CREWASIS

Crewasis

Information Services, 35 W 44th St, New York, 10011, United States, 11-50 Employees

crewasis.com

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Who is CREWASIS

CREWASIS solves tough brand problems for Fortune 1,000 companies using data science. CREWASIS is full service data science company who is at the intersection of tech, statistics, and stra...

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  • 35 W 44th St, New York, New York, 10011, United States Headquarters: 35 W 44th St, New York, New York, 10011, United States
  • 2017 Date Founded: 2017
  • 11-50 Employees: 11-50
  • dollar-icon Revenue: $5 Million to $10 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Information Services

SIC SIC Code: 8748 | NAICS Code: 541690 | Show More

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Frequently Asked Questions Regarding CREWASIS

Answer: CREWASIS's headquarters are located at 35 W 44th St, New York, 10011, United States

Answer: CREWASIS's phone number is +16*********

Answer: CREWASIS's official website is https://crewasis.com

Answer: CREWASIS's revenue is $5 Million to $10 Million

Answer: CREWASIS's SIC: 8748

Answer: CREWASIS's NAICS: 541690

Answer: CREWASIS has 11-50 employees

Answer: CREWASIS is in Information Services

Answer: CREWASIS contact info: Phone number: +16********* Website: https://crewasis.com

Answer: CREWASIS solves tough brand problems for Fortune 1,000 companies using data science. CREWASIS is full service data science company who is at the intersection of tech, statistics, and strategy. CREWASIS helps companies make better business decisions by translating complex data sets into actionable strategies, insights and trends, while helping to build the human capital in companies to do the same. The company simplifies the data science world so that Marketers and Sales team can focus on executing the insights instead of mining the data for them. In depth data and analytics is a revolution in the field of Information Technology. Look at the amount of data we are exposed to on a second, minute and hourly basis. We are moving from digital to data transformation which involves the use of analytics techniques like machine learning, data mining, natural language processing, and statistics to create insights to outperform the competition.

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