Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
1997 In his inaugural lecture for the H. C. Carver Chair in Statistics at the University of Michigan, Professor C. F. Jeff Wu (currently at the Georgia Institute of Technology), calls for statistics to be renamed data science and statisticians to be renamed data scientists.
1997 The journal Data Mining and Knowledge Discovery is launched; the reversal of the order of the two terms in its title reflecting the ascendance of “data mining” as the more popular way to designate “extracting information from large databases.”
December 1999 Jacob Zahavi is quoted in “Mining Data for Nuggets of Knowledge” in Knowledge@Wharton: "Conventional statistical methods work well with small data sets.
2001 William S. Cleveland publishes "Data Science: An Action Plan for Expanding the Technical Areas of the Field of Statistics." It is a plan “to enlarge the major areas of technical work of the field of statistics.
2001 Leo Breiman publishes “Statistical Modeling: The Two Cultures” (PDF): “There are two cultures in the use of statistical modeling to reach conclusions from data.
The key points of this system are that it was "automated", "scalable" and "high performance". A white paper on MapReduce in 2004 greatly inspired engineers, pulling in an influx of talent to the challenge of handling big data.
90% of the available data has been created in the last two years and the term Big Data has been around 2005, when it was launched by O’Reilly Media in 2005.
June 2009 Nathan Yau writes in “Rise of the Data Scientist”: “As we've all read by now, Google's chief economist Hal Varian commented in January that the next sexy job in the next 10 years would be statisticians.
In 2009 the Indian government decides to take an iris scan, fingerprint and photograph of all of tis 1.2 billion inhabitants.
In 2009, two of the center’s researchers, Yangyong Zhu and Yun Xiong, publish “Introduction to Dataology and Data Science,” in which they state “Different from natural science and social science, Dataology and Data Science takes data in cyberspace as its research object.
September 2011 Harlan Harris writes in “Data Science, Moore’s Law, and Moneyball” : “’Data Science’ is defined as what ‘Data Scientists’ do.
As Thomas Davenport and D.J. Patil wrote in an article titled "Data Scientist: The Sexiest Job of the 21st Century" in 2012, data analysis is getting a lot of attention nowadays.
Rate how well Data Concepts lives up to its initial vision.
Do you work at Data Concepts?
Does Data Concepts communicate its history to new hires?
| Company name | Founded date | Revenue | Employee size | Job openings |
|---|---|---|---|---|
| Cnsi | 1994 | $300.0M | 400 | 4 |
| STChealth | 1988 | $1.3M | 20 | - |
| Fusion Technology | 2007 | $8.5M | 180 | 17 |
| Elemica | 2000 | $37.5M | 130 | 2 |
| InfoVision | 1995 | $440.0M | 1,214 | 36 |
| V-Soft Consulting | 1997 | $120.1M | 190 | - |
| Orion Systems Integrators | 1993 | $110.0M | 500 | - |
| Informatica | 1993 | $1.6B | 5,249 | 5 |
| Turnberry Solutions | 2001 | $10.7M | 20 | - |
| American HealthTech | 1995 | $17.7M | 100 | - |
Zippia gives an in-depth look into the details of Data Concepts, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Data Concepts. The employee data is based on information from people who have self-reported their past or current employments at Data Concepts. 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 Data Concepts. The data presented on this page does not represent the view of Data Concepts and its employees or that of Zippia.
Data Concepts may also be known as or be related to Data Concepts and Data Concepts, LLC.