ESG DATA GOVERNANCE IN DIGITAL TECH - Opportunities and Risks for startups

Elevate your digital tech startup with insights to navigate ESG compliance, optimise data usage, and unlock commercial value, all while understanding growth opportunities and operational risks.

The course provides tools and insights that help digital tech startups that work in highly regulated industry such as Finance to:

  • Effectively navigate ESG compliance requirements with limited human resources by eliminating overlapping reporting processes and optimising the use of existing datasets;

  • Unlock commercial value of ESG data through demand-driven approach, and

  • Understand the growth opportunities and operational risks of digital tech startups through ESG data

The course is for digital tech startups, who face compliance pressure from EU and Danish regulators, or customer demands for ESG data.

With Fintech-cases as examples, the course provides broader insights into the regulatory environment and customers’ demands on ESG data and Green IT and equips your company with tools for analysing the opportunities and risks for growth.

Today, tech startups who operate in heavily regulated environments, such as Fintech and HealthTech are faced with complex and rapidly emerging regulations related to sustainability such as CSRD, SFDR, ESRS, GPP criteria and EU Green Taxonomy, to name a few. Subsequently, customers of digital services from both public and private sectors are pressured to procure sustainable or green digital services and increasingly push forward demands to the supply chain to report the sustainability or green performance of the services they provide.

Environmental, Social and corporate Governance (ESG) data is at the core of securing both the bottom line and skyline of xTech startups by responding to the needs of compliance requirements and customer demands. However, providing ESG data for startups has known challenges such as:

  • Gaps between the ESG frameworks currently used by investors, regulators, and the customers

  • Lack of data capabilities as related to ESG reporting among individual startups.

This course addresses these challenges and facilitates strategic and sustainable growth of digital tech startups in the long term.

Based on research on ESG and Fintech, the course aims at answering the following questions that are essential to ESG Data Governance in digital tech:

  • What are the current compliance requirements and customer demands on ESG data in Digital Tech?

  • How to produce ESG data in an optimal and meaningful way for startups?

  • How to identify opportunities and risks around ESG data in digital tech startups?

  • How to generate commercial value using the insights from ESG data?

  • How to communicate the expectations around ESG across Fintech ecosystem between startups, board members and customers?


By taking this course you will be on the forefront of ESG data governance in digital tech, by learning to:

  • Align compliance requirements with business and product development

  • Leverage existing processes and in-house data to identify, obtain, and effectively utilise reliable ESG data

  • Maximise commercial value from ESG data by connecting it with customer demands

  • Communicate effectively and realistically on the expectations of ESG data between startups, board members, venture investors and customers and move beyond greenwashing


More info

This course combines short lectures, panel discussions and workshops. We bring together scientific insights and pioneering initiatives from market and public authorites, and facilitate peer learning between the founders, managers, board members and venture investors of digital tech companies such as Fintech and Healthtech.

The course is for founders, managers, board members and venture investors of digital tech startups that offer solutions based on AI, big data analytics, cloud computing. This could be startups both in e.g., Fintech and Healthtech.

  •  Yvonne Dittrich, Prof., PhD., IT University of Copenhagen: Design implications for ESG data structures (individual company and business collective)
  • Laura Juncker-Jensen, lecturer, IT University of Copenhagen): Positioning in the state and market efforts around ESG data
  • Qiuyu Jiang, PhD, Aarhus University: ESG data and cultural transition (individual company and business collective)
  • Carsten Østerlund, Prof., PhD. Syracuse University: ESG data and organizational change (individual company and business collective)

Time and place

The course runs from 9.00 to 16.00 and is held at the IT University, Rued Langgaards Vej 7 on Amager, Copenhagen.

Participant payment

There is a participant fee for the course, which costs DKK 6.100. The price is exclusive of VAT.

Admission requirements and registration

The course takes place in English. There is no exam, but all participants receive a course certificate when the course is completed. The course does not trigger ECTS points, as it is not linked to the IT University's other programmes. Therefore, there are also no entry requirements for courses under ITU Professional Courses.

Limited number of places

There is a limited number of places on the course. Places are allocated on a first-come, first-served basis.


Contact ITU Professional Courses

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  • Professor at the IT University
  • Research Assistant at Nordic Institute of Asian Studies
  • Co-founder of China Nao
  • Research Assistant at CBS (Copenhagen Business School)

Contact Cancan Wang at 

Cancan Wang is an Associate Professor at the IT University of Copenhagen. She specializes in data governance in the context of sustainability transition, public digital transformation, and artificial intelligence development. She is also well-versed in related topics such as standardization, data ethics, and change leadership.