Omnisient

For banks, insurers, retailers, telecommunications companies and other consumer brands, Omnisient helps teams analyze customer data with business partners while limiting exposure of personal information. It is designed for organizations that want to compare or combine insights from separate datasets without exchanging the underlying customer records. Organizations use Omnisient’s onboarding tools to anonymize and tokenize data in their own environments before uploading it. Crypto-IDs let participating datasets be matched to identify shared customers, while access to the collaboration environment is limited to approved partners and governed by usage rules. Teams can analyze overlapping audiences, build predictive models and generate reports within the platform using tools such as SQLPad, Jupyter Notebook and Azure Machine Learning. Common applications include audience identification and marketing, assessing credit risk using alternative data, customer insights, benchmarking and data partnerships. Omnisient is intended for enterprise data teams and organizations handling sensitive consumer information, rather than for individual consumers seeking a personal finance or shopping app.

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