Mathematic

Big Data Analytics (BDA) has been used for harnessing information into knowledge and transformed into economic value that gives impacts to the company and society achievement. The success of BDA does not merely depend on the quality of data, but also on the performance of the system. The BDA system produces the knowledge and the insights that businesses need. Measuring the performance of a BDA system could have enormous benefits in terms of better outcomes, satisfied customers, and produces the knowledge and insights on the business's needs. Nowadays, the efforts to improve and optimize on measuring the performance of the BDA process are getting more attention. It is important to evaluate the performance of the BDA and determine the factors that affect the BDA quality. The challenges are measuring the performance of the BDA system. Therefore, deciding the measurements are crucial to enlighten the performance measurement for BDA. This book is aimed for the reader to understand related to the BDA process and performance measures on measuring its performance. The contribution of this book is considered from both theoretical and practical perspectives. The primary theoretical contribution related to the BDA process performance measurement. The performance measures, metrics and performance-contributing factors being elaborated in this book will be invaluable contributions strengthened by the applied knowledge within the industry.