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Discover Relationships and Linkages between

Businesses Globally.

  • Corporate Relationships Data: We provide comprehensive information on connections and ownership between global businesses, highlighting parent and subsidiary relationships, as well as details about their executives and company shares. Our database contains data on over 350 million businesses worldwide, along with information on more than 655 million linked CEOs and executives.
  • Global Coverage: Our database encompasses all 220 countries and territories, allowing you to view corporate connections between companies across different countries and continents.
  • Custom Datasets: Corporate linkage is one of 460 business data attributes available in our database. You can access a wide range of business data beyond just linkage and create your own customized dataset based on the attributes you need.
  • Fully Compliant Data: All data in our database is compliant with GDPR and CCPA regulations and adheres to all local norms and standards.
  • One Structured Format: All global formats (such as SIC, NACE, and more) are organized and delivered to our clients in a clear, consistent format.
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  • 655M+
    Executives
  • 1 Billion
    Contact Data
  • 360M+
    Companies
  • 3500+
    Industries
  • 460+
    Data Attributes
  • 1100+
    Data Streams
  • 30
    Years in Business
  • 17
    Languages
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CORPORATE LINKAGE data

Use Cases.

  1. A SaaS company enriched its CRM with corporate linkage data, allowing sales teams to identify related companies of existing customers. By uncovering parent-child business relationships, the sales team could approach subsidiaries or sister companies with tailored upsell offers, leading to higher deal conversions.

  2. A B2B marketing firm used company relationship data to create highly targeted campaigns. Instead of treating each business as a separate entity, they grouped related companies under corporate umbrellas and designed personalized outreach strategies for each group. This increased engagement and improved lead generation.
  3. A business intelligence provider integrated corporate linkage APIs into its platform, allowing users to validate potential business partners before entering into agreements. By analyzing ownership structures and affiliations, users could identify hidden risks or discover new opportunities within corporate networks.

     

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  1. An investment firm analyzed corporate linkage data to uncover hidden ownership structures of potential acquisition targets. Before finalizing any deals, they assessed whether the target company had undisclosed subsidiaries, joint ventures, or financial liabilities within its corporate structure. This reduced the risk of unforeseen complications during the acquisition process.
  2. A private equity firm used corporate relationship insights to track industry consolidation trends. By analyzing acquisitions and mergers within specific sectors, they identified emerging investment opportunities and strategically positioned themselves ahead of competitors.
  3. A consulting firm utilized corporate linkage data to assess post-merger risks. They examined the relationships between newly acquired companies and external vendors, ensuring there were no conflicts of interest or dependencies that could disrupt business operations.
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  1. A financial institution integrated corporate linkage data into its credit risk model to assess a company’s financial health. By understanding the relationships between parent companies, subsidiaries, and affiliates, the institution could determine if financial struggles in one entity could impact others in the corporate network. This insight allowed for more informed lending decisions and reduced credit risk.
  2. A bank used corporate relationships data to strengthen its fraud detection process. By analyzing hidden connections between businesses, it identified shell companies created to evade regulations or commit financial fraud. This helped the bank prevent fraudulent transactions and ensure compliance with anti-money laundering (AML) regulations.
  3. A fintech company incorporated corporate linkage data into its KYC (Know Your Customer) and AML compliance tools. This enabled them to verify beneficial ownership structures and flag businesses with questionable affiliations. As a result, the fintech company enhanced regulatory compliance and protected itself from potential legal risks.
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Frequently asked questions
What is corporate linkage data?
Corporate linkage data provides insights into the relationships between companies, including parent-subsidiary structures, shared ownership, and affiliations. It helps businesses understand how companies are connected within corporate groups and who ultimately controls them.
Why is corporate linkage data important for businesses?

This data is essential for risk assessment, market research, sales prospecting, and compliance. It enables companies to identify potential business opportunities, assess financial risks, detect fraud, and ensure regulatory compliance by understanding corporate ownership structures.

What industries benefit from corporate linkage data?

Industries such as financial services, legal, procurement, marketing, and M&A rely on corporate linkage data. Banks use it for credit risk analysis, marketers for account-based strategies, and regulators for anti-money laundering (AML) compliance.

How does corporate linkage data help with risk management?

By revealing hidden relationships between businesses, corporate linkage data helps companies assess financial exposure, avoid doing business with sanctioned entities, and prevent fraud by identifying shell companies or high-risk connections.

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