Skip to main content

Post 10: (Question 11)

Part A

Dr. Charles W. Stryker covered a high number of points within his TedTalk, the main points that he made were that big data encompasses everything. He compared the job hunting of people today versus the job hunting of those who would look for a job before 1993, he discussed the same comparison when it came to people searching for relationships, how people communicate and stay in touch with friends as well as investments and business.

Big data is now usable by analysing the data as it comes in. The medical industry is using data for cancer to track cases, Dr. Stryker stated that the best oncologist in the United States tracks roughly 6-8 cases and that if they request data they can easily find better care for their patients 85% of the time based solely on data analytics.
Big data will soon be able to track the food that people consume over the course of years and through big data a diabetes drug was prescribed by a doctor who noticed a correlation between his patients on this diabetes drug doing better with their cancer over those without this diabetic medication. The doctor began prescribing this medication to other patients and discovered that it significantly aided the patients. This would not have been discovered had he not analysed the data of many other patients. The same could apply to patents suffering from negative effects of drugs if they are suffering from an illness. 


Part B

In today's society mobile internet and mobile applications are a necessity to many individuals, big data has been a major factor in the growth of the app industry and more and more companies are investing in application development and the app industry is making use of the data of users of mobile users to create and develop applications that users desire based on the data collected. By utilising big data mobile app development companies are able to analyse their users data and make their applications align with the users needs based on their usage and behaviour to ensure they stay hooked to the application. This form of application development will only increase over time as more and more people use applications and developers see what the users need or want from their applications and they will add features where and when possible to meet these needs. 


Comments

Post a Comment

Popular posts from this blog

Post 11: (Question 7) Limitations of traditional data analysis

As with all things there will always come limitations to data analysis due to the fact that it is created by humans and is subsequently subject to human error. Some of the limitations that you may come across would be that the data may be incomplete, whether it be missing values, or lack of a section of necessary data. This could severely limit the data's usability. Survey data can also be scrutinised due to the human component. People do not always provide accurate information through surveys and many are likely to not answer truthfully. For example if a person were asked how much alcohol they consume within a week they are likely to say less than their actual intake. 
Post a Comment
Read more

FutureLearn Week 2: Post 1 of 4

Open data has been increasing for some time now with data being made open on various sites globally. There are many advantages to having open data, these advantages include being able to share public data sets so that they can be compared. These open data sources can also be used for environmental purposes or even health issues. Disadvantages of open data would include the fact that the site providing the data would be inherently biased and formed in the opinion of the creator.
Post a Comment
Read more

Post #2: History of Big Data

Big Data has been described by some Data Management pundits (with a bit of a snicker) as “huge, overwhelming, and uncontrollable amounts of information.” In 1663, John Graunt dealt with “overwhelming amounts of information” as well, while he studied the bubonic plague, which was currently ravaging Europe. Graunt used statistics and is credited with being the first person to use statistical data analysis. In the early 1800's, the field of statistics expanded to include collecting and analysing data. The evolution of Big Data includes a number of preliminary steps for its foundation, and while looking back to 1663 isn’t necessary for the growth of data volumes today, the point remains that “Big Data” is a relative term depending on who is discussing it. Big Data to Amazon or Google is very different than Big Data to a medium-sized insurance organisation, but no less “Big” in the minds of those contending with it. Such foundational steps to the modern conception of...
Post a Comment
Read more