Big data analytics is a complex process of examination of huge data sets and extracting the relevant information to be used. Various tools available for big data analytics uncover the hidden patterns and co-relation among different data sets.
Automotive industry has developed over time and customers expect more from automakers. In order to keep up with the expectations of the customers, automakers have to collect more data and analyze it to make necessary changes. Data analytics has been contributing towards various positive changes in automobiles. Many sensors are being used in automobiles that provide data related to fuel consumption, security, speed and emissions. The data analytics help in improving the quality of automobiles and mitigate the risk of product recalls. Big data is also contributing significantly in developing high-tech machines and improving performance. Huge data is collected in racing. The data is then cleaned and formatted to carry out analysis process.
Project Objectives
1. The dissertation will focus on data analytics and big data techniques being used to collect and analyze data in automotive industry. The use of data and analysis in industry will be assessed to check how effective the current practices are.
2. provide rationale insight of literature review ( A critical reflection from the literature review and identify key questions to drive your work).
3. Challenges faced in Big data implementation
4. Business games used and its business analysis like what was the main decision, analysis of your team work
5. Focus on Team-based decision-making strategies for achieving industry’s good will.
6. Future perspectives will also be checked and the new techniques that may be useful in big data and automotive industry will be analyzed. Various big data analysis tools and their features will be discussed in the dissertation.
7.Overall, it should be creative business analysis of everything in the dissertation