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Cannabis Big Data overview

Industry
Technology
Revenue
Headquarters
Employees
50
Founded in
Website
Organization type
Private
Developer of a business data analytics software designed to publish critical business management reports that identifies areas for improved efficiency and revenue. The company's business data analytics software integrates with data sources such as POS and accounting and offers turn-key business intelligence, reports and insights, enabling enterprises to increase sales and profits.
Cannabis Big Data is a relatively young company. It was founded only in 2016. This emerging company loves to hire graduates from San Jose State University, with 10.4% of its employees having attended San Jose State University. If you want to check out some more established companies, you can find other great places to work on Zippia's list of Best Companies to Work For in Colorado Springs, CO.The average employee at Cannabis Big Data makes $63,785 per year. Pay at Cannabis Big Data is significantly lower than some of its highest paying competitors, like Vidyo, Nasuni, and HealthEdge, which pay $110,112, $105,760, and $103,913, respectively.
Cannabis Big Data is a small technology company based in Colorado Springs, CO with only 50 employees and an annual revenue of $690,000.

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The team at Cannabis Big Data

  • The founders of Cannabis Big Data are Jason Cooper, Levi Martin and Srini Pagidyala.
  • The key people at Cannabis Big Data are Jason Cooper, Levi Martin and Srini Pagidyala.
Key people
Jason Cooper
Levi Martin
Srini Pagidyala

Cannabis Big Data rankings

Cannabis Big Data is ranked #6 on the Best Technology companies to work for in Colorado Springs, CO list. Zippia's Best Places to Work lists provide unbiased, data-based evaluations of companies. Rankings are based on government and proprietary data on salaries, company financial health, and employee diversity.

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Cannabis Big Data salaries

Average Cannabis Big Data salary
$63,785
yearly
$30.67 hourly
Updated March 14, 2024

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Cannabis Big Data diversity

8.8
Diversity score
We calculated Cannabis Big Data’s diversity score by measuring multiple factors, including the ethnic background, gender identity, and language skills of Cannabis Big Data’s workforce.
Cannabis Big Data diversity summary. Zippia estimates Cannabis Big Data's demographics and statistics using a database of 30 million profiles. Zippia verifies estimates with BLS, Census, and current job openings data for accuracy. We calculated Cannabis Big Data's diversity score by measuring multiple factors, including the ethnic background, gender identity, and language skills of Cannabis Big Data's workforce.
  • Cannabis Big Data has 50 employees.
  • 34% of Cannabis Big Data employees are women, while 66% are men.
  • The most common ethnicity at Cannabis Big Data is White (41%).
  • 33% of Cannabis Big Data employees are Asian.
  • 12% of Cannabis Big Data employees are Hispanic or Latino.
  • The average employee at Cannabis Big Data makes $63,785 per year.
  • Employees at Cannabis Big Data stay with the company for 4.5 years on average.

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Cannabis Big Data financial performance

6.9
Performance score

Highest paying Cannabis Big Data competitors

Compare Cannabis Big Data salaries to competitors, including Vidyo, Nasuni, and HealthEdge. Employees at Vidyo earn the highest average yearly salary of $110,112. The salaries at Nasuni average $105,760 per year, and the salaries at HealthEdge come in at $103,913 per year.
RankCompanyAverage salaryJobs
1$110,1120
2$105,7600
3$103,9130
4$102,7870
5$102,6930
6$101,7710
7$99,8980
8$96,8710
9$95,1190
10$91,5940

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Cannabis Big Data FAQs

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Zippia gives an in-depth look into the details of Cannabis Big Data, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Cannabis Big Data. The employee data is based on information from people who have self-reported their past or current employments at Cannabis Big Data. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. None of the information on this page has been provided or approved by Cannabis Big Data. The data presented on this page does not represent the view of Cannabis Big Data and its employees or that of Zippia.

Cannabis Big Data may also be known as or be related to Big Data Analytics, Big Data Analytics Inc, Big Data Analytics, Inc. and Cannabis Big Data.