one-size-fits-all business strategy.