Data Quality Improvement Strategies for Data Analysis Specific to the IT Industry

Abstract

In the ever-evolving landscape of the IT industry, data acts as the foundational element driving decisions, strategies, and innovations. The quality of data significantly influences the operational efficiency, decision-making accuracy, customer satisfaction, and overall success of IT initiatives. Poor data quality leads to erroneous insights, and ineffective strategies, and could potentially cost companies millions, making data quality improvement not just an option but a critical necessity. This paper explores the multifaceted importance of maintaining high data quality in the IT industry and outlines various strategies for improvement. It talks about big-picture methods, including sorting out data, keeping it up-to-date, using technology to improve accuracy and trustworthiness, and ensuring timeliness. This article explains methods IT specialties and groups should use to check and fix their data quality. These steps will help keep the information accurate and valuable for better results in the future.