What is one major aspect of challenges in data quality?

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One major aspect of challenges in data quality is technological limitations. Technology plays a crucial role in how data is collected, processed, and stored. Certain technological infrastructures might not be equipped to handle large volumes of data accurately, leading to errors in data entry or processing. Additionally, outdated systems can struggle with integration, making it difficult to ensure consistent and reliable data. These limitations can hinder organizations' ability to capture high-quality data and make informed decisions based on that data.

The other aspects, such as lack of user interaction, increased user input, and excess data generation, can impact data quality but are often secondary to the foundational role that technology plays. Without the right technological tools and systems in place, even increased user input or efforts to manage excess data generation may not resolve underlying data quality issues. Hence, focusing on technological limitations highlights a critical area that organizations need to address to improve overall data quality.

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