Collecting, processing and reporting ESG data for real estate owners is complex and time-consuming. With efficient data management, we automate your ESG reporting: from the collection of data to the calculation of the desired KPIs.
31
Mar
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With our expertise at the interface between data and real estate, we have worked with the leading real estate service provider Wincasa to develop an efficient and modern data infrastructure for the processing of ESG data. The platform enables the flexible and automated integration of a large number of ESG-relevant data sources. This means that the required KPIs and ESG reporting for real estate can be generated automatically in the desired format.
We make ESG reporting simple & auditable.
Automated recording of energy data and other consumption data. Structuring of the data and quality check. Access to the data via our smart ESG application.
Calculation of all relevant KPIs based on consumption data (e.g. CO2 intensity). Includes all environmentally relevant KPIs required by AMAS/KGAST/ASIP.
Calculation of the CO2 reduction path or climate path for individual properties or an entire portfolio.
Delivery of benchmarking data based on the universe of indirect real estate investments in Switzerland (e.g. SWIIT, KGAST or individual products)
Intuitive analysis of data in an interactive dashboard. A wide range of filter options and the option to integrate data and graphics directly into a presentation.
Optimization of data flows for specific reports. Automation of reporting for benchmarks and certificates such as REIDA, GRESB, BREEAM etc.
Partner:
Ensuring high data quality is essential for the correctness and credibility of certifications as well as the accuracy and reliability of analyses and data-based decisions. Automated data quality checks are therefore central to our ESG platform.
The developed data infrastructure complies with the guidelines of the International Standard on Assurance Engagements (ISAE) and therefore enables evidence of appropriate controls for the data preparation of ESG-relevant information with regard to security, availability, confidentiality, integrity of processing and data protection. All processes are fully documented and the calculation of KPIs is transparent.
The measurability and traceability of sustainability goals is playing an increasingly important role for real estate owners. The members of the Asset Management Association Switzerland (AMAS) are required to publish all environmentally relevant key figures in a standardized format. There are also binding standards at European level in the form of the EU Taxonomy and the CSRD. However, reporting ESG data is very time-consuming and laborious, as the necessary data is often stored in different data sources or has to be collected in a structured manner in the first place. The manual collection and preparation of data for the various standards and benchmarks is time-consuming and, above all, error-prone. ESG Data Management can automate these processes and guarantee high data quality at the same time. This frees up resources to focus on the essentials: analysing the data and optimizing the building stock.
The data infrastructure can be adapted to any ESG reporting. If the necessary database is available, the desired KPIs can be generated in the required format. Our solution can be used to fill in individual KPIs (e.g. according to AMAS, KGAST, ASIP, ESRS) as well as complete templates (e.g. GRESB Asset Spreadsheet, REIDA Template) or generate complete reports (e.g. sustainability section for the annual report).
We support our customers throughout the entire ESG data journey, starting with the collection of the necessary data. In doing so, we always strive to automate the processes as much as possible.
Some of the data required for ESG reporting does not yet have a source system (e.g. energy, waste, investment planning). Here we support you in the structured recording of ESG data via specific input masks in our co2lect application.
Various ESG data is already available in source systems (e.g. area data). Wherever possible, direct access to the source system is sought in order to keep manual effort to a minimum. Alternatively, the data can be exported from the systems as structured Excel/CSV or PDF files and thus integrated into the infrastructure.
For consumption invoices, we have also developed an intelligent algorithm that can extract data from invoices.
The collection of energy data is crucial for ESG reporting. Our smart ESG application co2lect supports you in the collection, management, processing and quality control of your consumption data (energy, water).
More and more owners are collecting their energy data via smart meters. The data can be aggregated and integrated directly into co2lect. If no smart meter solution is yet available, some of the data can be obtained directly from the energy company in structured form or there is an interface to their source system.
Until all data collection processes are automated, energy bills often remain the only source of data. To avoid having to laboriously read these out by hand, we have developed an intelligent AI-based algorithm that can automatically read the data from PDF invoices or even scans of invoices and integrate it directly into co2lect.
Within co2lect, all consumption data is processed, structured, historicized and subjected to a data quality check. The application allows you to correct incorrect values or add missing data.
A combination of human and artificial intelligence is used to automatically check the quality of the ESG data integrated into the infrastructure. On the one hand, these are rule-based and check, for example, whether a value is within the defined range of last year’s value. The detection of outliers in the data is also an issue, i.e. data points that deviate significantly from the general average are reported.
The results of the various data quality checks are processed in an interactive quality report. This allows warnings and errors in the data to be viewed and, if necessary, rectified.
The pressure towards sustainability from investors is also increasing on smaller real estate owners. Various associations such as AMAS, KGAST and ASIP have defined environmentally relevant KPIs that must be published. European standards such as DNK or ESRS have also defined reporting guidelines. All standards now require detailed data on the energy consumption of all properties in the portfolio.
Often, smaller companies in particular do not have standardized processes for recording this data and it is recorded manually in a laborious process. This is not only time-consuming but also prone to errors.
Our data infrastructure and the associated co2lectapplication have a flexible structure and can be adapted to individual requirements. If, for example, only the AMAS KPIs are relevant, the data infrastructure is correspondingly smaller and primarily processes all energy consumption data. The automation of the processes for recording the data and calculating the KPIs saves a lot of time and guarantees high data quality.
Our ESG data infrastructure can also be continuously adapted to new and growing needs by integrating new data sources and generating additional KPIs.
Alphaprop supports Wincasa throughout the entire process of integrating and processing ESG data and preparing it (reporting, KPIs) in accordance with various standards and benchmarks.
Industriestrasse 24
6300 Zug
Switzerland
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