Big Data Blog

As well as having a lot of benefits, there are also downsides to big data, limiting the harmful factors of big data is crucial to the future of big data and safety of everyone involved. There are groups responsible for monitoring and improving the safe use of big data and to make sure no ethical dilemmas are overlooked. Such groups as the Council for Big Data, Ethics and Society, this group collaborates with the National Science Foundation to provide critical social and cultural perspectives on big data, they do this through public commentary and events. https://bdes.datasociety.net/ http://theconversation.com/six-ways-and-counting-that-big-data-systems-are-harming-society-88660

Big data can be extremely helpful when used correctly and to its full potential, however with the potential for so much good there is also a lot of potential for misuse. For example some credit card companies, based on where a person lives, will give that person a lower credit card rating. This is completely beyond the control of the person, they are living in an area where some people have a lower repayment history, as such they find that their own credit card rating will be lowered. This isn't a fair method as that person having their credit rating lowered may have an excellent repayment rate and is being adversely affected due to the inaccuracy of the data being collected.  http://theconversation.com/six-ways-and-counting-that-big-data-systems-are-harming-society-88660

It may not seem like it at first glance but big data affects our lives every single day in a number of different ways, these include travel, leisure, social media and shopping. For example when there is a traffic incident or roadworks, your phone / gps device will get this information and provide you with information on a quicker route or inform you that your journey will be delayed. When looking for a new programme to watch on Netflix, you will be given suggestions based on programmes others have watched who have also watched the same programmes as you. When shopping online, anything you may have searched for recently, or in the past will be targeted towards you with advertising because they have the information that you have been searching for it recently. All of these are ways in which an individual will be affected by big data. https://channels.theinnovationenterprise.com/articles/big-data-for-individuals

Predictive analysis can be useful at times, however there can be negative points for it also. A fairly recent example of it would be when during the presidential election, Donald Trump only had a 15 - 30 percent chance of being elected president and look at what happened there. The source that claimed only a 15 - 30 percent chance was from the polls, which is where the problem occurs, this is one of several inaccurate sources of information for such an event. These type of inaccurate information sources are the problem with predictive analytics, another example of inaccurate information which cannot be wholly trusted are surveys. Not everyone will answer a survey truthfully, be it lying or maybe being self conscious, using information from surveys such as this will be taking and using false, or inaccurate data and can do more harm than good in conjunction with big data. These are just a few of the different types of discrepancies you can find when using predictive analytics. https:...

As is evidenced by the name "Big Data" there is a large amount of data that needs to be stored, processed and analysed, this is the main problem with big data that companies will have to contend with. Most companies that are using big data will already have storage for this data, however bigger companies will use more advanced forms of storage such as hyperscale computing environments. As with the storage, you similarly need the processing power capable of handling all this data in a timely fashion, it wouldn't be financially feasible for processing to take several hours or days to complete. After the data has been processed, the data will then have to be analysed so that anything of use from the massive amounts of data that has been sifted through can actually be used for beneficial use of the company. On top of being able to store, process and analyse this data, it has to be secure, companies will have to invest in some kind of security software to keep large amounts of...

The more time goes on, the more data will be generated and the more advanced our software will need to be for processing big data. As such one of the more important aspects going forward into the future will be to improve our machine learning. We will need machines and programs capable of handling large amounts of data more and more quickly to cater for the large amounts of data we are generating. Being able to process and handle big data more effectively will make everything relating to big data more streamlined and provide more accurate results in the future. https://www.smartdatacollective.com/future-big-data-predictions/ https://www.itproportal.com/features/big-data-changing-the-future-of-business-models/

Big data is used constantly throughout the day to make decisions which will affect our society, some of these include using big data to regulate prices of products, suggesting friends for social media that you may know, news articles you may be interested in, data which can improve the government and many more. As stated before, Facebook will produce a staggering amount of data in a normal day, this data can be used to establish who is around you, who you are not yet friends with, who shares your interests and who you are most likely to friend based on these, and most likely many, many more details. Another way in which big data can affect society would be traffic routes, there are increasingly more and more cars on the road and most if not every car will have a smart phone in it tracking their location. Google maps will be able to tell you the quickest route most of the time and it does this by using the data collected through the millions of users using the app. These are just a few ...

There are many ways in which big data can help improve science. Science nowadays is more about analysing large data sets than working on an experiment in isolation. The more data that scientists have access to the more results they can get from their work. For example, one area where big data can help out scientists is mapping geographic data. There is a lot of data generated by cartography and geographic surveying, which is hard to read and make sense of generally, this data can be transformed into easy to read maps and images which will help people understand the data more easily. https://www.environmentalscience.org/data-science-big-data

There are thousands of ways in which a business can use big data. These methods can include using big data in order to monitor trends in their business category which will give them an edge over other businesses in the same field. Another use of big data in businesses is the use of social media big data to target specific customers with their products because their social media presence will indicate that they will indeed buy the product the business wants to sell them. One other example of businesses using big data is the amount of number crunching they can go through to get figures and percentages from previous years to possibly increase or decrease production in their companies at peaks times during the year, saving, or making money respectively.