Big Data-Driven Automation: Unlocking New Frontiers in Operational Innovation

Abstract

Big data based automation of operation spaces transforms them into a revolution of both its efficiency and innovation. Organizations generate huge amounts of data and usage of such data through automated systems is necessary to maintain the competitive advantage. This research studies the impact of the technology in automated organization making the organization to increase the operational performance, reduce costs and promptly make management decisions. Such integration of advanced analytics alongside artificial intelligence and machine learning technology helps the businesses to automate the complicated operations and get higher accuracy alongside lower occurrence of human mistakes. Combining big data analysis and automation creates a point at which businesses gain immediate operational awareness to act on any marketplace transformations or process difficulties. Then, this paper shews the advantages and make successful deployments on multiple case studies in different sectors operational. It has also improved manufacturing operations, healthcare and financial systems and logistics management by means of automated analysis platforms. After these organizations implement these technologies, they face several challenges as they have to solve data privacy risks, spend considerable sums to implement the systems and require qualified workers. To reap the benefits of a big data driven, automated system, leaders should partner strategic planning with use of resources for workforce training. Big data driven automation is an important operational innovation force in making organizations capable of handling complex sets with more efficiency and resilience. It is time for business success in today’s data driven markets that demand a data focused business culture and addition of superior automation technologies that help operate beyond the boundaries to create sustainable competitive advantage.