Detecting Fraud With Data Analytics Workshop

Dominating your industry today comes down to one thing: delivering a better experience. The only way to do so is reimagining how you use data. Join us at Beyond 2023 to see what it takes to deliver the modern data experience, get hands on with ground breaking technology, and learn firsthand from leaders at world’s most innovative companies.

Hear from world-leading experts who will talk you through their challenges, solutions, and predictions for the future. Gain insight and get practical advice to take back to the office. This year's case studies and contributors include: abrdn, Bank of England, CABI, Flanders' Department for the Environment and Spatial Planning, Dutch Development Bank, Elsevier, Farfetch, Göteborg Energi, Lexmark, MUFG Bank Ltd, NEST, OCI Chemical, Poslovna Intelligencija, PwC, Tata Steel Europe, The Openwork Partnership, University Hospitals Birmingham NHS Foundation Trust, The Very Group, Volvo Penta and many more. The event offers a meeting of the most innovative minds of major users of master data management and data governance from across Europe and beyond. By joining us you'll get to make long-lasting business connections.

Data is the crown jewels of an organization. It empowers companies to make informed business decisions, improve operations, reduce costs and increase revenue. Organizations are increasingly adopting DataOps to get full visibility and control of their data pipeline, boost efficiency and quality of data, fuel digital transformation initiatives and maximize business value. At DataOps Day, we’ll take a deep dive into the world of data and DataOps. Join us to hear from data and business leaders who have adopted DataOps to achieve their goals for quality, security and speed.

Industry leaders and practitioners show how data is shaping their respective industries and sub-industries – with the goal of sharing knowledge and applications that can be transferred cross-industry. The program will feature industry-specific data experts speaking to innovative applications and models being leveraged by their individual industries, with the goal of sharing transferable knowledge and techniques that data scientists and executives can apply in their own respective industries.