Hosted by Kleene.ai in partnership with Payhawk, this webinar will explore the critical role CFOs play in leading data transformation initiatives that not only streamline operations but also unlock new revenue streams and generate cost savings across the organisation.
Attendees will gain practical insights on where to start, how to select best projects and best practises to lead data transformation and align financial objectives with broader business goals.
Agenda
How to identify and prioritise data projects that deliver maximum impact.
Best practices for leading data transformation while aligning financial objectives with broader business strategies.
Practical steps to automate workflows, eliminate inefficiencies, and achieve complete spend control and visibility across all entities.
Strategic thinker focused on helping companies build sustainable models to grow their businesses. Seasoned finance and investment professional with tech industry and management consulting background.
An established financial leader with a wealth of experience in financial strategy, fundraising and operational efficiency. An entrepreneurial spirit with expertise in leading driven teams to tackle unique challenges and organisational change....
Finance Director, BiscuiteersChartered Accountant with 8-years experience in global, high-growth companies. Commercially-minded with strong attention to detail and numerical aptitude.
Chartered Accountant with 8-years experience in global, high-growth companies. Commercially-minded with strong attention to detail and numerical aptitude.
Founder at Sawinsight. Advancing companies with their data strategy, infrastructure, teams and processes to create massive market advantage using data. NED at Kleene, Former CDO at Trainline, Just Eat and momondo
Kleene fast-tracks you to better decision-making, wherever you are on your data journey. It’s the only end-to-end platform that organises all your data—from raw data to a single source of truth and AI-powered decision intelligence-- no matter your company size.