Data gap analysis is a process of identifying the discrepancies between the desired state of data and the current state of data in an organization. It involves assessing the data quality, accuracy, completeness, and consistency of the existing data sources. The purpose of data gap analysis is to identify gaps in the data and provide insights into how data can be improved to meet organizational needs. This analysis is important for identifying areas where data is missing or inadequate, which can lead to ineffective decision-making and operational inefficiencies. By identifying and addressing data gaps, organizations can improve their data quality and accuracy, which can lead to better decision-making and more efficient operations. Each slide is carefully crafted to convey important information in a concise and clear manner.
