Makes it incredibly difficult to obtain a cohesive view of critical information. This leads to increased time spent searching for and reconciling data.
Inaccurate insights and unreliable decision-making. Can lead to costly errors, misinformed decisions, and diminished confidence in data-driven processes.
Inconsistencies and difficulties in aggregating and analyzing information, making it challenging to derive accurate insights.
Crucial for improving data accessibility and efficiency. A well-organized data structure enhances data integrity and usability.
Ensures that information is accurate, reliable and consistent. High data integrity reduces the risk of errors and discrepancies, leading to more effective and efficient operations.