Established in 2019, Florida-based Intuizi is a leading data analytics firm that helps businesses find, understand, and act on huge volumes of mobile data at scale to drive optimal business results. The company was born from the passion of two entrepreneurs—Ron Donaire and Jeff Pescatello—to tap into enormous unused computational power and leverage that to disrupt the way businesses operate.
Unlike a typical data analytics firm, Intuizi ingests pseudonymized data from numerous sources uses high-performance CPUs and GPUs to perform geospatial analytics and applies them to help businesses explore traditionally inaccessible data relationships. To do this, they have developed a proprietary software solution. Designed to provide organizations with meaningful data-driven insights, this innovative platform helps clients understand their customers, improve media campaigns, make better decisions, and thereby outmaneuver their competitors.
“Our intelligent, data-as-a-service platform gathers massive amounts of data in a fast, efficient, and cost-effective manner via transparent and trustworthy paths,” says Ron Donaire, the Co-founder, and CEO of Intuizi. This includes a mobile device, point of interest, app download, and connected TV data, to name a few that can be used to identify behaviors, understand business trends, and inform strategy. The solution has a powerful, flexible business intelligence tool incorporated within to help brands, advertisers, and data scientists seamlessly feed data to both public and private data pools, giving Intuizi an edge over the competition.
Intuizi’s solution encompasses a suite of automated data mining, analytics, and reports that enable businesses to harness the power of their disparate datasets and create meaningful insights and business intelligence. “Clients can have access to data, analytics, and reporting simultaneously through an intuitive, easy-to-use UI while they can download analyzed data to their ecosystem to enrich their existing datasets,” adds Donaire. The platform also helps brands execute and navigate one-to-one, addressable marketing campaigns through integrations with their existing systems, including CRMs, DSPs, and more. This allows businesses to conquest against their competitors, regain lost basket items, find new loyal members, and significantly improve the financial returns on digital spending.
Intuizi caters to a broad customer base that includes grocery chains, restaurants, data analytics services, and B2B software solutions, to name a few. The company’s recent collaboration with a small farm-to-table quick-service restaurant (QSR) in the Northeast exemplifies its value proposition. Part of this endeavor was to understand their potential local competitors, which team Intuizi helped them achieve. Intuizi then designed a unique strategy, a competitive conquest campaign, to help them outperform their competitors. By analyzing the foot traffic patterns in the region, the company provided the client with a solution and process that helped them communicate and attract the perfect audience. Post collaboration, the client was able to increase their in-store sales by 40 percent year-over-year.
What gives Intuizi an edge over the competition is its ability to adhere to users’ privacy requirements and comply with data protection and privacy laws. The platform allows businesses to learn about “what, when, where, and how” while keeping user identity and other sensitive information unknowable. “Our patented technology and patent-pending methodology allow us to perform analysis on our clients’ information in an anonymous and/or pseudonymized basis while providing them with insights without sharing any user data,” says Donaire.
With such a powerful line of capabilities, Intuizi serves as a go-to partner that helps clients improve business intelligence and produce highly accurate, predictive, behavioral insights, and audiences. Moving ahead, the company is bringing in demographic information into the platform to empower it with eCommerce and night-time visitation capabilities. “We will soon aggregate anonymous credit card transaction data, allowing clients to look at time series analysis of foot traffic in correlation with credit card transactions that happen both online and offline,” concludes Donaire.
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