Our mission is to empower direct-to-consumer companies with the next generation of business intelligence software. Drawing from extensive industry experience, we provide a Smart Data Layer™ that streamlines the integration, standardization, and execution of reporting and analytics, enabling powerful, relevant insights for businesses to thrive in today’s market.
Unlike others, our platform's foundation lies in seamlessly integrating data sources to standardize and streamline analytics, ensuring efficiency and accuracy in insights.
Our team's deep industry experience informs our product development, offering tailored solutions that directly address the challenges faced by direct-to-consumer brands.
Build workflows and data pipelines to automate data processes and create modern analytics applications that can be embedded or shared.
Our commitment to leveraging the latest technologies means we constantly evolve our offerings to keep our clients ahead in a dynamic market.
Parinaz founded Blue Boat Data to help companies use analytics to significantly improve their productivity and performance.
She has spent the past 20 years building and leading analytics, data management, and digital marketing teams across Coach, Nike, Ralph Lauren, and Tapestry. She has built data management ecosystems including global databases across multiple brands and launched the data science functions at Nike, Ralph Lauren and Tapestry.
Parinaz has implemented and used over 60 marketing and tech vendor solutions, but has never found one that did everything she wanted it to. Blue Boat Data is her answer to building technology that solves the pain points that teams still face – systems are fragmented, hard to implement and manage, and in most cases not user friendly.
Parinaz is a strong believer that technology alone can’t help companies maximize value from their data. They need a strategic partner to help navigate the complex data economy and drive growth from breakthrough analytics. She founded Blue Boat to be that partner.
Hamed has over 10 years of experience in the design, research and development of cutting edge software technologies and applications related to data analysis including IOT, explainability, anomaly detection and robotics.
His past work and research experience includes building machine learning algorithms to enhance accuracy while minimizing computational complexity, redesigning the software architecture of robots to maximize their performance, and numerous big data technologies in a variety of domains.
Hamed has a B.Sc. in Hardware Engineering, a M.Sc. in Artificial Intelligence and a Ph.D. in Computer Science. He holds 10 patents and was a Distinguished University Researcher at Simon Fraser University.
