Final answer:
In rectifying the error-prone database, considerations include the impact on operations, root causes, potential solutions, and costs. This involves information gathering from stakeholders, expert consultation, and a root cause analysis to address and prevent further issues.
Step-by-step explanation:
In taking an organizational perspective on rectifying a database riddled with errors from manual input of customer names and addresses, one would consider the impact of the errors on the organization's operations, the root causes of the errors, potential solutions to fix the errors, and the cost of rectifying the errors. This would likely involve gathering information from customers and other stakeholders, finding expert information to better understand best practices in data entry and management, and doing a root cause analysis to determine the systemic issues that are leading to these errors. This might result in recognizing the need for better training, improved data entry protocols, or the implementation of more sophisticated data validation tools.
For example, if the root cause analysis reveals that employees are not following standard data entry procedures due to lack of training, the organization can introduce comprehensive training programs. If it's determined the interface is not user-friendly, leading to frequent mistakes, a redesign of the interface might be necessary. Lastly, if there is simply too much manual work leading to human error, the implementation of automated data capturing and validation tools could be a viable solution to improve accuracy and efficiency.