How to improve data quality to empower business decision-making process and business strategy agility in the AI age

Abstract

Machine learning (ML) and predictive analytics (PA) can provide invaluable assistance for forecasting trends and informing decision-making using data. Considering the business strategy agility as a quick response to market dynamics, this article presents solutions to enhance data quality and management, model interpretation ability, and availability using Explainable AI, with cloud computing and distributed systems that can address scaling problems. When companies utilize these technologies wisely, they can gain an edge, achieve sustainable growth, and make informed decisions. We show how ML and PA can enhance decision-making and business strategy. We also remind that there are antecedents to data quality management: Data culture and Leadership, preparing the company to benefit from the information business strategy agility.