What are the effects of data inconsistency on business operations?
Data inconsistency can lead to poor decision-making, operational inefficiencies, and loss of customer trust.
Can you give me some examples of how this might happen?
Sure! For instance, if sales data is inconsistent across departments, it can result in overstocking or stockouts.
How can businesses prevent data inconsistency?
Implementing data governance policies, regular audits, and using integrated software solutions can help prevent inconsistencies.
What tools are available to help with data consistency?
There are several tools like data quality management software, ETL tools, and CRM systems that can help maintain data consistency.
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