What is a common result of legacy practices and issues in data systems over time?

The correct choice identifies "data debt" as a common result of legacy practices and issues in data systems over time. Data debt refers to the accumulation of suboptimal practices, inefficient systems, and outdated technologies that have developed as organizations evolve and expand their data strategies.

As organizations implement new tools and methodologies without fully addressing or integrating older systems, they may create inconsistencies, redundancies, and barriers to effective data use. This phenomenon mirrors the concept of technical debt in software development, where shortcuts taken in coding can lead to increased maintenance effort later.

Over time, these legacy issues can hinder an organization's ability to leverage its data effectively, ultimately impacting decision-making and operational efficiency. Hence, recognizing data debt is crucial for organizations looking to modernize their data practices and improve overall data governance and quality.