Employee Figures Q&A

Q: Does Dun & Bradstreet provide global modeling information globally?

A: Yes, global modeling is implemented in the global data environment for most major countries and available to customers via Dun & Bradstreet’s global database, called WorldBase.

Q: How does Dun & Bradstreet collect employee information?

A: We collect employee information a variety of ways using third-party sources including local government registries, phone interviews, customer’s own update and models.

Q: Does Dun & Bradstreet model on both Employee Location and Employee Total fields?

A: Modeled Employee data is available in the Employee Location and Employee Total fields for single-site, non-subsidiary locations.

Q: Do branch records have Employee Total data?

A: Dun & Bradstreet only captures Employee Location figures for a branch record in accordance with its global data policy.

Q: Does Dun & Bradstreet model Employee figures for branch records?

A: No, Employee data is modeled for single-site, non-subsidiary locations only.

Q: What variables and base data are used to calculate Employee figures in the model?

A: Dun & Bradstreet uses variables such as four-digit SIC codes, number of payment experiences at the site level and age of business.

Q: Are there any records beyond branch records that are excluded for Employee modeling?

A: Yes. Dun & Bradstreet does not model Out of Business records or records without a valid SIC code (not 9999).

Q: Can Dun & Bradstreet remove a modeled Sales / Employee?

A: No, Dun & Bradstreet does not remove modeled sales or employee figures unless actual numbers are provided by the business owner. We will gladly replace modeled figures with actual figures if the business owner provides us with that information. If the business owner is unwilling to provide that information, we will continue to model Employee data so we can provide as much business insight as possible to our customers.

Q: Does Dun & Bradstreet include part-time, seasonal and contracted Employees?

A: Dun & Bradstreet makes every effort to collect employee figures at all sites and branches.  We collect the data from direct telephone interviews, financial statements, third party sources, government registries, and other sources.   While in the spirit of the collection process Dun & Bradstreet attempts to collect the number of full or part time employees, there is no guarantee that company owners/authorized reporters will exclude or include part-time, seasonal or contracted employees.
 

Q: Why doesn’t the sum of the Employee Location figures equal the Employee Total figures in a family tree?

A: In this less-than-perfect world, Dun & Bradstreet does not recommend the practice of aggregating employees within a corporate family tree. If you need the total employee figure within a company, start at the Global Ultimate node of the tree for the Employee number. If it is a shell company with zero or a very small number of employees, move down a node.

There are many factors that impact the ability to sum all Employees Here figures to get to Employees Total. Top reasons include:

  • Local country conventions often count employees differently.
  • Different responses to requests for information about number of employees. Often, respondents provide a total company employee count to a request that is site-specific. This can result in double counting. Employee counts fluctuate over time at the branch and subsidiaries, as seasonal and part-time workers come and go.
  • Large companies often don’t have accurate and timely employee counts that match Dun  &Bradstreet’s family tree definitions.
  • Finally, no one has perfect family tree structures.
Q: Why are there so many records in Data.com that have a modeled Employee figure?

A: Modeling is the process by which employee figures built using complex statistical formulae that takes into account a company’s underlying characteristics such as age, geography, line of business and other element to predict a company's employee count.

Employee figures are often some of the most difficult data to collect from businesses.  Modeling is a cost-effective and efficient way to fill in these missing data elements, as it provides an accurate, predictive measure of a company’s size so that you can better segment your prospects and customers for various marketing and channel management activities. Models are not going to exactly pinpoint the total number of employees for a company, but they will give you the insight as to the relative size of that business so that you can best decide how to conduct business with them.
 

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