Graduate Program,
*Author correspondence: Fola Michael Ayokanmbi, Graduate Program,
The application of the technologies of industry 4.0 plays a critical role in developing a fact-based and data-driven culture to achieve performance excellence. A vast amount of data is generated through digital devices, such asmobile phones, social networks, desktop and laptop computers, and wearable devices. The management, effective use, analysis, and improvement of these data to support strategic processes are critical for performance improvement. Data constitute raw facts that are processed to produce insights and knowledge that are used to guide decision-making. A data-driven decision support system for organizational performance improvement requires a large amount of data and a technique to extract knowledge from data. Digital transformation is necessary to improve processes and operations and harness the benefits of integrating data science into organizational workflows. Big Data Analytics (BDA) provides the mechanism for extracting value from big data to improve decision-making quality. This paper discusses the impact of big data and advanced analytical techniques on the quality of decision-making and improving organizational performance to achieve performance excellence. The ability to leverage big data analytics capabilities with organizational resources and capabilities will ensure the achievement of performance excellence. An effective technique for extracting knowledge and meaningful insights from big data can enhance strategic decision-making to achieve performance excellence and competitive advantage.
Big Data, Data Science, Decision-Making, Performance Excellence, Performance Improvement