Sustainability innovation programme 2022
ABOUT THE PROGRAMME
ABOUT THE PROGRAMME
The FinLab’s Sustainability Innovation Programme (SIP) is a 5-week programme to help SMEs to transform their companies into sustainable businesses. It provides deep insights across a variety of Sustainability topics such as energy efficiency, clean energy, electric vehicle and food sustainability. SMEs will be introduced to various Greentech solutions that can kickstart their journey to a greener future.
Your Sustainability Quotient
Sustainability Solutions & Partners
At A Sustainability Experience Center
- Educate – Learn key trends, solutions, and insights into what it takes to build a sustainable future
- Evaluate – Understand your sustainability needs and opportunities for growth through sustainability
- Execute – Start implementing the sustainable solutions, and plan for future growth leveraging clear sustainable actions
Sustainability Innovation Programme 2022: Week 1 – “educate”No better way to get your sustainability journey started than to better understand the basics of sustainability, and know where you stand with regards to key sustainability metrics! Join us next week for 2 and half-day session to deepen your understanding about sustainability fundamentals through sharing by Ngee Ann Poly, STACS, Enterprise Singapore, and UOB.
Sustainability Innovation Programme 2022: Week 2 – “evaluate”Join our Sustainability Business Model Canvas Workshop to learn how to use a tried-and-tested innovation framework, the BMC, to understand the gaps and opportunities in your business. The workshop helps you to clearly identify your specific sustainability problem statement, so that you can find the right green solutions. The sustainability assessment questionnaire developed by Global Initiatives helps companies start their sustainability journey using an assessment framework based on global standards like the UN SDGs. It provides a competitive positioning vis-a-vis peers, and it allows SMEs to develop a clear action plan for sustainability, based on the data collected.