📌 Data Quality Roles Summary

Data quality roles refer to the specific responsibilities and job functions focused on ensuring that data within an organisation is accurate, complete, consistent, and reliable. These roles are often part of data management teams and can include data stewards, data quality analysts, data owners, and data custodians. Each role has its own set of tasks, such as monitoring data accuracy, setting data quality standards, and resolving data issues, all aimed at making sure data is trustworthy and useful for business decisions.

🙋🏻‍♂️ Explain Data Quality Roles Simply

Think of data quality roles as the different jobs people have in a kitchen to make sure a meal tastes good. One person checks the ingredients, another follows the recipe, and someone else makes sure the food is cooked properly. If everyone does their job well, the final meal is delicious and safe to eat, just like how good data quality makes sure information is reliable and useful.

📅 How Can it be used?

Assigning data quality roles ensures clear accountability and continuous monitoring of data used in a customer relationship management system.

🗺️ Real World Examples

A large healthcare provider creates a data steward role to oversee patient record accuracy. The steward reviews data for errors, ensures missing information is filled in, and works with IT and medical staff to correct any issues, helping the organisation maintain trustworthy patient records.

A retail company appoints a data quality analyst to monitor sales transaction data. The analyst regularly checks for duplicate entries, incorrect pricing, or missing product details, ensuring the sales reports are correct and inventory is managed efficiently.

✅ FAQ

Data quality roles help make sure that a company can trust its information when making decisions. If data is not accurate or complete, it can cause confusion or even costly mistakes. Having people dedicated to looking after data helps everyone use the same, reliable information and keeps things running smoothly.

A data steward is someone who looks after the data and makes sure it is correct and well managed. They set rules for how data should be handled, keep an eye on its quality, and help fix any problems. Their work helps others in the company use data with confidence.

Data quality analysts check the data for errors, spot patterns that might show a problem, and suggest ways to make improvements. Their efforts mean that the business can rely on good data, which helps with planning, reporting, and making important choices.

📚 Categories

• AI Governance
• Data Engineering
• Data Governance

🔗 External Reference Links

Data Quality Roles link

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