Data4Green

Data4Green enables organisations to deliver profitable decarbonisation and energy efficiency projects.

Data4Green is positioned at the convergence of Data expertise and sustainable development.

We help organisations wishing to achieve a profound and profitable transformation with a focus on smart Building & smart Cities, supply chain & logistics and Industry 4.0

Our Services

We provide data-driven, decarbonisation services to enhance your organisation's eco-impact.

Objective

To offer comprehensive Environmental, Social & Governance (ESG) oversight and strategy, ensuring effective implementation and organisational readiness for change

Performance Monitoring & Reporting: Continuously assess ESG-related indicators and prepare transparency reports.
Executive Oversight: Serve as an interim or long-term CSO, offering executive-level guidance and decision-making.
Regulatory Compliance: Ensure alignment with ESG regulations and standards.

Organizational Change & Development

Readiness Assessment: Evaluate the organisation's preparedness for ESG changes.
Training & Skill Building: Prepare employees to adapt to new ESG protocols.

Objective

To identify and implement the optimal IT solutions that address not just environmental, but also broader ESG challenges at a global scale.

Inhouse Support: We fill gaps in your sustainability team, offering flexible, expert support on or off-site.
Market Analysis: Conduct a comprehensive market review to identify the most promising IT solutions for ESG management.
Feasibility Assessment: Evaluate the compatibility of selected IT solutions with your existing technological infrastructure.
Cost-Benefit Analysis: Perform an ROI analysis to understand the financial viability of adopting new IT solutions.
Vendor Negotiation: Assist in negotiating contracts and terms with chosen technology providers.
Integration Plan: Develop a roadmap for the seamless integration of the new IT solutions into your existing ecosystem.
Compliance Check: Ensure that the sourced IT solutions comply with global and industry-specific ESG regulations and standards.

Objective

To lay the foundation for an actionable decarbonisation strategy by defining your ROI, Key Impact Indicators, and technological needs.

ROI and Goal Setting: Establish measurable decarbonization objectives, such as reducing CO2 emissions, energy consumption, and increasing renewable energy usage.
Data Inventory: Evaluate existing data sources to identify what is readily available.
Data Gap Analysis: Identify the data required but not yet available to meet your objectives.
Stakeholder Identification: Define internal and external stakeholders involved in the decarbonization strategy.
Technology and Data Automation Strategy: Outline the tools and technologies that will be required to gather, process, and visualize data.

Objective

To enrich existing data streams for better energy efficiency, innovation, and new business models.

IoT Integration: Implement Internet of Things (IoT) devices to monitor real-time environmental metrics.
Data Extraction: Use dedicated AI agents to extract ESG data points from unstructured files.
API Utilization: Leverage APIs to integrate third-party services and data.
Import Automation: Setup connectors to existing data sources (ERP, data warehouse, HR or accounting software...)

Objective

To clean, validate, and analyse data for actionable insights.

Extraction, Transformation, Load (ETL): Standardise formats and units, ingest each point into a unified data structure.
Data Cleaning: Highlight and remedy inconsistencies and errors.
Data Validation: Confirm the accuracy of the data against predefined benchmarks.
Data Analysis: Use statistical models to derive insights from the collected data.

Objective

To present data in a visually compelling and informative manner for effective decision-making.

Needs Assessment: Understand the data visualisation requirements of internal and external stakeholders.
Dashboard Design: Develop custom dashboards that align with your decarbonization and compliance goals.
Platform Integration: Incorporate the dashboard into existing platforms or recommend new platforms as needed.

Our Areas of Expertise

Industry 4.0

In this age of digital transformation for manufacturing and production sectors, throught integration of AI, IoT, robotics, and data analytics Data4Green can help create smart, interconnected systems and paves the way for a more responsible, efficient, and profitable future for industries.
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Smart Cities &
Smart Buildings

Smart cities leverage data and technology to enhance urban infrastructure, Data4Green can help optimise resource usage, and improve the quality of life for residents. Data analytics can be instrumental in managing energy demand, optimising public transportation, and enhancing the performance of smart buildings through intelligent systems.

Supply Chain &
Logistics

By applying data analytics and industry knowledge, Data4Green can help optimise supply chain operations, route planning, and vehicle fleets to reduce fuel consumption, lower emissions, and improve overall efficiency.

Use Cases

A Property developer had been using their sustainability data management tool for some time but following changes to their company and personnel, they needed expert external support.

Decarbonisation & CO2 data

ESG IT sourcing

On site support

Action

Providing the client with access to a team of experts who helped them to:

Understand their sustainability goals and objectives implied by CSRD
Identify the data that they needed to collect and report in order to measure their progress towards their goals
Set up and implement a system for collecting and managing their sustainability data
Generate reports that showed their progress towards their goals and identified areas for improvement.

Result

We helped them generate reports that showed their progress towards their goals and identified areas for improvement.

Smart Cities & Smart Building

A logistics company wanted reduce harmful emissions, improve operational efficiency, and provide more efficient navigation and shared transportation services.

Decarbonisation & CO2 data

Action

Implementing an IoT and predictive analytics models allowed to gain insights to make operational changes, including:

Adjusting shipment patterns to reduce emissions and improve fuel efficiency
Optimising vehicle flow to reduce congestion and delays
Providing more efficient navigation to drivers
Facilitating shared transportation services

Result

As a result of these changes, the company was able to reduce its harmful emissions by 15%, improve operational efficiency by 20%, and provide more efficient navigation and shared transportation services to its customers.

Supply Chain & logistics

A manufacturing company had challenges in efficiently tracking emissions and energy usage.

Decarbonisation & CO2 data

Energy sobriety

ESG scoring & analytics

Action

Implementing a completely digital workflow, enabling them to:

Increase the frequency of emissions measurements.
Quickly detect anomalies in emissions data.
Discover emissions that would have otherwise gone unnoticed, such as those from delivery trucks or equipment leaks.

Result

Faster and more effective identification and resolution of emission-related issues. Improved environmental performance, leading to energy cost savings. Enhanced sustainability through reduced environmental impact.

Industry 4.0

A healthcare organisation was facing challenges in efficiently managing its supply chain, resulting in waste, inefficiencies, and environmental impacts.

Energy sobriety

Sustain IT

ESG scoring & analytics

Action

Identifying the most adapted digital technologies and implementing the following solutions:

Demand Forecasting Software: to predict future demand for medical supplies to optimise inventory and prevent overstocking and obsolescence.
Inventory Management System: to allow real-time tracking of product usage and inventory levels to make informed decisions about ordering and replenishment.
Transportation Management System: to optimise delivery routes and decrease fuel consumption.

Result

They achieved a 10% reduction in costs.
Reduced waste by 5%.
Decreased greenhouse gas emissions by 1%.

Smart Cities & Smart Building

A company wanted to decrease its environmental footprint and bolster its social and economic performance but lacked sustainability considerations in its decision-making processes.

CO2 data & Decarbonisation

Energy sobriety

ESG scoring & analytics

Action

The company took the following steps:

Identification of Decision-making Processes: recognise the key areas where decisions were made, including management meetings, innovation processes, supplier selection, and product development.
Integration of Sustainability Criteria: Developed and embedded sustainability standards in each of these processes. For instance, they crafted criteria for supplier selection based on environmental performance and social responsibility. Additionally, a method was established for evaluating sustainability performance when making choices, taking into account the environmental, social, and economic ramifications of each option.

Result

Achieved a 10% reduction in energy consumption.
Decreased waste generation by 5%.
Expanded partnerships with sustainable suppliers.
Introduced new, more sustainable products compared to their earlier offerings.

Industry 4.0

A manufacturing company sought to reduce its environmental impact and believed empowering employees could be the solution, but lacked a mechanism for sharing crucial sustainability metrics with them.

CO2 data & Decarbonisation

Energy sobriety

ESG scoring & analytics

Action

To address this, the company adopted digital applications, allowing employees to:

Access Sustainability Data: The tools provided real-time data on individual and collective energy consumption, scrap rates, and other sustainability metrics.
Share Best Practices: Facilitated collaboration among employees to discuss and implement best practices.
Track Progress: The applications monitored the company's journey towards its sustainability objectives, holding individuals and departments accountable.
Drive Continuous Improvement: The tools collected data on the effectiveness of implemented strategies, revealing areas requiring further attention.
Foster Collaboration Across Teams: Employees from various departments and sites could share knowledge and insights, working together to tackle sustainability challenges.

Result

Realized a 10% reduction in energy consumption.
Decreased scrap rates by 5%.
Achieved monetary savings on energy expenditure.
Enhanced overall environmental performance of the company.

Industry 4.0