Role of Information and Technology in Data Science and Cloud Computing
Data analytics has been long used by businesses to give direction to their strategy in order to maximize profits. By tracking data, businesses can eliminate guesswork and instead systematically understand patterns and make informed decisions while implementing new strategies for either business operations, marketing or client acquisition, etc. Alongside analytics, Cloud Computing has also played a major role in making businesses more efficient and operate effectively.
The consolidation of Cloud and Data Science could help businesses store, process, interpret their big data to meet both business and client needs.
Cloud Computing
Cloud Computing includes a series of hardware and software that can be remotely accessed and the files and software are usually shared by multiple users. So, rather than being on a user’s hard disk, the files reside on the remote storage.
Data Science
Data science essentially entails the study of where the data originates from and what it speaks to and how this data can be analyzed into a significant asset to operations and business as a whole. Mining a lot of structured and unstructured data is essential to establish associations that will ultimately enable businesses to either work more efficiently, productively or to control costs or perceive a new market, etc.
How do the two technologies work together?
Data science and cloud computing go hand in hand and the two technology implementations will complement each other for better performance and value. With the rapid growth of big data, Data Science has become an inevitable part of businesses that desire to derive value from their existing processes and pave a path for continuous learning and improvement within their processes and organization as a whole. Cloud Computing & Data Science together help businesses stay on top of their game and get better by the day.
