Image for dataclash

dataclash

Data clash occurs when multiple datasets or sources contain conflicting information about the same subject. This inconsistency can lead to confusion, errors, or incorrect conclusions, especially in data analysis or decision-making processes. Identifying and resolving data clashes involves comparing the differing data points, determining which source is more accurate or reliable, and updating records to ensure consistency. Effective data management practices and validation help minimize these conflicts, enabling organizations to maintain accurate, trustworthy data for analysis, reporting, and strategic planning.