Case Study: Global Quick Service Restaurant achieves faster, more accurate customer feedback analysis with Wavicle Data Solutions

For world’s largest QSR, improving customer satisfaction begins with superior text analytics

Global Quick Service Restaurant, one of the world’s largest QSRs, needed a faster and more accurate way to interpret customer feedback from surveys and social media. Its existing text analytics tools produced inconsistent results across unstructured comments, making it harder for the consumer insights and social listening teams to uncover sentiment and context at scale. Wavicle Data Solutions stepped in with its ActiveInsights™ text analytics solution.

Wavicle Data Solutions implemented ActiveInsights™ on Amazon Redshift, using Talend cloud data integration and Amazon Comprehend to ingest and analyze about 95,000 user comments daily. By breaking comments into sub-comments and assigning sentiment at the topic level, the solution improved reporting accuracy and consistency, helping the QSR process unstructured text 10x faster with up to 70% greater accuracy.