Customer data anonymization in market research and product planning with InSaaS.ai
About the customer and the challenge
InSaaS.ai is creating solutions supporting data analytics for marketing, market research, and product development purposes.
The company is working with massive amounts of textual data, coming both from publicly available sources, such as social media or online forums, also including internal data from their customers. All the mentioned sources might include personally identifiable information (PII) which are subject to data privacy regulations such as GDPR in Europe.
To solve these challenges, we used our data anonymization engine ShareMedix, which allows for quick anonymization of big amounts of textual data. Thank to applying the Natural Language Processing (NLP) techniques it automatically detects and masks personal information of the customers and users, such as names, addresses, phone and IBAN numbers, and more.
For seamless integration with the current processes, InSaaS.ai is taking advantage of our data anonymization API, which processes multiple requests in parallel to prepare the data for further analysis and discovery of hidden insights.
To learn more about ShareMedix click below
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