Global Companies Data
At Nomad Data we help you find the right dataset to address these types of needs and more. Submit your free data request describing your business use case and you'll be connected with data providers from our nearly 3,000 partners who can address your exact need.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
At Nomad Data we help you find the right dataset to address these types of needs and more. Sign up today and describe your business use case and you'll be connected with data vendors from our nearly 3000 partners who can address your exact need.
Data and the business world are inexorably linked, yet the full potential of (1) data is still not even close to being fully explored in the commercial sector. While any and all types of data can be utilized by business professionals when looking to gain deeper insights and a better understanding of the global corporate landscape, there are some clear-cut cases such as business data, contact data, financial data, and web scraping that can be especially illuminating when it comes to uncovering the inner workings of international businesses.
Business data is a catch-all phrase that encompasses virtually any detail pertaining to a specific enterprise, ranging from industry-specific data such as employment numbers, customer behavior, and market share to more general information like headquarters locations, industry categories, and company size. By collecting and analyzing this data, business professionals are better equipped to understand the operational intricacies and performance details of a company on both a local and global scale. This type of information can also be helpful for uncovering trends related to the industry or sector in question and is invaluable when making important decisions about business strategies and tactics.
Contact data, as the name implies, is specific to individual people or entities that are related to a particular enterprise. This type of information encompasses both current and past contact information, such as phone numbers, email addresses, physical addresses, and more. By leveraging contact data, it becomes much easier to delve into the specifics of how a company works on an individual basis, who helps drive its success and direction, and which people are vital to its daily operations. The availability of contact data can also be beneficial for looking into the hierarchy of the organization and analyzing which departments within the company have the greatest influence over its decisions and processes.
Financial data is particularly pertinent for business professionals, providing a detailed snapshot of an enterprise’s fiscal and economic standing. This type of data ranges from operating performance metrics such as and revenue, profits, and margin, to more customized and company-specific financial information like financial projections, balance sheets, and profit & loss statements. With financial data in hand, professionals can better understand the financial health of a global company and get a more comprehensive sense of its revenue sources and expenses. Having this kind of data can also assist in forming critical evaluations of both the risks posed by a particular business’s financial decisions as well as the potential reward that could be earned through investing in it.
Finally, as the prevalence of digital technologies permeates every aspect of modern life and data becomes increasingly abundant, web scraping has gained ground as an effective way to gain quick insights into global corporations. By automatedly collecting and parsing data from publicly available sources such as websites, social media profiles, and corporate financial filings, professionals can rapidly mine information related to the operational and financial states of broadly-based organizations. This type of data is especially useful for getting a real-time sense of the expenses associated with a company’s operations and any trends pertaining to corporate misbehavior.
When combined, each of these four types of data—business data, contact data, financial data, and web scraping—provide a robust picture of global companies and help business professionals better understand the specifics of any given enterprise. They also facilitate the ability to make more accurate predictions about where a business is headed, its risk profiles and rewards, and other pertinent details. Through the adept utilization of such data, companies can become more transparent and lay the groundwork for success both individually and in the global market.
Business data is a catch-all phrase that encompasses virtually any detail pertaining to a specific enterprise, ranging from industry-specific data such as employment numbers, customer behavior, and market share to more general information like headquarters locations, industry categories, and company size. By collecting and analyzing this data, business professionals are better equipped to understand the operational intricacies and performance details of a company on both a local and global scale. This type of information can also be helpful for uncovering trends related to the industry or sector in question and is invaluable when making important decisions about business strategies and tactics.
Contact data, as the name implies, is specific to individual people or entities that are related to a particular enterprise. This type of information encompasses both current and past contact information, such as phone numbers, email addresses, physical addresses, and more. By leveraging contact data, it becomes much easier to delve into the specifics of how a company works on an individual basis, who helps drive its success and direction, and which people are vital to its daily operations. The availability of contact data can also be beneficial for looking into the hierarchy of the organization and analyzing which departments within the company have the greatest influence over its decisions and processes.
Financial data is particularly pertinent for business professionals, providing a detailed snapshot of an enterprise’s fiscal and economic standing. This type of data ranges from operating performance metrics such as and revenue, profits, and margin, to more customized and company-specific financial information like financial projections, balance sheets, and profit & loss statements. With financial data in hand, professionals can better understand the financial health of a global company and get a more comprehensive sense of its revenue sources and expenses. Having this kind of data can also assist in forming critical evaluations of both the risks posed by a particular business’s financial decisions as well as the potential reward that could be earned through investing in it.
Finally, as the prevalence of digital technologies permeates every aspect of modern life and data becomes increasingly abundant, web scraping has gained ground as an effective way to gain quick insights into global corporations. By automatedly collecting and parsing data from publicly available sources such as websites, social media profiles, and corporate financial filings, professionals can rapidly mine information related to the operational and financial states of broadly-based organizations. This type of data is especially useful for getting a real-time sense of the expenses associated with a company’s operations and any trends pertaining to corporate misbehavior.
When combined, each of these four types of data—business data, contact data, financial data, and web scraping—provide a robust picture of global companies and help business professionals better understand the specifics of any given enterprise. They also facilitate the ability to make more accurate predictions about where a business is headed, its risk profiles and rewards, and other pertinent details. Through the adept utilization of such data, companies can become more transparent and lay the groundwork for success both individually and in the global market.
