Connect Stilingue to Qlik Sense: Dashboards in Minutes
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Visualize Stilingue Data in Qlik Sense
Connect Stilingue to Kondado to visualize social listening data directly in Qlik Sense without technical complications. The Via Kondado connection eliminates intermediate databases and complex setup, allowing marketing managers and data analysts to monitor brand reputation on a configurable schedule. The platform keeps sentiment and customer experience metrics automatically updated in your dashboards, keeping your operations team informed about trends, reputation crises, and engagement opportunities in time for strategic action and data-driven decisions.
Kondado connects Stilingue to Qlik Sense in minutes with no code required, letting you configure data refresh frequency: every 5 minutes, 15 minutes, hourly, or daily, ensuring your sentiment analysis stays current for quick business decisions.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
Combining Stilingue with Qlik Sense transforms social listening data into actionable insights for traffic managers and sales leaders. The Sentiment by Terms and Sentiment by Hashtags pipelines let you quickly identify how audiences react to specific campaigns and brand hashtags, while Sentiment by Themes helps categorize conversations by relevant subjects. With this centralized information, your team can adjust communication and support strategies based on concrete polarity and mention volume data.
Try out all the features for free for 14 days
Stilingue data available in Qlik Sense
Available integrations
| Integration | Description |
|---|---|
| Sentiment by Terms | Analyzes sentiment towards specific terms, presenting metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
| Sentiment by Themes | Evaluates sentiment towards themes, including metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
| Sentiment by Hashtags | Examines sentiment associated with hashtags, featuring metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
| Sentiment by Tags | Investigates sentiment towards tags, presenting metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
| Sentiment by Groups | Analyzes sentiment towards groups, with metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
Try out all the features for free for 14 days
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