# data[].attributes.body
The pattern and conclusion draw from data could be subjective because the result is decided by the people who process it, so the nature of the result will be subjected to that person's understanding of the data and academic background

# data[].attributes.body
The existence of big data change the way how generate new knowledge

# data[].attributes.body
The existing gap between the data people need and the data people can access hinder some companies' development. Also incomplete data could result in poor decision-making quality.

# data[].attributes.body
They all pose the potential threat due to a higher volume of data, including:
1. Data accident
2. People don't have enough mental capacities to deal with that much complex data
3. The results got from big data could be unreliable

# data[].attributes.body
1. The ability to generate patterns from data fails to connect with the capability to apply results to business issues

2. Company rely heavily on data to make decision although they don't understand the method of processing data

3. Problem in how to extract valuable information an idea from the analytical results and make appropriate decisions

4. The demand of data exceeds the supply results in inaccurate decisions making.

# data[].attributes.body
1. Data has changed to a bigger volume could cause accidents regarding safety

2. Lower cost of storing data and higher availability of spreading data promote the innovation of big data

3. Posing threat to companies:
a. Losing control of the data from company to the computing cloud
b. Complexity in collecting and storing data that involve several firms
c. Absent awareness of risk by sharing data within different companies

4. Data accident is difficult to identify since it's free of limitation no matter geographically located or specific, and the consequences are unpredictable if accident happening.

# data[].attributes.body
1.Big data security and privacy in healthcare

2. Big data help healthcare industry develop

3. The complex information and valuable, private info in healthcare industry trigger a safe guard for the data

4. Data breach

# data[].attributes.body
1. Reframe how we gain and summarize knowledge

2. Subjective pattern and conclusion from data

3. A reliable consequence could not be guarantee thanks to the complexity of data

4. Ethic issue when collecting data

5. Existing gap when collecting data

# data[].attributes.body
1. Decision making by big data could be influenced by several factors:
a. the nature of the data
b. fail to have comprehensive understanding of the data for data handlers

2. Higher volume and more complex data fail to be understood by human because they're limiting by their current mental capacities

# data[].attributes.body
1.Price discrimination

2. People don't know they are being discriminated

# data[].attributes.body
1. Extracting and analyzing big data from internet could help identify mental health issue

2. Use data to evaluate the mental condition for the public after happening traumatic events

3. People tend to imitate behavior from other people in the internet so they can be assess their mental disorder
(I think this actually indicate the reason why big data will be successful)

4. Data also can be biased

# data[].attributes.body
1. Companies benefit from big data

2. Big data: volume, velocity, variety, veracity and value

3. Big data cause transition in scientific method that use big data to establish new theory

4. Big data could promote making an evidence-based decision, instead of intuition

5. New theory coming out because they stand on a ignorant view and don't biased by existing knowledge

# data[].attributes.body
Prentice, P., Ransbotham, S., &Kiron, D. (2015, April 1). Minding the Analytics Gap. 
MIT Sloan Management Review, 56(3), 63-68.

# data[].attributes.body
Nunan, D., & Di Domenico, M. (2017). Big Data: A Normal Accident Waiting to Happen? Journal of Business Ethics, 145(3), 481-491.

# data[].attributes.body
Kupwade Patil, H., & Seshadri, R. (2014). Big Data Security and Privacy Issues in	Healthcare. Big Data (BigData Congress), 2014 IEEE International 
Congress on, 762-765.

# data[].attributes.body
Janssen, M., Van der Voort, H., & Wahyudi, A. (2017, January). Factors influencing big data decision-making quality. Journal of Business Research, 70, 338-345. https://doi.org/10.1016/j.jbusres.2016.08.007

# data[].attributes.body
Howe, N. (2017, November 17). A special price just for you. Retrieved from Forbes website:
https://www.forbes.com/sites/neilhowe/2017/11/17/a-special-price-just-for-you

# data[].attributes.body
Gruebner, O., Sykora, M., Lowe, S., Shankardass, K., Galea, S., &Subramanian, S. (2017, 	September). Big data opportunities for social behavioral and mental health research. 
	Social Science & Medicine, 189, 167-169. 	https://doi.org/10.1016/j.socscimed.2017.07.018

# data[].attributes.body
Erevelles, S., Fukawa, N., Swayne, L. (2016, February). Big Data consumer analytics and the transformation of marketing. Journal of Business Research, 69(2), 897-904. https://doi.org/10.1016/j.jbusres.2015.07.001

# data[].attributes.body
Danah, B., Kate, C. (2012). Critical Questions for Big Data. Information, Communication &Society, 15(5), 662-679. https://dor.org/10.1080/1369118X.2012.678878

# data[].attributes.body
Drawbacks

# data[].attributes.body
Benefits

# data[].attributes.body
Do big data bring benefits or disadvantages for contemporary society?