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Datastat
Research, 3975 Research Park Dr, Ann Arbor, Michigan, 48108, United States, 51-200 Employees
Phone Number: +18*********
Who is DATASTAT
Datastat, Inc. is a nationally recognized social research firm based out of Ann Arbor, MI with 35+ years of experience conducting academic quality survey research projects in collaboratio...
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Headquarters: 3975 Research Park Dr, Ann Arbor, Michigan, 48108, United States
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Date Founded: 1988
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Employees: 51-200
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Revenue: $10 Million to $25 Million
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Active Tech Stack: See technologies
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Frequently Asked Questions Regarding Datastat
Answer: Datastat's headquarters are located at 3975 Research Park Dr, Ann Arbor, Michigan, 48108, United States
Answer: Datastat's phone number is +18*********
Answer: Datastat's official website is https://datastat.com
Answer: Datastat's revenue is $10 Million to $25 Million
Answer: Datastat's SIC: 8732
Answer: Datastat's NAICS: 541611
Answer: Datastat has 51-200 employees
Answer: Datastat is in Research
Answer: Datastat contact info: Phone number: +18********* Website: https://datastat.com
Answer: Datastat, Inc. is a nationally recognized social research firm based out of Ann Arbor, MI with 35+ years of experience conducting academic quality survey research projects in collaboration with a diverse client base. We primarily work with academic researchers, government agencies, health plans and providers to support public policy, healthcare policy and CAHPS (Consumer Assessment of Healthcare Providers and Systems) research through data collection, analysis and reporting. DataStat specializes in academic quality survey data collection services utilizing mail, internet and telephone protocols to access target audiences. No other survey organization in the country exceeds our combined level of quality and efficiency in this area. We leverage our technical expertise and proprietary software to improve survey implementation efficiency allowing us to reach millions of respondents annually collecting essential information surrounding many areas of social research. We believe in thoughtful approaches to data collection and survey implementation ensuring the highest quality data and meaningful tools for analysis and quality improvement efforts.
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