The construction management cluster comprises all data about planning, coordinating, and providing monitoring and controlling for a lean construction project. Different types of construction such as industrial, civil, commercial, environmental, and residential are covered in construction management.

The Digital Building Twin Cluster represents the core of the Common Data Model for real estate. It can be employed to run simulations and carry out performance studies with the goal of gaining valuable insights leading to potential improvements that can be applied to the physical object. Digital twins provide remarkably accurate replicas of building assets by merging spaces, areas, and equipment into a single ecosystem. Digital twins have become a relevant feature since they aim to improve customer experience. One of the core benefits of implementing digital twin is that it allows to map detailed and complex scenarios concerning a building’s lifecycle.

Here you can find a Use Case.

Use case of Digital Twin

The digital twin cluster makes up the core of the CDM for Real Estate and collects data concerning the building structure as well as the building life cycle. The Digital Twin lies in the center of the CDM model for Real Estate as it centralizes relevant information regarding all the clusters. It plays a significant role as it provides stakeholders with concrete data sources about energy resources, portfolio, area measurements, and equipment. Moreover, a Digital Twin enables the collection of consumer insights and customer behavior data and preferences. This leads to the development of more innovative and customer data-driven products.

Here you can find a more detailed use case.

In the developing process of the digital twin standard so far, the following standards have been fully or partially integrated into the digital twin’s developing process:

IFC, COBie, CAFM Connect, ISO81346, DIN 276, ebkp-h, IPMS.

The documentation cluster includes all data regarding the process of capturing, storing, classifying, and retrieving documents, word processing files, and digital images.

It is important to enable centralized storage and streamlined search and retrieval options.

The energy and resource cluster comprises all data related to energy and resource consumption including greenhouse gas emissions and further sustainability related indicators. This ranges from individual data on energy consumption, water consumption, waste output or fugitive emissions to data about past and future amount of heating and cooling degree days. Allowing for potential climate normalization and projection of the energy demand. Besides, this cluster also focuses on the calculation of CO2-equivalents, possible retrofit measures, circular economy, and their impact on the building.

Here you can find a Use Case.

To find out more about Sustainability, please click here.

The facility management cluster comprises data about the management of buildings and its requirements throughout the whole building life cycle stages. The focus lies on managing different services to reduce operating and managing costs. Information about the technical availability of all building systems to increase the yield of a building or ensure long-term value retention of the building are part in this cluster as well.

The financial cluster includes all information about the financial activities and position of the business/entity. The focus also lies on a standardized account structure to allow industry wide comparison. This data is particularly useful for internal management to analyze the business performance and determine whether tactics and strategies must be altered.

The following standards have been fully or partially integrated: IFRS, MSCI, gif.

The investment and transaction management cluster focuses on information about acquisition and funding of real estate within the scope of given investment guidelines.

The market data cluster comprises all data that is related to the external market. Besides only storing internal data market data provides the possibility to store external data and compare internal data against it. This allows benchmarking for example prices or calculated KPIs against the market and using the outcome to make data driven decisions.

The organizational management cluster comprises information about different business partners including tenants and service providers. It helps managing all kinds of contacts and addresses linking them to corresponding areas within the data model.

The following standards have been fully or partially integrated:


Here you can find a use case.

The project management cluster stores all information about internal or external projects. The focus lies on scope, milestones, budget as well as optimizing the allocation of necessary inputs and apply them to meet pre-defined objectives.

The property management cluster comprises data about the operation, control, and oversight of the real estate. This includes information about lease contracts, rental payments, and all sorts of tenant communication. Currently, the focus strongly lies on tenant relationship.


The following standards have been fully or partially integrated:

gif, RICS

Portfolio and asset management stores all information about managing and overseeing the whole or a portion of the real estate portfolio. Portfolio and asset management entails the portfolio structure , so that financial or other company goals can be tracked, evaluated and if needed adjusted.


The following standards have been fully or partially integrated:

gif, RICS.

The user and customer experience cluster stores all information about the tenant or employee satisfaction. Additionally, all workplace related data as well as occupancy will be covered in this cluster.