Matthew Young's Big Data

One tool available to visualise structured and unstructured data is QlikView, a software program developed by Qlik which allows multiple users at one time to interact with data sets in a clear and easy to understand format. Users can update the visually processed data on the go which is often utilised in large group projects where data is constantly being added and stored to analyse. Another tool available to visualise structured and unstructured data is Tableau. This platform allows users across various different industries to easily create graphics and visual diagrams to simplify and understand data whether it’s organised and processed or remains unstructured. References : https://www.toptal.com/designers/data-visualization/data-visualization-tools#:~:text=The%20best%20data%20visualization%20tools%20include%20Google%20Charts%2C%20Tableau%2C%20Grafana,can%20handle%20large%20data%20sets.

One tool used to mine data is Rapid Miner, a popular software program that provides users with the capability to mine large data sets while offering a platform to carefully analyse and prepare that data. It can be useful for creating models of data and sharing them with other users of the software online to gain feedback and advice on how best to visualise the data collected and processed. Another tool available to use to mine data is Oracle Data Mining. Like most Oracle software, it is often used by large tech companies to better predict patterns in large data sets and visualise them clearly. It also allows for a variety of customisations to be made to user profiles and the way that the data is processed, meaning companies can accurately define their objectives and target customers. References : https://www.analyticsinsight.net/the-top-10-data-mining-tools-of-2018/

If a business or organisation finds itself trailing while competing with other rival businesses, big data analysis is often used to gain an insight into the users or customers of that business in order to better understand their desires and then make more informed and smarter business choices to benefit the company and its users. Users will then tend to gravitate towards services and companies that are best suited to their needs resulting in benefits for both parties.   Big data analysis also allows large businesses and organisations to notice trends or patterns that are hard to identify without processing all the data together and comparing data sets. In various industries these patterns and trends are used to predict or prevent large scale events that could drastically affect the industry, and so big data analysis has proven very useful for certain sectors. Resources :  https://www.simplilearn.com/what-is-big-data-analytics-article#:~:text=Big%20Data%20analytics%20is%20a,fra...

 To limit the negative effects of big data, like data breaches and invasions of privacy, I believe more measures have to be taken in order to ensure users of applications that collect personal data are 100% protected when they allow their data to be utilised. This could include ensuring each account created by the user has two factor authentication, which would lower the risk of hackers accessing personal information when a company’s data is leaked. I also believe the punishment for companies who leak data, even if accidental, should be more severe to force large companies and organisations to be more cautious when dealing with personal user data. References: https://bigdatarachel.wordpress.com/category/17-strategies-for-limiting-the-negative-effects-of-big-data/

An advantage of big data for society is that it has driven a variety of aspects of society to be more efficient and advanced, including transport, health care and national security. Improvements have been made through the analysis of data collected regarding transport routes that are used in large cities to provide more services for busier routes and a better quality of transportation. Health care has significantly improved through data processed by health service officials to better understand and identify health concerns or issues and then treat those issues more appropriately. Lastly, national security has improved through the analysis of data related to crime and terrorism statistics where patterns and trends help prevent attacks in major cities. A disadvantage of big data for society is that it has allowed companies to gain a greater insight into the personal lives of anyone who uses services or applications on the web or other networks, which could lead to a lack (or invasion) of...

One advantage of big data for the individual is that services and facilities the individual uses are now far more tailored to their personal interests and needs. This makes application user experiences more enjoyable and often allows for easier navigation of websites and software. Another advantage of big data for the individual is improvements in the quality of health and fitness statistics. Organisations who provide products to track personal health and fitness data have access to millions of users data allowing them to refine that data in order to best benefit the individual compared to others. A disadvantage of big data for the individual is the risk of data breaches and personal data being leaked. Due to the vast amount of users that large organisations collect data from, the volume of data required to be processed can be immense. This makes data breaches pretty common amongst social media companies like LinkedIn and MySpace, and e-commerce corporations like eBay. One of the worst...