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Adam Barrowcliff

Co-founder & Chief Data Officer at HyperFinity

Adam Barrowcliff's work experience begins in 2007 as a Graduate Analyst at Atkins. Adam then went on to work as a Senior SAS Insight Analyst at Direct Line Group from 2010 to 2012. From 2012 to 2017, Barrowcliff held various roles at Callcredit Information Group, including Senior Analyst, Senior Consultant, and Senior Manager. In 2017, they joined First Derivatives as a Manager of Retail Analytics, responsible for leveraging the kdb+ database for big data analytics. In the same year, they also took on the role of Manager of Retail Analytics at Kx Systems. In 2019, Barrowcliff became the Co-founder and Chief Data Officer at Method Analytics Ltd and HyperFinity, focusing on making decision intelligence accessible to retailers and brands.

Adam Barrowcliff earned a Bachelor's Degree in Mathematics from The University of Manchester, where they studied from 2004 to 2007. Prior to that, they attended Runshaw College from 2002 to 2004, also focusing on Mathematics. In addition to their formal education, Adam holds several certifications, including R Programming and The Data Scientist's Toolbox, both obtained from Coursera Verified Certificates in July 2014. Adam also obtained the SAS Certified Base Programmer for SAS 9 certification from SAS in March 2011.

Location

Leeds, United Kingdom

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HyperFinity

We use decision intelligence to help retailers sell the right products, to the right people, for the right price. Our HyperFinity SaaS product democratises the use of advanced analytics to generate deep customer insight and to make data driven decisions across key business areas. At the core of our product is a super-fast, cloud-based architecture that enables ETL, feature engineering and machine learning all in one place. Our analytics engine performs affinity analytics and attribution at extreme speed to create and understand customer need states, using anonymised, multi-channel customer data. It predicts the impact of decisions, such as where demand will be transferred to if a product is removed from or substituted in a range or what is the optimal combination of products for individual stores, based on the customers who shop there. And our easy to use, highly visual UI gives non-technical people access to powerful insights from data science, which help them make improved, customer led decisions. Our solutions are backed by our own knowledge and experience gained in leading consumer businesses, such as Asda, Walmart and Sky, plus innovative data, analytics, and technology companies. We offer expert and pragmatic guidance on applying our products, not leaving you to figure it out on your own. In parallel with our SaaS product, we deliver expert retail data science and data strategy consulting on either a project or retained basis.


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Employees

11-50

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