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Created on March 25, 2024

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Transcript

Poor quality of analytics for ESG data

Top 3 challenges in real estate

Cost of ESG data

46% of respondants

when collecting and using ESG data for your ESG strategy.

40% of respondants

Inconsistency between different ESG data providers

Explore why you need this data

40% of respondants

* ESG Global Survey 2023, BNP Paribas.

Why do you need to collect data?

Reporting

Asset attractiveness

Property valuation

Access to capital

Regulation

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

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

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

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

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

Next

Did you know?

47%

of companies still use spreadsheets to manage ESG data.

The main challenges of collecting data

Did you know?

Several sources & numerous stakeholders

Time-consuming

47%

of companies still use spreadsheets to manage ESG data.

Specificity of geographies

The need for financial & human resources

How does Deepki facilitate data collection?

Deepki helps to monitor your ESG performance

Building 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.

Utilities data

ESG data

Data coverage monitoring on Deepki.

But what if your data is incomplete and inconsistent?

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

Deepki leverages AI and Machine Learning to estimate your missing data

Indexing

Extrapolation

Gap filling

Meter data estimation

Asset data estimation

Asset data estimation

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

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.

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.

Deepki Ready's Estimation widget.

What kind of data can you estimate?

What data do we estimate?

1800+

connectors to collect data

800k+

assets monitored

80+

countries where we operate

Want more?

Contact us for more information on how boost your data collection rate and improve quality and coverage.

Learn more on ESG!

About Deepki

Deepki is the leading and most trusted ESG SaaS solution in real estate. The company currently supports over 500 customers and 50,000 users, monitoring ESG over €4 trillion in assets under management (AUM) through its platform across 80 countries. Employing over 400 people, Deepki helps its customers reduce their CO₂ emissions across more than 60 asset types. The company serves clients including Generali Real Estate, PGIM, SwissLife Asset Managers and the French government, helping to improve assets’ ESG performance and maximize asset value, while ensuring compliance and facilitating access to capital.

In March 2022 Deepki raised €150 million in a Series C funding round. Since then, Deepki has carried out strategic acquisitions including Fabriq, and embodied carbon SaaS solution Nooco, and built global partnerships with CBRE and PGIM Real Estate. As the leader and the most trusted ESG Platform of the market, Deepki discloses every year a unique ESG index in Europe.The company recently received the ISAE 3000 certification, guaranteeing the credibility and accuracy of its data collection process, making it fully auditable and providing the same high quality standards as financial reporting.

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