Define data use cases, identify data sources and sensibly develop existing data and architecture models, including data governance concepts
Define KPIs and programmatically connect systems
Automate the sustainability report and visualize data
Benchmark and measure target achievement, including identifying areas for optimisation
Utilize statistical methods, including predictive analytics and artificial intelligence, to anticipate future scenarios and outcomes, thus enabling more prompt action-taking
Advance the business model through the comprehension garnered from the analyses
Sustainability is no longer an option – it is decisive for business success in the long term. Governments, consumers, and employees expect companies to make a positive contribution to society and the environment. We are no longer talking about corporate responsibility as a "nice-to-have", but more and more about a political entity that prescribes sustainable action.