Checklist for Identifying Data Extraction Issues

This document is a checklist designed to identify potential issues in data extraction processes for IT projects. It outlines ten warning signs that may indicate flaws in the data extraction process, including unclear ownership, inconsistent or missing data, overlooked unstructured data, proprietary format challenges, undefined data transfer methods, lack of a validation strategy, conflicting data sources, rushed timelines, ignored data standards, and duplicate or misidentified records. Each warning sign includes specific indicators that stakeholders can check to assess risk levels. The checklist concludes with a risk assessment section that categorizes the total number of issues identified, providing guidance on monitoring areas closely, the need for an immediate action plan, or the requirement for expert intervention based on the number of issues found. This structured approach aims to help project stakeholders ensure a smoother data extraction process and mitigate potential risks.