Turning thousands of data points into an automated flow

Sustainability -
The hundreds of meters in our centres produce a massive amount of sustainability data, from the amount of waste produced to energy consumption and our renewable energy production. Harmonizing and developing our processes, and integrating our data sources into a common interface that allows automation, has made our reporting easier and enhanced the quality of the data.

Citycon’s properties produce a massive amount of sustainability-related data that helps us monitor and evaluate the efficiency of our sustainability efforts and find opportunities to reduce our carbon footprint. We pay close attention to our energy, electricity, waste and water consumption.

However, with 33 centres that have hundreds of meters and differing measurement instruments, aligning and comparing the data is not simple, as it contains thousands of unique data points for measuring electricity, heat, water, and waste consumption and production.

To streamline Citycon’s ESG data management, our business process improvement and sustainability teams set out a project to develop robust processes, practices and utilizing modern technologies to unify and automate the data gathering, calculation, and reporting process.

2023 marked the first year the underlying data was integrated into our data warehouse, which enabled building modern reporting solution and the project started bearing fruit.

Enhancing the quality and transparency of our sustainability data

The automated process allows us to gather the end-of-year report more easily, but it also enables monitoring the data and our progress continuously. This enables us to make data-driven decisions and be proactive. It also increases the transparency across our organisation, as different actors can examine how our actions affect our sustainability KPIs in practice.  

The project revealed, and allowed us to repair, some weaker points in our ESG data sources, which increased the overall quality of our sustainability data. In addition, improving the sustainability data gathering, calculation, and reporting process, also saves considerable amount of manual effort and labour, thus saving time for more value-adding tasks to reach our sustainability goals.

However, implementing the new ESG data reporting model was just the first step. In the next few years, we’ll further continue our data management, analytics, and reporting in our journey towards excellence.

With these kinds of projects, the next goal is never the final one, as there are always things we can do better.