Data Zymes
Management Consulting, 500 Office CTR Dr, Philadelphia, Pennsylvania, 19034, United States, 51-200 Employees
Who is DATAZYMES
Catalyzing Innovation in Pharma with Data-driven Digital Products. The idea of DataZymes germinated with the realization that Pharma Commercial teams had few alternatives to the antiquate...
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Headquarters: 500 Office CTR Dr, Philadelphia, Pennsylvania, 19034, United States
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Date Founded: 2016
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Employees: 51-200
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Revenue: $5 Million to $10 Million
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Active Tech Stack: See technologies
Industry: Management Consulting
SIC Code: 7372
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Frequently Asked Questions Regarding DataZymes
Answer: DataZymes's headquarters are located at 500 Office CTR Dr, Philadelphia, Pennsylvania, 19034, United States
Answer: DataZymes's official website is https://datazymes.com
Answer: DataZymes's revenue is $5 Million to $10 Million
Answer: DataZymes's SIC: 7372
Answer: DataZymes has 51-200 employees
Answer: DataZymes is in Management Consulting
Answer: DataZymes contact info: Phone number: Website: https://datazymes.com
Answer: Catalyzing Innovation in Pharma with Data-driven Digital Products. The idea of DataZymes germinated with the realization that Pharma Commercial teams had few alternatives to the antiquated and inefficient solutions offered by traditional consulting and technology companies. Already a laggard in analytical maturity, the Pharma industry had been facing challenges to adapt to a Big Data world. We saw that the products offered by technology companies were too rigid and generic to handle novel problems. The custom solutions offered by consulting organizations took too long to deploy and required many services to maintain and improve. We felt the need for a different approach to finding solutions and we knew it would take a different kind of company to build it. Thats why DataZymes. Were focused on creating the worlds best user experience for working with data, one that empowers people to ask and answer complex questions without requiring them to master querying languages, statistical modeling, or the command line. To achieve this, we are building platforms for integrating, managing, and securing data on top of which we layer applications for fully interactive machine-driven, human-assisted analysis.
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