The Importance Of A Data Quality Manager In An Organization

Data quality requirements are extremely important for each and every organization to sustain its development in this dynamic and every changing world of business. Quality assurance is one aspect that helps build confidence with the business management team and ensures that all data quality requirements are met. Data and information are an organization’s critical asset and are just as valuable as any other kind of asset the organization has. It is for this reason that data quality manager is needed to deal with all the data quality management activities in an organization which ensures an all-time viability of data and information.


In the absence of an individual in this role, the various activities related to data quality management are not easy to control and this can be a detrimental factor to a business’s success in the highly competitive business world. Data is used for purposes of decision making, various processes and reporting in a company and hence the quality of data is essential to ensure smooth operations within an organization. A data quality manager is entitled to handle all tasks of ensuring smooth functioning of all the available data quality initiatives, data quality tools, data quality assessment tools and also data analysis tools within the organization. Here are some of the practices a data quality manager must perform so as to achieve high quality of data in a company.

Data Quality Manager – Performing a Data Quality Assessment

Performing a comprehensive analysis on the current state of an organization’s data is one of the tasks a data quality manager is entitled to. All inconsistencies, errors, missing fields and duplicates should all be identified and accounted for. Based on the kind of data quality assessment and analysis carried out, a data quality manager should device a data quality management strategy and come up with data governance policies. All these should be presented to the stakeholders for evaluation and implementation.

Integrate Business Intelligence With Data Management Solutions

A data quality manager can take important steps to integrate business intelligence solutions with already existing data quality management processes. It will help in determining the kind of data sets that are most likely to be used most and those that are highly targeted for quality management in a company. With concepts of business intelligence, numerous processes of quality data management can be easily enhanced and effected.

Data Governance Stewardship

Data quality managers are supposed to take ownership of all data governance roles and manage all aspects of data quality improvement from one end to the other. These individuals should take up leadership roles in providing solutions to data integrity issues in addition to managing all data governance initiatives and policies.

Create a Data Governance Board

It is important to mitigate all business risks arising from data driven business systems and processes in the company. These boards should include mechanisms to resolve data related issues, enforcing all data quality improvements and taking extremely proactive steps for data quality improvement in the company.

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