IBM® SPSS® Text Analytics for Surveys uses powerful natural language processing (NLP) technologies specifically designed for survey text. It leads the way in unlocking open-ended responses for better insight and statistical analysis.
Text Analysis Demo
Learn how you can effectively transform unstructured survey data into quantitative data and discover insights using sentiment analysis.
Watch this recorded Demo!
IDS-TILDA gains new insights with computer-aided interviewing
IDS-TILDA (The Intellectual Disability Supplement to The Irish Longitudinal Study on Ageing) develops accessible interactive surveys to understand the needs of older people with intellectual disabilities. Read more
Survey analysts can automate the categorisation process, providing greater value to business users and survey research clients without the drudgery, time and expense associated with manual coding.
IBM SPSS Text Analytics for Surveys uses proven linguistics-based technologies that cut through the ambiguities of human language – helping you uncover patterns in the attitudes, beliefs and opinions of others. The software is available toanalyse text in English, Dutch, French, German, Spanish and Japanese.
The English-language version also includes an interface that supports third party translation options purchased separately.
Using Customer Feedback to Drive Profitability
Bank of Ireland: Addressing Customer Satisfaction Issues in Real Time with SPSS. Read more
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SPSS predictive analytics software has been integrated into our business processes and has proven to be absolutely necessary for processing applications and ensuring that they are handled with the consistency we need.
Nils StaibCredit Manager at IKANO Finans
We are now better at sending the right emails to the right people at the right time. This new targeted approach with IBM SPSS Modeler helps Avis cut email marketing costs almost by half and, hence, maximise revenue.
Chris ParkerDirect Analytics Specialist at Avis Europe
Seeing the world through the customers eyes is at the heart of our business. Customer information and feedback is key to this process and is enabling us to take a proactive approach to one of our industrys most pressing problems.
SPSS has more than paid for itself in the short time we've had it and, as a result, we've started to use text mining tools from the company to look at customer records in call centers. In the analytics team at least, SPSS is the fundamental tool in our toolkit, and has more than proved its value.
Stewart RobbinsCustomer knowledge manager at Powergen
After a thorough investigation of the analytical solutions in the market, we selected IBM SPSS predictive analytics software for its ease of use for the business users and the extensive insight it provides into customer behavior and profitability.
Paul GroenlandProject manager, database marketing at Rabobank
Using IBM SPSS Statistics and IBM SPSS Modeler, we have improved customer retention by 7 percent, with 54 percent of Fiat customers now replacing their existing cars with another Fiat brand.
Giovanni LuxCustomer intelligence and advocacy manager at Fiat Group Automobiles