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Routine data quality assurance tasks (e.g., manual data cleansing) that require too much effort.
Lack of a single customer/business/vendor view.
No reliable reporting due to disjointed data source systems.
Data mess accompanying a merger or an acquisition.
Data management solution’s architecture issues.