Overview
Analytics Intell is a data analytics and intelligence company headquartered in New York City [6]. Founded in 2013, the company provides analytics and data intelligence services, building integrated data platforms and tools to help organizations make data-driven business decisions [1][2]. Analytics Intell describes itself as a strategic data analytics company that provides professional services and deploys intelligent analytics solutions to help businesses find opportunities to increase performance factors [3]. The company's named products include Chat Intell for Gen-AI conversational analytics, Hyper Card, Slot Intell and Player Intell, alongside enterprise reporting, casino solutions and financial CECL/ALLL solutions [4]. Analytics Intell serves clients across finance, healthcare, hospitality, retail, gaming and government sectors [3], with customers including American Express, Bank of America, Merrill Lynch, UnitedHealth Group, Starwood Hotels and the NY Health Department [5]. The company operates with a fully remote workforce [8] and received a Small Business Award in 2020 [9].
Analytics Intell's named products include Chat Intell for Gen-AI conversational analytics, Hyper Card, Slot Intell and Player Intell, alongside enterprise reporting, casino solutions and financial CECL/ALLL solutions. [4]
Analytics Intell lists its headquarters as "45 Rockefeller Plaza, Suite 2000 New York City, NY 10111" with phone 212-913-9009. [6]
Customers
Analytics Intell's homepage client logo wall includes American Express, Bank of America, Merrill Lynch, DTCC, News Corp, Michael Kors, UnitedHealth Group, WakeMed, Prime Healthcare, Starwood Hotels, Ascena Retail, Grupo Bimbo, Oppenheimer, EviCore, Endo, PCBB and the NY Health Department. [5]
Growth & traction
Analytics Intell says it operates with "a fully remote workforce" and names seven executives on its leadership team, led by CEO David Bissainthe. [8]
Analytics Intell's homepage cites a Small Business Award received in 2020. [9]
Key people
Focus
- Analytics Intell's stated goal is to "create the tools to empower organizations to make insightful business decisions rooted in data intelligence," covering Gen-AI analytics, data quality and integration, platform design, predictive analytics, enterprise reporting and production support.[7]
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