How to create a successful enterprise data science capability
Head of Data Science & Algorithms at Sainsbury’s shares practical advice from implementing his Guerrilla Analytics Principles to make data science successful.
Is your data science strategy suffering from confusion, hype and failure to start?
Many data science initiatives fail to launch because organisations do not understand the dependencies, people, process and technologies needed to make data science work for them. This is all the more challenging in large enterprises with legacy systems, technology constraints and a business culture that is not data driven. Find out the steps you need to take to successfully leverage data science in your enterprise.
Enda Ridge is the author of Guerrilla Analytics and Head of Data Science & Algorithms at Sainsbury’s, one of Britain's oldest and largest grocery retailers. In this session, Ridge outlines the key principles to a successful data science strategy. Along the way, he shares practical advice and learnings from implementing his Guerrilla Analytics Principles in enterprises to make data science successful.
Presenters:
Enda Ridge
Head of Data Science and Algorithms
Sainsbury's Supermarkets
Enda Ridge is the Head of Data Science and Algorithms at Sainsbury's Supermarkets and the author of Guerrilla Analytics. He is an accomplished data scientist who sets up and grows data science teams to help businesses leverage data to stay competitive.
Ridge founded Sainsbury's Supermarkets' first data science team and his experience spans 10 years of consulting, software pre-sales and academic research. He has consulted to clients in the public and private sectors including financial services, insurance, audit, IT security and Retail. He is an expert in the agile delivery of practical data science where data and requirements change often and results must be explainable to high profile busisness and regulatory stakeholders.
Ridge is also the author of the book "Guerrilla Analytics - a practical approach to working with data".
