In this episode of Hub & Spoken, Jason Foster, CEO and Founder of Cynozure, speaks with Shachar Meir, a data advisor who has worked with organisations from startups to the likes of Meta and Paypal. Together, they explore why so many companies, even those with skilled data teams, solid platforms and plenty of data, still struggle to deliver real business value. Shachar's take is clear: the problem isn't technology - it's people, process, and culture. Too often, data teams focus on building sophisticated platforms instead of understanding the business problems they're meant to solve. His summary: why guess when you can know? This episode is a practical conversation for anyone looking to move their organisation from data chaos to data clarity. 🎧 Listen now to discover how clarity beats complexity in data strategy. Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. It works with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and data leadership. The company was named one of The Sunday Times' fastest-growing private companies in both 2022 and 2023 and recognised as The Best Place to Work in Data by DataIQ in 2023 and 2024. Cynozure is a certified B Corporation.
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Shachar Meir
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Shachar is a seasoned Data Executive with over 20 years experience in leading data teams across global organisations. He excels in transforming organisations and products by helping them find a path to growth using their data. Shachar has a proven track record of building and leading high-performing data and analytics teams in both startups (WorldRemit, Pontis), and large companies (PayPal, Meta). At Meta, Shachar was the Director of Data Engineering for Trust and Safety and London Data Engineering site lead. Shachar is now a Data Advisor, supporting companies and individuals in their data journey. Outside of work, Shachar enjoys quality time with his family, cooking, and flying airplanes and helicopters.
Bio from: Big Data LDN 2025
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