Perceptual Quality

Truly understanding and managing the perceived quality of your products requires a comprehensive approach to integrating and analyzing social media, governmental and internal data sources. Applications that are simply listening platforms are not enough.

• Accumulate knowledge about relevant customer conversations. Integrate pertinent data across online channels, including government reporting systems, social media forums and internal sources, and then store that content in an analysis-ready format.
• Analyze customer issues down to the component level. Modify taxonomies so that they accurately represent your product component hierarchies.
• Quantify the impact of new product launches. Compare sentiment before and after a product launch and set alerts for component-level comments.
• Track social networks. Identify the most influential participants – those with the most friends and followers.
• Base product design on customer sentiment and preferences. Use a reporting and analysis platform that surfaces insights regarding the features that customers would most like to see added to future products.
• Integrate with other SAS manufacturing quality offerings to enhance the effectiveness of your issue detection and resolution.

• Combine and analyze quality data from diverse sources to gain insights that will help you create greater product value faster.
• Quickly identify emerging issues and provide useful information to your problem solvers by applying embedded, advanced analytics along with multilanguage support, hybrid sentiment analysis and component-level granularity.
• Use the latest machine-learning algorithms to discern sentiment and tone, while also allowing human experience to override rules.