by Julian | Feb 14, 2024 | Blog, Homepage Featured
Researchers used Omnisient to anonymise, protect, and analyse shopper data from a major loyalty programme to determine the impact of public employment programme on the South African economy. Loyalty shopper data shows the impact of public employment programme on the...
by Julian | Nov 22, 2023 | Case Study
Case Study How Banks use Shopping Data to determine Credit Risk Cross-Industry Collaboration: Banking and Retail Objective Use a retail grocer’s loyalty shopper data as an alternative data source for predicting credit risk among credit invisible applicants,...Discover our story, values, and the visionary team behind Omnisient, committed to redefining data collaboration with privacy at its core.
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A curated collection of content, from case studies and blog articles to explainer videos and FAQs, illuminating the future of data collaboration with Omnisient.
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The Morning Show interviewAnton Grutzmacher co-founder of Omnisient - 01 July 2024Interview of Omnisient co-founder Anton Grutzmacher on the lead up to his session at the 2024 Marketing Innovation Summit (1-2 August 2024 in Johannesburg, South Africa) on the use of...
Retail and BankingDiscovering the Financial Impact of a Retail Loyalty Program Objective Determine the actual financial impact of the retailer's loyalty program by comparing customer spending patterns before and after program enrolment.Overview Using Omnisient, the...
How We Enable You to Securely Build Privacy Protecting Data Ecosystems
Real-world scenarios showcasing the transformative impact of our platform across various operational and consumer-focused applications.
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African and MENA Businesses
One of the world’s biggest Credit Bureaus
Tailored data solutions across diverse industries, enhancing sector-specific strategies with innovative data use.
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African and MENA Businesses
Omnisient's Privacy-Preserving Data Collaboration platform incorporates Privacy Enhancing Technologies (PETs), a secure collaboration environment and embedded AI and analytics tools to eliminate risk, achieve regulatory compliance, and draw ground-breaking insights from consumer data.
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