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Sustainability accelerator: when data & AI meet ESG performance management

Technical contribution

April 30, 2024

By Christopher Klewes and Yannick Schulte

ESG reporting has barely arrived in the business world before it is no longer enough: The next step is performance management. The ingredients: Good data, artificial intelligence and intelligent project management.

ESG reporting: more than just a trend

In today's rapidly evolving corporate landscape, consideration of the principles of Environment, Social, Governance (ESG) is not just a passing trend. A study by Morningstar found that 90% of companies either already have an ESG strategy or are currently developing one [1]. ESG criteria have long been decisive for investment decisions and also a benchmark for employees.

Tracking and evaluating ESG-relevant data is a challenge. While financial reporting, for example, is standardized and in familiar formats, corporate reporting on ESG data is often very heterogeneous. Companies are not obliged to publish most ESG-related information, so the respective practices vary greatly. However, the EU Green Deal will increasingly oblige companies to report on their climate and environmental impact. [2]

Data as the basis for well-founded ESG decisions

Every decision should be based on sound data. ESG and data analytics therefore go hand in hand.

There are still only a few common templates, which means that companies publish different information in different ways. This means that companies are faced with the challenge of collecting and analyzing data themselves and then communicating it in detailed reports. In addition, based on these findings, new corporate goals are defined and ESG data is placed at the center of relevant management decisions.

Artificial intelligence in performance measurement

It is increasingly becoming a prerequisite to have access to AI-supported tools that take in structured and unstructured data from various sources and provide fast and reliable analyses on which decisions can be based. Trust in the data and tools used as well as the processes in place is a must. This trust can be significantly strengthened by third-party audits if the data collected and algorithms used can be verified by means of a confirmation statement.

The challenge is to guarantee access to data and ensure that it is available in real time. Manual processes and spreadsheets are no longer enough. Data management is therefore a key issue that ESG-oriented companies will inevitably have to deal with. In the future, managers will increasingly rely on such real-time data to create agile organizations that prioritize environmental, social and governance (ESG) issues alongside financial performance.

Efficient project management as a catalyst for sustainability

The key to successful ESG performance management lies not only in high-quality data and analysis using traditional methods and the use of artificial intelligence. The accelerator for ecological and social sustainability is efficient project management that responds to rapidly changing processes.

Companies that want to impose not only reporting but also effective management of measures require continuous monitoring of the measures. To achieve this, data, AI & analysis, project management and renewed monitoring must be anchored in one system. In this respect, ESG performance management brings together our focus areas of data & AI, project management solutions and our domain knowledge of ESG.

The relevance of ESG in software development

However, ESG is not only relevant for the KPIs of traditional companies and industries, but also for software development itself. On the one hand, software development has a direct ESG influence, for example through the energy consumption of data centers as well as accessibility and data protection, but on the other hand, the basic principles of resource-conserving, social-ethical approaches should also be found in the implementation processes themselves.

Examples of this range from hybrid working models and virtual collaboration tools to agile and deliberately streamlined software processes, which together contribute to an improved work-life balance, increased productivity and, last but not least, a lower carbon footprint. Therefore, the principles of environment, social and governance are also part of the solution alongside the inherent challenge, provided that the approaches are not only seen as a restriction, but also as an opportunity.

Future prospects in ESG management

When ESG reporting and ESG-driven management are properly implemented, organizations can benchmark themselves against the market, understand their entire value chain and identify where technology can empower their employees to add value.

Being able to help shape the topics of tomorrow today is not only a privilege, but also a great responsibility that Dataciders is happy to take on.

[1] (https://www.morningstar.com/sustainable-investing/90-companies-are-developing-an-esg-strategy)
[2] https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/european-green-deal_de