How To Select The Best EHS Software For Your Business In An Age Of ESG

  • Webinar
  • Environment, Health & Safety

How To Select The Best EHS Software For Your Business In An Age Of ESG

In a landscape where the ESG and EHS software landscape is converging, how can organisations and EHS professionals navigate this and ensure the most efficient and effective best fit software solution is selected for their business?

Join this complimentary webinar when our expert advisory team will outline a best-practice approach on how to navigate the selection process and create a tailored shortlist of suitable health, safety, environment, and sustainability management software solutions.

  • Learn how to save months of effort in your vendor selection shortlisting process
  • Leverage our competitive green quadrant report to align your requirements to the capabilities of the different software vendors
  • Generate a customized benchmark that helps to isolate the best fit firms for your specific business needs

On this webinar

Stuart Neumann

Vice President, Advisory Services

Stuart Neumann leads the Verdantix Advisory Practice. Operating across the world, he delivers projects for clients across Environment, Health and Safety, ESG & Sustainability, Net Zero & Climate Risk, Operational Excellence, and Smart Buildings. He works with Corporates, Vendors and Investors on projects ranging from digital strategy and vendor selection through to process optimization and commercial due diligence. Prior to joining Verdantix in 2010, Stuart worked on technology strategy and systems implementation projects at global technology consulting firm Accenture. 

Industry Analyst

Chris is an Industry Analyst in the Verdantix EHS practice. His current research agenda focuses on digital mental health and wellbeing solutions. Chris joined Verdantix in 2020 and has previous experience at EY, where he specialised in robotic process automation (RPA). He holds an M.Eng. in Engineering Science from Oxford University with a concentration in machine learning and machine vision.