EN Estimation Content

40% of respondants

* ESG Global Survey 2023, BNP Paribas.

Explore why you need this data

Top 3 challenges in real estate

Inconsistency between different ESG data providers

Cost of ESG data

Poor quality of analytics for ESG data

46% of respondants

when collecting and using ESG data for your ESG strategy.

Leveraging data and reporting to underpin your plans will result in greater access to capital and competitive advantage.

Tenants’ willingness to pay and sustainability requirements have a direct impact on demand and occupancy rates.

Even though there is no standardized assessment methodology, the market has started to reflect the impact of ESG and climate change on asset value.

It is becoming increasingly difficult and expensive for real estate players to access capital without disclosing their ESG impact.

SFDR and Green Taxonomy identify energy consumption and GHG emissions as a key performance indicator.

Reporting

Asset attractiveness

Property valuation

Access to capital

Regulation

Why do you need to collect data?

Did you know?

47%

of companies still use spreadsheets to manage ESG data.

Did you know?

Several sources & numerous stakeholders

How does Deepki facilitate data collection?

The main challenges of collecting data

The need for financial & human resources

Specificity of geographies

Time-consuming

47%

of companies still use spreadsheets to manage ESG data.

But what if your data is incomplete and inconsistent?

Data coverage monitoring on Deepki Ready.

Building data

Utilities data

ESG data

For example, Deepki helps you collect your consumption and emissions data, as you can see on the left - a beneficial factor in achieving all the environmental, social, and governance goals your company may have.

Deepki helps to monitor your ESG performance

With Deepki Ready, automate data collection from diverse sources using over 1,200 utility connectors and advanced technologies like APIs.

Asset data estimation

Meter data estimation

We approximate the asset consumption based on Deepki's internal database (for similar assets, in the same geographical area), relying on our more than 400 clients and 400,000 assets.

Our SaaS platform extrapolates the tenant missing consumption based on collected data (from other tenants or others meters).

Deepki Ready fills the gap thanks to a statistical model considering known data. It makes estimating missing data for a given month at the meter level possible.

Indexing

Extrapolation

Gap filling

What kind of data can you estimate?

Deepki Ready's Estimation widget.

Deepki leverages AI and Machine Learning to estimate your missing data

1200+

1.6M+

60+

assets monitored

connectors to collect data

countries where we operate

What data do we estimate?

Want more?

Learn more on ESG!

Greenwashing in ESG reporting: risks, consequences, and strategies for transparency

The rise of ESG: sustainability reporting’s integration into auditing

The company serves clients including Generali Real Estate, SwissLife Asset Managers, and the French government helping to make their real estate assets more sustainable at scale. In March 2022, Deepki raised €150 million in a Series C round of funding which High Land Europe and One Peak Partners jointly led. Other investors include Bpifrance, through their Large Venture fund, and Revaia.

Founded in 2014, Deepki has developed a SaaS solution that uses data intelligence to guide real estate players in their net zero transition. Drawing on a decade of experience, Deepki's solution leverages customer data to improve assets’ ESG (Environmental, Social, and Governance) performance and maximize asset value. Deepki operates in 60 countries, with over 400 team members across Paris, London, Berlin, Milan, and Madrid offices.