Integration of real-time analysis of big data into sustainability attributes

Abstract

The use real-time analysis of big data necessitates auditors modify their evidence-gathering procedures of employing continuous auditing in assuring sustainability attributes. We suggest a model that integrates assurance and its continuous auditing into all five economic, governance, social, ethical and environmental (EGSEE) dimensions of sustainability performance reporting. Real-time analysis of big data facilitates more transparent and timely available information for auditors to perform procedures provide reasonable assurance on accuracy, consistency and completeness of information. Big Data is often referred to as electronic data and is the capability of accessing, analysing, and assessing a huge amount of data and transforming them into information in a timely manner for decision making. The application of Big Data and Data Science Analytics to auditing is currently at an early stage. This study examines the real-time analysis of big data, which including evidence-gathering procedures and tests on audit and assurance services for sustainability attributes. We provide policy, practical and educational implications of employing real-time analysis of big data for sustainability performance as the implementation of continues auditing.

Publication Title

CEUR Workshop Proceedings

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