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Dun & Bradstreet Holdings, Inc. (DNB): PESTLE Analysis [Nov-2025 Updated] |
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Dun & Bradstreet Holdings, Inc. (DNB) Bundle
You're looking at Dun & Bradstreet, a company whose 2025 revenue forecast of $2.44 billion to $2.5 billion is directly exposed to a volatile mix of macro-environmental forces. Hitting that target isn't just about selling data; it's about deftly navigating the EU's new AI Act, integrating Gen AI into the D&B.AI™ suite to analyze over 360 million businesses, and managing the shift from D-U-N-S® to UEI for lucrative US federal contracts. This isn't just a credit risk business anymore; it's a high-stakes play in global compliance and technological innovation, and you need to understand the external pressures-Political, Economic, Sociological, Technological, Legal, and Environmental-that will defintely shape their outcome this year.
Dun & Bradstreet Holdings, Inc. (DNB) - PESTLE Analysis: Political factors
You're looking for a clear map of the political landscape surrounding Dun & Bradstreet Holdings, Inc., and the core takeaway is this: the company has successfully navigated the loss of its government-mandated monopoly, but its future political risk is now tied less to regulation and more to global instability driving demand for its core product.
US government replaced D-U-N-S® with UEI for federal contracts.
The most significant political shift in recent history for Dun & Bradstreet was the US government's decision to replace the proprietary Data Universal Numbering System (D-U-N-S®) with the government-generated Unique Entity Identifier (UEI) for federal contracts. This transition was fully implemented in April 2022, ending Dun & Bradstreet's decades-long, exclusive role as the entity identification provider for the US federal marketplace.
This was a direct political action-a move by the General Services Administration (GSA) to create competition and vendor independence. While the full financial impact of losing this monopoly is difficult to isolate in the 2025 results, the company's Q1 2025 North America revenue still reached $398.0 million, showing resilience. The political risk here isn't a new loss of revenue, but the permanent loss of a guaranteed, high-margin revenue stream, forcing the company to compete for every government data contract.
Geopolitical instability increases demand for global supply chain risk data.
Paradoxically, global political turmoil is a major tailwind for Dun & Bradstreet's Finance & Risk solutions. Geopolitical instability-from persistent trade frictions to conflicts in the Middle East-forces global businesses to urgently reassess their supply chain vulnerabilities. This is a clear, near-term opportunity.
Honestly, their own data proves this trend. The Global Supply Chain Continuity Index, which Dun & Bradstreet tracks, dropped a sharp 9.7% in the third quarter of 2025, leading to an 18.6% decline year-to-date. This decline directly correlates to a surge in demand for their data products that help companies identify and mitigate counterparty and supply chain risks. You're seeing businesses shift to dual-sourcing and near-shoring, and they need Dun & Bradstreet's data to do it.
Government contracts are a key revenue stream, sensitive to public sector IT spending.
Despite the loss of D-U-N-S® exclusivity, the US government remains a critical customer, relying on Dun & Bradstreet for data and analytics beyond simple entity identification. This makes a portion of the company's revenue highly sensitive to the US public sector's IT budget and procurement cycles.
For the 2025 fiscal year, the company projected total revenues between $2.44 billion and $2.5 billion. Any significant slowdown in federal IT spending, driven by political gridlock or budget sequestration, could instantly pressure the North America segment, which accounted for $398.0 million in revenue in Q1 2025 alone. The political wrangling over the federal budget is a defintely a risk to watch.
Ongoing strategic review and Clearlake Capital acquisition impacts market perception.
The most immediate and material political factor in 2025 was the acquisition by Clearlake Capital Group, taking the company private. This decision, driven by the Board's strategic review, fundamentally changed the company's structure and market perception.
The acquisition was completed on August 26, 2025, at an enterprise valuation of $7.7 billion, with shareholders receiving $9.15 per share. This move removes the company from the scrutiny of public markets and quarterly earnings calls, giving the new private equity owner, Clearlake Capital, greater flexibility to make long-term, politically sensitive strategic decisions-like deeper government partnerships-without immediate shareholder pressure. The public market impact was immediate: Dun & Bradstreet suspended all forward-looking guidance in its Q1 2025 financial results due to the proposed transaction.
| Political Factor | 2025 Impact & Status | Actionable Insight |
|---|---|---|
| D-U-N-S® to UEI Transition | Loss of exclusive ID mandate (completed April 2022). The political risk is now competitive, not regulatory. | Monitor GSA's future entity validation service (EVS) procurement for new competitive threats. |
| Geopolitical Instability | Drives demand for risk products; Global Supply Chain Continuity Index dropped 9.7% in Q3 2025. | Focus investment analysis on the Finance & Risk solution segment's growth rate. |
| Clearlake Capital Acquisition | Completed on August 26, 2025, for $7.7 billion enterprise value. | Market perception shifts from public growth targets to private value creation; reduced transparency. |
| US Government Revenue Sensitivity | A key revenue stream within the North America segment (Q1 2025 revenue: $398.0 million). | Track US public sector IT appropriations bills for potential spending cuts or increases. |
Finance: Re-evaluate Dun & Bradstreet's long-term government contract value under the new private ownership structure by Friday.
Dun & Bradstreet Holdings, Inc. (DNB) - PESTLE Analysis: Economic factors
The core economic reality for Dun & Bradstreet is a modest growth projection for 2025, coupled with the massive financial and strategic shift of its acquisition by Clearlake Capital Group, L.P. This move fundamentally alters the company's capital structure and reporting environment, moving it from a public entity to a privately held one.
2025 Revenue and Profit Projections
You should view Dun & Bradstreet's 2025 financial guidance as a stable, low-to-mid-single-digit growth scenario, which is defintely a realist outlook given the global economic flux. The company projects total revenues for the 2025 fiscal year to be between $2.44 billion and $2.5 billion. This represents a modest increase of 2.5% to 5% over the full-year 2024 revenue of $2.38 billion. Organic constant currency revenue growth is expected to range from 3% to 5%, driven by a focus on vertical-specific solutions and the deployment of generative AI tools.
Profitability follows a similar trajectory. Adjusted EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization), a key measure of operational performance, is forecasted to land between $955 million and $985 million for 2025. For context, the 2024 Adjusted EBITDA was $927 million, showing a projected growth of 3% to 6.2%. This focus on maintaining strong margins-Adjusted EBITDA margin for Q1 2025 was already at 36.4%-is critical for managing the company's debt load.
| Financial Metric | 2024 Actual (Full Year) | 2025 Guidance (Full Year) | 2025 Actual (Q1 + Q2) |
|---|---|---|---|
| Total Revenue | $2.38 billion | $2.44B to $2.5B | $1.165 billion ($579.8M + $585.2M) |
| Adjusted EBITDA | $927 million | $955 million to $985 million | $417 million ($210.9M + $206.1M) |
| Organic CC Revenue Growth | 3% | 3.0% to 5.0% | 3.6% (Q1) / 0.2% (Q2) |
Global Economic Growth and Credit Risk Demand
The global economic backdrop remains a primary driver for demand in Dun & Bradstreet's core products: business decisioning data and analytics. The latest projections suggest global growth will slow from 3.3% in 2024 to 3.2% in 2025. This moderate deceleration, rather than a sharp recession, is a mixed signal for the company.
On one hand, a slowing economy increases the demand for credit risk tools. When business environments get tougher, companies need Dun & Bradstreet's data to vet suppliers, manage their accounts receivable (A/R), and mitigate counterparty risk. This is a defensive spending category that often holds up well. On the other hand, the overall slowdown, particularly in advanced economies like the US (projected to fall to 1.8% growth in 2025), can dampen sales of the company's Sales & Marketing solutions.
The key economic factors driving demand are:
- Slowing global GDP growth (projected 3.2% in 2025) increases credit risk.
- Elevated policy uncertainty and trade tensions push companies to spend on compliance and supply chain risk tools.
- High interest rates mean businesses are scrutinizing every dollar, making data-driven decisions on credit extension a necessity.
Acquisition by Clearlake Capital Group, L.P.
The most significant economic event for the company in 2025 was its acquisition by Clearlake Capital Group, L.P. The transaction, valued at $7.7 billion (including outstanding debt), was completed on August 26, 2025, effectively taking Dun & Bradstreet private. This completion, which occurred in the third quarter of 202 fiscal year, shifts the company's economic focus from quarterly public reporting and shareholder relations to long-term value creation under a private equity model.
This transition means a heavier emphasis on operational efficiency and debt management, as the transaction was funded by a combination of equity and committed debt financing. The immediate economic impact is the delisting of the stock from the New York Stock Exchange and a change in the capital structure, where the focus will be on driving margin expansion and strategic investment rather than managing short-term market expectations. The new private ownership structure will likely allow for more aggressive, multi-year investment cycles into key growth areas like generative AI and vertical market expansion, which is a major opportunity.
Dun & Bradstreet Holdings, Inc. (DNB) - PESTLE Analysis: Social factors
Sociological
You, as a decision-maker, are operating in an environment where data is no longer a tool but the core engine of business value, and this is a massive tailwind for Dun & Bradstreet Holdings, Inc. (DNB). The global Big Data and Analytics Market is a significant indicator of this demand, projected to reach approximately $393.48 Billion in 2025, growing at a steady 13% CAGR. This growth directly translates into higher demand for DNB's data-as-a-service offerings, especially risk and compliance insights.
The rising corporate reliance on data-driven decision-making is defintely boosting demand for DNB's business intelligence. Nearly 73% of organizations claim that using data reduces uncertainty and accelerates decision-making accuracy. To be fair, only about 25% of organizations base nearly all strategic decisions on data, but that still means the majority are moving this way. DNB's value proposition-providing a single source of truth for business data-is perfectly aligned with this shift, helping clients move faster and with more confidence. The market is demanding actionable intelligence, not just raw data.
WFH Models and Insider Risk
The widespread adoption of Work-From-Home (WFH) and hybrid models has introduced new, complex social risks that DNB's clients are struggling to manage, creating a clear opportunity for DNB's risk-monitoring solutions. The traditional network perimeter is gone, and the new battleground is the human element. The numbers are stark:
- 78% of organizations reported at least one security incident linked to remote work in 2025.
- The average cost of a single remote work-related breach in 2025 rose to $4.56 million.
- The financial services sector, a core DNB client base, saw the highest incident rate, with 74% reporting breaches linked to remote work in 2025.
Here's the quick math on the bigger picture: the global average total annual cost to resolve all insider incidents reached a staggering $17.4 million per organization in 2025. This is not just malicious intent; 88% of all data breach incidents are caused by, or significantly worsened by, negligent employee mistakes. This is a huge, immediate risk for DNB's clients, and it drives demand for DNB's compliance and third-party risk management tools that monitor for misconduct red flags.
Ethical AI and Transparency in Algorithms
Increased societal focus on ethical Artificial Intelligence (AI) and algorithmic fairness is a critical social factor, especially since DNB is a major provider of credit scores and risk models. The public and regulators now demand transparency (or 'explainability') in how decisions are made, particularly in high-stakes areas like credit scoring.
The regulatory landscape is already shifting in 2025. The European Union's EU AI Act, effective by mid-2025, classifies AI systems used in credit scoring as 'high-risk,' requiring strong risk controls, human oversight, and clear explainability. In the US, the Consumer Financial Protection Bureau (CFPB) enforces the Equal Credit Opportunity Act (ECOA) and the Fair Credit Reporting Act (FCRA), demanding that creditors provide specific, behavioral reasons for credit denials. The old excuse, 'the algorithm decided,' simply doesn't work anymore.
DNB needs to ensure its proprietary scores and models-like the D&B D-U-N-S Number and its credit risk scores-are not perceived as 'black boxes.' This social pressure creates a need for DNB to invest heavily in Explainable AI (XAI) technologies to maintain trust and regulatory compliance. Nearly 65% of organizations have adopted or are actively investigating AI for data and analytics as of 2025, meaning DNB's competitors are also moving here. This is a must-win area for long-term relevance.
| Social Factor Trend | 2025 Key Metric/Value | DNB Impact & Action |
|---|---|---|
| Global Big Data Market Size | $393.48 Billion (Global Big Data and Analytics Market in 2025) | Opportunity: Confirms a massive, growing addressable market for DNB's core data products and services. |
| Corporate Data Reliance | 73% of organizations claim data accelerates decision-making accuracy. | Opportunity: Direct driver for higher-value, subscription-based data-as-a-service products. |
| WFH & Insider Risk Cost | Average annual cost to resolve insider incidents reached $17.4 million per organization in 2025. | Opportunity: Drives urgent client demand for DNB's Third-Party Risk Management and Compliance solutions. |
| Ethical AI & Transparency | EU AI Act classifies credit scoring as 'high-risk' (mid-2025 effective). | Risk/Action: Requires DNB to prioritize investment in Explainable AI (XAI) for all credit and risk scoring algorithms to ensure compliance and maintain social license. |
Dun & Bradstreet Holdings, Inc. (DNB) - PESTLE Analysis: Technological factors
Launched D&B.AI™ suite in October 2025, integrating Gen AI into core offerings
The biggest near-term technological opportunity for Dun & Bradstreet is its push into Generative Artificial Intelligence (Gen AI). The company launched the D&B.AI™ suite on October 16, 2025, a clear signal that AI is now a core part of its product strategy. This isn't just a simple chatbot; it is a suite designed to help organizations build and deploy Gen AI agents that are grounded in verified business data, specifically leveraging the global standard D-U-N-S® Number for verification. The goal is to solve the common industry problem of Large Language Model (LLM) hallucinations by anchoring AI outputs to trusted commercial insights. That's a smart move to differentiate on data quality.
The D&B.AI™ suite includes several specialized tools:
- ChatD&B™: A natural language interface to query D&B's vast data.
- Purpose-built D&B.AI Agents: Specialized agents for high-value workflows like credit risk and compliance.
- Agent-to-Agent (A2A) options: Enables secure, direct communication between different AI agents.
This focus on an 'agentic future' for knowledge work is defintely where the market is heading, and D&B is positioning itself as the foundational data layer for enterprise AI.
AI tools analyze real-time data on over 600 million businesses globally
Dun & Bradstreet's competitive edge is its massive data asset, the Dun & Bradstreet Data Cloud. The company's AI tools are not just processing a large volume of data; they are analyzing real-time insights on over 600 million public and private businesses across more than 200 countries. To put that scale into perspective, the global number of businesses is approximately 358.7 million as of 2025, according to some estimates, meaning D&B's Data Cloud covers a significant portion of the global business activity, including subsidiaries and related entities. Here's the quick math on the sheer scale of their data coverage:
| Metric | Value (2025 Fiscal Year) | Significance |
|---|---|---|
| Businesses in D&B Data Cloud | >600 million | World's most comprehensive source of business decisioning data. |
| Global Businesses (Estimate) | 358.7 million | D&B's coverage extends far beyond simple company counts. |
| Fortune 500 Reliance | >90% | Indicates deep integration into the world's largest enterprises. |
The challenge is maintaining the quality and real-time nature of this massive dataset, but the opportunity is providing unparalleled depth for AI-driven risk management and sales intelligence.
Strategic partnership with Google Cloud helps modernize infrastructure and develop new solutions
To support this massive data-and-AI push, D&B has a 10-year strategic agreement with Google Cloud, which is its preferred cloud provider for infrastructure modernization. This partnership is crucial for moving away from fragmented, multi-provider infrastructure to a unified cloud environment. This is a massive undertaking, but it's essential for speed and stability.
The modernization effort includes leveraging Google Cloud tools like Google Kubernetes Engine (GKE) and Cloud SQL, which allows D&B's engineers to focus on building new products instead of managing complex infrastructure. The joint innovation agenda has already produced results, with D&B becoming a founding data provider for Google Cloud's Supply Chain Twin solution, a key development for tackling the persistent supply chain risk issues businesses face in 2025. This collaboration helps D&B deliver next-generation solutions faster and at scale.
Legacy systems and poor data quality remain a significant obstacle for many clients
While D&B is innovating, many of its clients are stuck in the past, and that creates an integration bottleneck. A November 2025 Dun & Bradstreet survey of financial services and insurance professionals highlighted that 64% of firms lack confidence in their data for decision-making and risk management. This is a huge problem. Plus, more than half of those surveyed admitted that their AI projects had failed because of poor data foundations.
This client-side struggle with legacy systems and manual processes is a major headwind. D&B can have the best AI tools, but if the client's internal systems cannot ingest or act on the insights effectively, the value proposition shrinks. This means D&B needs to invest heavily not just in AI, but also in making its integration with clients' existing Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) systems as seamless as possible. If onboarding takes 14+ days, churn risk rises. This is a sales and technology problem rolled into one.
Dun & Bradstreet Holdings, Inc. (DNB) - PESTLE Analysis: Legal factors
EU's AI Act rules on general-purpose AI systems become effective in August 2025
The European Union's Artificial Intelligence Act (AI Act) is a defintely critical new legal factor for Dun & Bradstreet, especially since many of your core products-like credit scoring, risk modeling, and business intelligence-rely heavily on AI. Rules for providers of General-Purpose AI (GPAI) models became applicable on August 2, 2025. This means DNB must now comply with new transparency and documentation requirements for any GPAI models placed on the EU market after that date.
This isn't a small compliance lift; the rules mandate technical documentation and a public summary of the training data content, including copyrighted material used. The financial stakes are high, too. While enforcement powers for GPAI obligations start in August 2026, non-compliance can lead to administrative fines of up to €15 million or 3% of the company's global annual turnover, or up to €35 million or 7% of global turnover for prohibited practices. You need to map every AI model to these risk categories now.
Constant compliance burden from fragmented global data privacy laws like GDPR and CCPA
You know the drill here: the compliance burden from fragmented global data privacy laws is a constant, expensive reality. The General Data Protection Regulation (GDPR) in the EU and the California Consumer Privacy Act (CCPA), along with its update, the California Privacy Rights Act (CPRA), force continuous, jurisdiction-specific compliance. This is a massive operational cost, but it's non-negotiable.
A specific, recent ruling directly impacts DNB's core business model. The Court of Justice of the European Union (CJEU) delivered a judgment on February 27, 2025, in the CK v Dun & Bradstreet case (Case C-203/22). This decision mandates that DNB must provide data subjects with meaningful information about the logic involved in automated credit scoring decisions. Here's the quick math: you cannot simply hide behind the protection of trade secrets (the algorithm itself) to deny a data subject access to an explanation of how their data led to a specific credit score. This ruling significantly tightens the transparency requirement for DNB's automated decision-making products across the EU.
The global fragmentation is only increasing. For instance, India's Digital Personal Data Protection Act (DPDPA) is expected to be fully operational in 2025, adding another major jurisdiction to the compliance matrix.
Potential 'Schrems III' legal challenge to the EU-US Data Privacy Framework (DPF) in 2025
For a company like Dun & Bradstreet that relies on the free flow of data across the Atlantic, the stability of the EU-US Data Privacy Framework (DPF) is crucial. While the EU General Court upheld the DPF on September 3, 2025, dismissing a challenge by a French politician, the legal risk is far from over. Privacy activist Max Schrems, who successfully invalidated the DPF's two predecessors (Safe Harbour and Privacy Shield), is still weighing options for a new challenge, often called 'Schrems III.'
This means the DPF is currently valid, providing temporary relief for the over 3,400 US companies that rely on it for transatlantic data transfers. Still, the risk of a third invalidation by the Court of Justice of the EU (CJEU) is a clear, near-term threat. If the DPF is struck down again, DNB would immediately face legal uncertainty and a higher administrative burden, forcing a rapid shift back to relying on Standard Contractual Clauses (SCCs) for all EU-US data transfers. That's a massive logistical headache.
Heightened cybersecurity risks necessitate robust security frameworks
The regulatory environment for cybersecurity is tightening globally, reflecting the increasing sophistication of cyber threats. For a financial data provider like DNB, compliance is a matter of survival and maintaining customer trust.
In the US, the updated Gramm-Leach-Bliley Act (GLBA) now requires stricter controls on third-party vendors, which is key for DNB's extensive partner network. Also, the New York Department of Financial Services (NYDFS) Cybersecurity Regulation (23 NYCRR 500), a model for other states, imposes rigorous standards for risk assessment, continuous monitoring, and incident notification for any entity operating in New York. Non-compliance here can result in fines up to $250,000 per violation.
In the EU, the Digital Operational Resilience Act (DORA) became effective on January 17, 2025, and is a game-changer. It standardizes technical requirements for cybersecurity and operational resilience across financial institutions and their ICT service providers, which includes DNB. One of the first key DORA compliance deadlines, for registering ICT service providers, was in April 2025.
Here's a snapshot of the key regulatory deadlines and penalties you're managing in 2025:
| Regulation / Challenge | Jurisdiction | Key 2025 Event / Status | Maximum Potential Financial Impact (Example) |
|---|---|---|---|
| EU AI Act (GPAI Obligations) | European Union | Rules became applicable on August 2, 2025. | Up to €35 million or 7% of global turnover (for prohibited practices, enforcement starts Aug 2026). |
| GDPR (Automated Decision-Making) | European Union (Global Impact) | CJEU judgment on February 27, 2025, in Dun & Bradstreet case, requiring greater transparency on credit scoring logic. | Up to €20 million or 4% of global turnover (standard GDPR fine). |
| EU-US Data Privacy Framework (DPF) | EU / US | EU General Court upheld DPF on September 3, 2025, but 'Schrems III' challenge remains a high-probability risk. | Invalidation would force costly transition to SCCs and increase legal uncertainty. |
| Digital Operational Resilience Act (DORA) | European Union | Effective January 17, 2025; initial compliance deadline for ICT service provider registration in April 2025. | Significant operational cost for compliance; fines to be determined by national authorities. |
| NYDFS Cybersecurity Regulation | New York, US | Ongoing compliance with rigorous standards for financial services. | Up to $250,000 per violation. |
Your action item is clear: Finance and Legal must draft a risk-adjusted compliance budget for DORA and the EU AI Act by the end of the year.
Dun & Bradstreet Holdings, Inc. (DNB) - PESTLE Analysis: Environmental factors
Growing corporate emphasis on Environmental, Social, and Governance (ESG) reporting and data.
The environmental component of ESG is no longer a niche concern; it is a core driver of investment and corporate strategy, which is a massive tailwind for Dun & Bradstreet Holdings, Inc.. You're seeing this shift everywhere, from regulatory mandates to investor pressure. To be frank, if you don't have a clear ESG data strategy in 2025, you are defintely behind the curve.
This macro-trend directly fuels demand for DNB's core product, the Dun & Bradstreet Data Cloud, as companies need reliable, standardized data to meet new disclosure requirements. The investor side is particularly aggressive: by 2025, an estimated 71% of investors plan to incorporate ESG factors into their portfolios, up from previous years [cite: 6 (from step 1)]. This means a company's environmental profile directly impacts its cost of capital and valuation.
ESG and reputational threats are a top concern for financial services professionals.
Financial institutions are not just talking about ESG; they are putting serious money behind it to manage both regulatory and reputational risk. A significant portion of the financial services sector views climate and environmental threats as a near-term risk that can trigger immediate financial and public relations damage.
Here's the quick math: over 72% of financial institutions are planning to spend at least $500,000 or more on new ESG technology. That spending is mostly focused on data, analytics, and reporting tools to manage these threats. This high level of investment shows that for financial professionals, ESG is a critical risk mitigation expense, not just a marketing line item.
Demand for DNB data to assess third-party supply chain sustainability and compliance.
The biggest environmental risk for most large companies sits in their supply chain (Scope 3 emissions), and that's where DNB's data-centric business model shines. New regulations, like the European Union's Corporate Sustainability Reporting Directive (CSRD), are forcing companies to disclose extensive data on emissions and other metrics from their entire value chain, starting in 2025 [cite: 2 (from step 1)].
This is a gold rush for third-party data providers. The global Sustainable Supply Chain Finance Market alone is projected to reach approximately $7,112.36 million in 2025, demonstrating the capital flowing into this area [cite: 11 (from step 1)]. DNB is capitalizing on this by partnering with Intercontinental Exchange (ICE) to launch a new climate risk data offering. This service provides transition risk data, including detailed Greenhouse Gas (GHG) Scope 1, 2, and 3 emissions, on tens of millions of public and private companies globally.
This new product directly supports clients who must:
- Measure supplier carbon footprints for compliance.
- Identify supply chain risks related to environmental practices.
- Benchmark vendor environmental performance against industry standards [cite: 1 (from step 1)].
The company must address its own carbon footprint and operational sustainability.
As a leading ESG data provider, DNB must practice what it preaches; its own environmental performance is a key part of its corporate reputation (Governance). The company's carbon footprint is primarily driven by its data centers and office energy use, as it is a data and analytics firm, not a manufacturer. They are working on it.
The company is actively transitioning to a multi-cloud data center solution to reduce the carbon footprint associated with data processing and storage [cite: 7 (from step 1)]. Furthermore, its Jacksonville, Florida headquarters has been ENERGY STAR certified by the Environmental Protection Agency (EPA) since 2020 [cite: 7 (from step 1)].
Here is a snapshot of Dun & Bradstreet's operational environmental performance, based on 2024 data:
| Metric (2024 Fiscal Year) | Value | Context |
|---|---|---|
| Scope 1 GHG Emissions (tCO2e) | 634.45 | Direct emissions from owned/controlled sources. |
| Scope 2 GHG Emissions (tCO2e) | 2,484.6 | Indirect emissions from purchased electricity (location-based). |
| Emissions Intensity (tCO2e / million USD Revenue) | 1.3 | Represents an 18.8% reduction from the prior year (2023). |
| Tree Planting Commitment | 19,600 trees | Projected to offset more than 390,000 kgs of CO2 annually when mature [cite: 7 (from step 1)]. |
The key action here is for DNB to continue reducing its emissions intensity, which shows a clear efficiency gain, and to publicly announce a formal, Science-Based Targets initiative (SBTi) aligned emissions reduction goal for 2030 to maintain its credibility in the ESG sector.
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