Skip to main content

Post 8: (Question 9) Contemporary Applications of Big Data in Business

Big Data as been an integral part of many companies beginning to beat their competition and vastly outperform them. In various industries there are new companies and seasoned competitors that use data based strategies to combat their competition with new innovations in their respective fields. This usage of big data can be seen in almost every sector of every industry whether it be the IT industry or even healthcare. 
In regard to healthcare, data scientists have been continuing to analyse the outcomes of pharmaceutical products and companies have become focused on discovering the risk and benefits that were absent during clinical trials. Big data has been vastly important in analysing the trials and has made the outcomes of future trials more predictable. Those who adopted this method early on have been using data that they have taken from sensors which were embedded in various products from industrial apparatus to kid's toys. This use of big data aids companies determine which products are actually being used in daily life and which are not, thus determining ways to create new services as well as development of future products.  

Comments

Popular posts from this blog

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 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. 

FutureLearn Week1: Post 2 of 3

The best example of environmental big data is that of weather forecasting, as discussed in the video on futurelearn. The use of drones to monitor and measure atmospheric pollutants is another form of environmental big data. This can all be used to reduce carbon footprint by making use of the data to reduce or introduce more efficient transport in areas with high levels of pollution.