How will Big Data reshape 2017?
Big Data has transformed many areas of modern life and the way organisations work together. Major developments were made in 2016 and organisations are starting to use Big Data to revolutionise the way in which data is governed and analysed. In 2017, we predict that even traditional and conservative organisations will start to take the plunge into the world of Big Data.
This is how Big Data will evolve in the upcoming year.
1. Movement to the cloud.
An increasing number of companies and enterprises are using strategies where their data is being moved to the cloud. This comes at an advantage for companies because it allows them to be more flexible and data can be accessed from anywhere. This is particularly advantageous for businesses which are located across different regions. It’s also more cost effective than acquiring large warehouses which can be a drain on resources requiring the space, maintenance and a high budget. The responsibility for cloud storage is shifted to the service provider, therefore making it more practical.
2. Deep Learning and Artificial Intelligence.
2017 will see more advanced technological processes with the use of deep learning and artificial intelligence. More organisations will adopt these types of processes which are predicted to increase the number of connected devices from 10 billion to 34 billion by 2020 according to LinkedIn’s Director of Advertisements.
3. Tighter data security permissions.
National organisations use Big Data for law enforcement purposes. With high volumes of classified information, there are dangers that the data could be breached. This is one of the biggest challenges for Big Data because it is a relatively new concept. However, in the future we will be able to implement tighter security measures which include tighter policy controls. This means creating policies which allow authorised users access to the data. Vetting cloud providers is essential to protect data if you are storing your information in the cloud then you must ensure that your provider has sophisticated encryption so sensitive information is not leaked.
4. Real time data streaming.
This will improve a firm’s ability to react to the changing business conditions because data will be processed more quickly, for example when detecting fraud. Using traditional methods of collecting and analysing data will simply not work in the future. The time taken to analyse the information would take too long, meaning by the time the issue has been identified, it could be too late. Real time data streaming along with using machine learning algorithms can quickly spot suspicious patterns which will aid companies to rectify any problems.
Big Data has transformed the healthcare industry by predicting epidemics and curing diseases. Many decisions which involve treatments o f patients are changing rapidly and its Big Data that is driving this change. We’ve already seen the first signs with the increasing popularity of wearable’s such as FitBits which tracks an individual’s progress and the data then can be uploaded online. In the future, you will be able to share this information with your doctors who can use this information to help with diagnosis. Having access to copious amounts of information on the data base will allow illnesses to be detected more quickly and treatments can be prepared well in advance.
Big data has been very disruptive and has expanded opportunities for organisations to excel even further and penetrate markets that were previously untouched. 2017 will open doors to more innovative ideas, techniques and growth which will only add business value to firms.