📌 Data Lineage Tracking Summary

Data lineage tracking is the process of following the journey of data as it moves through different systems and transformations. It records where data originates, how it changes, and where it is stored or used. This helps organisations understand, verify, and trust the data they work with.

🙋🏻‍♂️ Explain Data Lineage Tracking Simply

Imagine tracing the path of a parcel from the sender to your doorstep, noting each stop and change along the way. Data lineage tracking does the same for digital information, helping people see every step data takes and any changes it undergoes before reaching its final destination.

📅 How Can it be used?

Data lineage tracking can be used to map how customer information flows through a banking system for compliance and auditing.

🗺️ Real World Examples

A hospital uses data lineage tracking to monitor patient information as it moves from electronic health records to billing systems and reporting tools. This ensures that any changes or errors can be traced back to their source, supporting data accuracy and regulatory compliance.

A retailer implements data lineage tracking to follow sales data from in-store point-of-sale terminals through various reporting dashboards. This allows the company to identify where discrepancies occur and maintain reliable business analytics.

✅ FAQ

Data lineage tracking helps organisations see exactly where their data comes from, how it changes over time, and where it ends up. This makes it much easier to spot errors, keep data accurate, and meet regulatory requirements. It also helps teams trust the data they are working with, knowing its full journey has been recorded.

When something goes wrong with your data, knowing its entire journey makes it much quicker to find out where things went off track. Data lineage tracking lets you trace problems back to their source, making it easier to fix mistakes and prevent them from happening again.

Yes, it can. When people know where data comes from and how it has been handled, they can trust the information they use to make decisions. This leads to better, more confident choices because everyone understands the history and quality of the data involved.

📚 Categories

• Data Engineering
• Data Governance
• Information Governance

🔗 External Reference Links

Data Lineage Tracking link

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