Products
ZettaSense is an advanced analytics platform designed to Manage, Ingest, Classify, Resolve, and Consume Big Data.
What ZettaSense does
ZettaSense automates Data Integration and Cleaning.
Our software scans data from multiple data sources, identifies data duplication and uses machine learning to clean and remediate data, with no programming required.
Where ZettaSense can be applied
Know Your Customer for AML/Name Screening and Tax Regulatory Compliance
Use Case
Integrating customer, beneficiary ownership and counterparty master data across all product accounts and relationships in order to create an effective understanding of who a customer is, where they are domiciled, and who they do business with.
Customer Data Privacy Regulation Compliance (GDPR, CCPA)
Use Case
Integrating customer master data from across all internal business systems in order to know which systems host which customers’ data, so that the appropriate data privacy controls can be implemented on those systems (e.g., protect or delete data).
Customer 360 for Cross-Sell / Upsell
Use Case
Integrating customer, account and transaction data across all of a business’ products, regions and functions in order to create a comprehensive view of a customer, and all of their relationships with an organization.
ZettaInsights is a high-performance computing solution and analytics platform that enables analysts to perform Data Science at supercomputing capacity.
What ZettaInsights does
ZettaInsights simplifies the building of
sophisticated Data Science Models.
Our software helps clients find insights out of
data in record time, without the need for
expensive and scarce data scientist resources;
or extensive IT investment.
Where ZettaInsights can be applied
Fraud / Money Laundering Risk Detection
Use Case
Employing new ML techniques to spot fraud or money laundering with much lower false positive rates compared to existing rules-based techniques.
New Customer Acquisition
Use Case
Employing new ML techniques to cluster and segment prospects and customers, identify most likely new customer candidates, target the most suitable products to them at the optimal price point, and deliver an offer via the optimal communication channel.
Existing Customer Cross-Sell / Upsell
Use Case
Employing new ML techniques to cluster customers into peer groups, spot the most suitable new products or services to recommend to them at the optimal price point, and deliver an offer via the optimal communication channel.
Existing Customer Delinquency / Churn
Use Case
Employing new ML techniques to spot early warning indicators of customer churn or predict likelihood of delinquency in making timely payments.