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Diversity of Senior Management

Source: https://www.reveliolabs.com/blog/diversity-of-senior-management

Using social security, census, voter registration, and job title data, we’re able to classify names by gender and ethnicity, and classify positions by seniority. Below are those distributions in tech:

Below are those distributions for the largest tech companies, for only the most senior employees:

And finally, below are those joint distributions, to give a complete view of the demographics of senior employees.

Key Takeaways:

  • Differences in gender and ethnicity distributions are most dramatic within senior management.
  • Representation among senior management drops most dramatically for female employees.
  • The effect of being from two minority groups is smaller than what would be expected if the effects were independent.

To learn more about the data behind this article and what Revelio Labs has to offer, visit https://www.reveliolabs.com/.

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Financial institutions use this data for artificial intelligence and predictive models to forecast the performances of businesses. Combined, the datasets can provide insights into the financial health of businesses operating in the travel and tourism industry. This list contains companies like airlines, airplane leasing companies, oil companies, hotels and travel agencies.

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Data is changing the speed of business. Investors, Corporations, and Governments are buying new, differentiated data to gain visibility make better decisions. Don't fall behind. Let us help.

DATA PROVIDER SPOTLIGHT

ForwardKeys

ForwardKeys is one of the leading travel analytics firms that provides investment firms with alternative and predictive data on the travel industry. Data is offered both on the demand and the offer-side of the aviation market.

Actual Air Reservations is an aggregation of flight bookings made via the Global Distribution Systems. Exclusive agreements make that global travel data is available, including regions that are generally difficult to track. This data contains valuable insights into the profile, behaviour, and impact of events on past, present and future air travellers.

Seat Capacity provides insights into the scheduled flights from 99% of global commercial airlines.

Financial institutions use this data for artificial intelligence and predictive models to forecast the performances of businesses. Combined, the datasets can provide insights into the financial health of businesses operating in the travel and tourism industry. This list contains companies like airlines, airplane leasing companies, oil companies, hotels and travel agencies.