The time taken to procure information is gradually becoming very critical in businesses for the extraction of values from various data sources, such as mobile devices, Web, automated sensory technologies, radio frequency identification (RFID), social networking Websites, and so on. The Big Data platform can help in achieving these requirements of organizations. With the rapid explosion of data across sectors, several analytics issues have emerged in this space in recent years. These issues can be efficiently dealt with by using big data analytics. This research service provides insights on the impact of Big Data implementation in various sectors. These are listed below: •Automotives and Transportation •Aerospace and Defence •Automation •Healthcare
In the automotive and transportation sector, the impact of big data has created a huge demand for cars which are supported by intelligent systems. These systems are expected to support the maintenance of the car and bridge communications between OEMs, service providers, and customers. These systems are expected to be intelligent enough to predict the lifetime and repair timeframe for individual parts with the help of cognitive systems. The development of machines with learning capabilities is expected to converge with big data to create perfect assembly lines run by automated robots. Big data can be leveraged by these machines through cloud robotics, allowing them access to a vast pool of data and helping them acquire autonomous decision making capabilities. The use of big data in the aerospace and defense industry is expected to help in the creation of predictive maintenance systems, which can scan through millions of parts and predict the wear and tear of machinery. In the defense sector, the solution is expected to bring in a multi-user interactive visualization system which enables army personnel to communicate across boundaries. The use of big data in the healthcare industry is expected to bring in complete analysis and history of gene mapping. With the use of sensors and continuous patient monitoring, millions of data can be generated which when subjected to analytics is expected to reveal key catalysts on genetic structures. These insights can help researchers cull diseases at the genetic level.
Why is Big Data Analytics Important Today in Different Sectors ?
In the A&T, A&D, Automation and Healthcare sectors, there is a greater need to adopt RFID, Web, sensory technologies and social networking and other new age technologies. Adoption of these technologies generates huge amounts of data which can be utilized to glean key insights that can help transform the industry landscape completely. The A&T, A&D, automation and healthcare industries cater to a larger end user base compared to predominantly B2B industries. These sectors also involve large machinery with extraordinary assembly, service and logistics systems. These industries generate humongous amounts of data across different verticals and all through their value chain. Big Data is expected to enable huge transformation in these key sectors, improving services and production, and in due course, help the development of new products and reduce losses through new service methodologies. ` In the following slides, the impact of big data in the A&T, A&D, Automation and Healthcare industry is profiled. The slides cover a simple timeline following the changes affecting Big Data implementation in each of these industries and explaining in detail some of the major areas where big data is poised to have a big impact.
Table Of Contents
Data-led Innovations Transforming Key Sectors (Technical Insights)Â : Big Data Unravels The Potential of Unused Data in Key Sectors Executive Summary Key Insights Why is Big Data Analytics Important Today in Different Sectors Impact of Big Data on the Automotive and Transportation Sector Impact of Big Data on the Aerospace and Defence Sector Impact of Big Data on the Automation Industry Impact of Big Data on the Healthcare Industry Conclusion Key Contacts The Frost and Sullivan Story