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Improve Results Across Your Business
Predictive Text Analytics enables you to make true, multi-channel, customer relationship management (CRM) a reality for your organization.
By incorporating text mining with predictive analysis, you get detailed models of customer behavior and preferences that you can use throughout your organization.
In customer relationship management
- Analyze call center transcripts to identify customer concerns, then tie that information back to customer actions and segments
- Predict the offers customers are most likely to accept, increasing up-selling and cross-selling results whether in person, in the call center, or online
- Improve customer retention by determining which customer complaints are most likely to precede defection, and take action to prevent it
- Discover what drives customers to your customer service call center and identify areas for improvement
- Identify common customer complaints from online customers by analyzing customer e-mail and instant message transcripts. Use this information to identify areas of your site that need improvement
In survey research
- Get more in-depth information about customer preferences and perceptions by analyzing open-ended survey responses and using your discoveries to enhance predictive models
- Process even large volumes of open-ended survey responses quickly and accurately
- Find associations and correlations between different types of customer comments
In scientific research
- Enable research teams to stay current in their specialized fields efficiently and cost effectively
- Maximize research resources by predicting which efforts are most likely to be productive
- Monitor research trends, including the actions and relationships of colleagues in organizations doing similar research
- Review and analyze scientific articles contained in databases such as Medline® to understand gene or drug relationships
In government
- Better serve constituents by developing a deeper understanding of their needs, attitudes, and preferences
- Predict what types of fraud, waste, and abuse are likely to occur, and where, by analyzing textual information such as notes fields and e-mails
- Protect public safety and security more effectively by using predictive text analysis text to improve models of potential threats by individuals and groups
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