Emeria centralises data, driving cost savings and efficiency gains 

“Fivetran has completely transformed how we manage data. Access to real-time data helps our teams optimise property management and the value of our clients’ assets, keeping Emeria ahead in the European real estate market.”
— Florent Seine, Chief Data Officer at Emeria

Emeria, a leader in real estate and residential services across Europe, manages a portfolio of companies specialising in property administration, co-ownership, rental and asset management. With over 17,000 employees operating in 700 branches across key markets such as Germany, France and the UK, Emeria generates nearly €1.5 billion in annual revenue.

In 2018, Philippe Salle, Chairman of the Emeria Group (then Foncia Group) embarked on a modernisation journey to bring together best-in-class technology and digitise its services to relieve employees of time-consuming tasks. As part of that initiative, they launched Millenium, a new ERP system that would provide real-time updates to all their customers regarding their properties. 

Emeria built an analytical stack on top of the new ERP system with the goal of unifying data from its 700 branches across eight countries and making it available to the whole enterprise. They also wanted to use this data to perform detailed analysis for controlling costs, streamlining large-scale processes to improve the efficiency and value of managed properties and optimising energy savings obtained through the energy renovation work underway or planning for almost 10% of its buildings in France eligible for MaPrime'Rénov. 

Emeria decided to move from an “on premise” environment to a modern data stack in the cloud, which involved switching from an ETL (extract transform load) approach to an ELT (extract load transform) approach. To support Emeria in this evolution, a fully managed SaaS tool is essential.

“We were looking for a solution that could keep up with the sheer volume of our data, and that would fit in with our major modernisation project,” explains Florent Seine, Chief Data Officer at Emeria.

Emeria adopted Fivetran to automate data movement from various systems into Snowflake. Initially, data analysis focused on operational indicators derived from the ERP system. This effort expanded as Emeria’s team realised the potential for applying this approach to all applications within the group. Using Fivetran’s extensive library of connectors, Emeria seamlessly integrated data from various sources, such as MongoDB, PostgreSQL, Workday, Salesforce and more.

“Any manager at a branch in France can now access dashboards built by our team, powered by data coming in from Fivetran,” Seine adds. A centralised 12-person data team supports over 60 analysts across the organisation, enabling both ad hoc and production-level analysis from the same platform.

Fivetran has been instrumental in centralising Emeria’s data, making it accessible across the enterprise. This centralised data has empowered Emeria to conduct detailed analyses of cooperative living charges and property costs, a critical focus and major challenge for its property management operations.

Finally, with its modern data stack built on Fivetran and Snowflake, Emeria has successfully bridged technology and human expertise. The company aims to provide the market with reliable, high-performance data for benchmarking purposes, including publishing observatory-style reports and in-depth market analyses.

“With Fivetran, Emeria takes a step ahead in the real estate market in France and Europe,” concludes Florent Seine. “By building a 360-degree view of our customers, we’re better equipped to meet their needs.” 

Emeria is now in a strong position to address future challenges, particularly in energy-efficient building renovation. By analyzing data on older buildings, their aging and renovation impacts, Emeria can compare them to new and non-renovated properties. These insights will help drive improvements and enhance the value of customers’ assets.

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