Key Points

Empowering Sustainability Action: How Quality Data Leads to Tangible Success

With how rapidly the environmental landscape has evolved, the need for effective sustainability practices has never been greater. At the heart of these efforts lies the importance of quality data, data that is clean and integrated, which serves as a cornerstone for making informed decisions and driving impactful sustainability initiatives.

Legence understands this critical connection and leverages its expertise to help organizations transform their sustainability goals into tangible successes. This blog explores how quality data empowers various aspects of sustainability, from mitigating risks to assets and reducing carbon footprints to decarbonizing buildings and ensuring regulatory compliance.

Access to high-quality, integrated data allows companies to enhance their environmental performance, make informed financial decisions, and showcases their progress toward sustainability goals. Join us as we explore the pivotal role of better data in fostering a sustainable future and how our sustainability management platform, Trove™, powered by RE Tech Advisors, a Legence Company, can help your organization achieve its environmental objectives.

Quality Data vs. Clean Data

Quality data refers to data that is accurate, complete, and reliable, essential for making informed decisions. Clean data, a subset of quality data, specifically focuses on the elimination of errors, inconsistencies, and inaccuracies. Clean data ensures that the information used is precise and trustworthy, forming the foundation for high-quality data. Together, they drive impactful sustainability initiatives by providing a solid base for analysis and decision-making.

The Role of Integrated Data in Risk Mitigation, Carbon Footprint Reduction, and Meeting Sustainability and Regulatory Goals

Risk Mitigation

Quality data within the context of climate risk is essential for identifying, assessing, and mitigating potential threats. Clean data in climate risk involves the elimination of inaccuracies and inconsistencies, ensuring that the data used is reliable and accurate. This allows organizations to pinpoint vulnerabilities and develop strategies to address them effectively, such as analyzing underperforming buildings regarding energy and water usage, emissions and waste output, and uncover actionable next steps.

Reducing Carbon Footprint with Clean Data

Understanding and managing a carbon footprint is vital for any sustainability strategy. A carbon footprint represents the total greenhouse gas emissions caused directly and indirectly by an organization.  

Tracking carbon emissions with clean data allows businesses to identify key areas for improvement and implement targeted measures to reduce their environmental impact. This not only helps in reducing carbon emissions but also enhances overall energy efficiency.

How Would a Company Gather Unclean Data?

A company might gather unclean data through manual data entry processes where errors such as typos, duplicate entries, and incomplete records are common. For example, collecting customer information via handwritten forms can lead to inconsistencies and inaccuracies when transcribed into a digital database. Additionally, integrating data from multiple sources without standardizing formats can result in mismatched or conflicting information, further compromising data quality.

Meeting Sustainability and Regulatory Goals

Achieving sustainability goals requires a clear understanding of where an organization stands and what needs to be done. Quality data supports setting realistic targets, tracking progress, and making necessary adjustments to stay on course. By leveraging integrated data, businesses can ensure that their sustainability efforts are aligned with their broader environmental and business objectives.

For example, businesses can leverage integrated data from energy usage reports, carbon emissions tracking, and waste management systems to create a comprehensive sustainability strategy. This holistic approach ensures that all aspects of their operations contribute to meeting their sustainability goals efficiently.

Regulatory compliance is a critical aspect of sustainability. Quality data ensures that organizations meet sustainability regulations at the building, portfolio, and firm levels, providing valuable insights that aid in sustainability planning and reporting.

Decarbonizing Buildings with Quality Data

Environmental Impact of Buildings

The environmental impact of buildings is substantial, accounting for nearly 40% of global greenhouse gas emissions. Decarbonizing buildings with clean data involves using accurate and high-quality data to plan and implement strategies that reduce these emissions. This includes retrofitting existing structures, optimizing energy consumption, and integrating renewable energy sources.

Identifying Decarbonization Opportunities

Since buildings significantly contribute to environmental degradation, their decarbonization is crucial for long-term sustainability. Quality data enables the identification of decarbonization opportunities by providing detailed insights into energy and water usage, inefficiencies, and potential areas for improvement. Data profiling and analysis can uncover patterns that inform effective decarbonization strategies.

Non-quality data, such as inconsistent or incomplete energy and water consumption and waste management records, can lead to misleading insights and hinder the identification of true decarbonization opportunities.

Using Quality Data to Drive Decarbonization Projects

Transforming quality data into actionable insights is essential for driving decarbonization projects. The process involves collecting and analyzing data from various sources, such as energy and water consumption, customer data, and environmental metrics. This integrated data helps in planning, executing, and monitoring decarbonization initiatives, leading to improved data quality and enhanced environmental performance.

Steps to Leverage Quality Data

  • Data Collection: Gather data from diverse sources, ensuring it is clean and consistent.
  • Data Analysis: Use data scientists to analyze the data and identify decarbonization opportunities.
  • Implementation: Develop and execute decarbonization strategies based on insights derived from the data.
  • Monitoring: Continuously track progress and make adjustments as needed to ensure goals are met.

Benefits and Outcomes

Using high-quality data for decarbonization projects results in reduced carbon emissions, improved energy efficiency, and enhanced sustainability, not to mention tangible returns on investments for businesses. This data-driven approach helps meet regulatory requirements and also showcases a commitment to environmental stewardship.

High-Quality Data Informing Financial Decision-Making and Enhancing Environmental Performance

High-Quality/Integrated Data for Financial Decision-Making

High-quality, integrated data is crucial for making informed financial decisions related to sustainability. Clean data supports the financial aspects of sustainability projects by providing accurate and reliable information that guides investment decisions and resource allocation.

For instance, a company using integrated data from energy audits and financial records can accurately forecast the ROI of building improvements such as installing solar panels, ensuring better fund distribution.

Better Data Driving Better Environmental Capabilities and Performance

There is a direct relationship between data quality and environmental performance. Improved data quality leads to better insights, enabling organizations to enhance their environmental capabilities.  

For example, a business leveraging high-quality data can identify inefficient HVAC systems, leading to targeted upgrades that reduce energy consumption and greenhouse gas emissions. Retrofitting existing buildings into green buildings to optimize performance has long-term benefits for the building owner, occupants, and the environment.

Key Metrics and Performance Indicators

Key metrics used to measure environmental success include energy and water consumption, carbon footprint, waste, and the amount of data processed. These indicators provide a clear picture of an organization's environmental performance and highlight areas for improvement.

Tracking metrics like monthly energy, water, waste, and carbon output allows companies to pinpoint trends and implement corrective measures, enhancing their overall environmental performance. Together, these data points paint a clearer picture of overall sustainability performance.

Introducing Trove: Transforming Sustainability Data Management

Unlock a wealth of data insights with Trove™, a cutting-edge Sustainability Management Platform. Trove goes beyond simple data storage by transforming data into intuitive visualizations and comprehensive insights at both property and portfolio levels. Managed by trusted sustainability experts at RE Tech Advisors, a Legence Company, Trove ensures high data quality and offers capabilities for data estimation, comparative benchmarks, and forecasting.  

Use Trove to drive informed decision-making, track compliance, and identify at-risk buildings. With Trove, your organization can seamlessly manage sustainability data and support energy efficiency and decarbonization projects.

The Bottom Line

In the quest for sustainability, quality data plays a pivotal role in driving tangible success. By leveraging high-quality, integrated data, organizations can mitigate risks, reduce carbon footprints, decarbonize buildings, make informed financial decisions, and ensure regulatory compliance.  

Legence’s expertise in sustainability management empowers businesses to achieve their environmental objectives and foster a sustainable future. Through our resources, such as Trove, unlock the power of quality data and transform your sustainability goals into reality.

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