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Omnovos

At omNovos, we create the best customer engagement solution for your business. Our partnership approach starts with an in-depth understanding of your goals and systems to match the products and services to your business. Then we ensure the solution works with your environment and delivers on established KPIs. We deliver a product unique to your business, setting you apart from your competitors. omNovos is the retail spinoff of DataKinetics, the global leader in Data Performance and Optimization Solutions. DataKinetics is relied upon by many of the world’s largest banks, credit card companies, brokerages, insurers, and healthcare providers, to process over one billion account, credit card, and insurance claim transactions every day. In 2012, we realized the rules-based processing we had conducted over the past 40 years could be applied to the curation of personalized messaging. Because fraud detection is about knowing a customer—purchase habits, shopping patterns, and so on—we could add even more detail by leveraging our technology, connecting to all the systems in a retail environment. Our Unified Personalization Engine, PACE (Personalized Automated Customer Engagement) unifies the rules, content, real-time activity and Single-User-Profile to determine the next best action in engaging the customer. It builds a 360° Single-User-Profile of each customer across all channels, online, in-app, in-store, and delivers 1:1 personalized communications to create magical moments with your customers to drive in-depth engagements across all channels. With our flexible data architecture and expertise, you can quickly connect all aspects of your technology infrastructure and leverage customer data from any source or system. And with our advanced business intelligence you can access customer intelligence, interactions, engagements and back-office data to provide meaningful, accurate, and up-to-date insights for your decision-making.

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HeadquartersOttawa, CanadaEmployees3(11 to 50)Websiteomnovos.comLinkedIn profileLinkedIn

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