Big Data
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Big data refers to the massive amounts of data now available due to greater collection and storage capabilities. There are three shifts that have occurred with big data: 1) the end of sampling as all available data is used, 2) the end of exactitude as prediction and correlation are used instead of causation, and 3) the end of causality as prediction relies more on correlation than mechanisms of causation. Big data will transform society, business, government, and individuals as data becomes a resource that can be used for predictive analysis but also raises issues around data privacy and the balance between free will and data-driven decisions.
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Big Data
- 1. Source: kirainet BIG DATA Peter Parycek Zentrum für E-Governance, Donau-Universität Krems
- 2. Big Data?
- 8. Shift one: End of Samples Source: Big Data,V. Mayer-Schonberger, K. Cukier
- 9. Shift two: End of Exactitude Source: Big Data,V. Mayer-Schonberger, K. Cukier
- 10. Shift three: End of Causality Source: Big Data,V. Mayer-Schonberger, K. Cukier
- 13. Frame: Data the ultimate renewable resource! Business, markets and society will change HBR-Blog, Big Data Is Not the New Oil,J. Thorp, http://goo.gl/5BCyN
- 14. Society Data Business Data Gov Data My Data
- 15. Impact: Datafication predictive analysis
- 16. Impact: free will VS. data dictatorship
- 17. Big Data: A Revolution That Will Transform How We Live, Work and Think Viktor Mayer-Schönberger Kenneth Cukier
- 18. Dr. Peter Parycek, MSc Donau-Universität Krems Zentrum für E-Governance +43 2732 893-2312