📌 Data Standardization Summary

Data standardisation is the process of converting data into a common format so that it can be easily understood, compared, and used together. It involves making sure that data collected from different sources follows the same rules and structure. This helps prevent confusion and mistakes when analysing or sharing information.

🙋🏻‍♂️ Explain Data Standardization Simply

Imagine everyone in your class writes their homework using different colours and handwriting styles. If you want to read and mark them quickly, it helps if everyone uses the same pen and neat writing. Data standardisation is like asking everyone to follow the same rules so their work is easy to read and compare.

📅 How Can it be used?

Data standardisation can help combine sales data from multiple shops to create a single, accurate report.

🗺️ Real World Examples

A hospital receives patient records from many clinics, but each clinic uses a different format for dates and addresses. By standardising these fields, the hospital can merge and analyse all records accurately, ensuring better patient care and reporting.

An online retailer collects customer information from different countries, where phone numbers and postcodes are formatted differently. Standardising these details helps the retailer manage orders efficiently and avoid delivery errors.

✅ FAQ

Data standardisation is important because it helps different teams and systems understand and use information in the same way. When data comes in many different formats, it can be confusing or even lead to mistakes. By putting everything into a common format, people can compare results more easily and share information without running into problems.

If data is not standardised, it can be difficult to combine or compare information from different sources. This can lead to misunderstandings, errors in analysis, and wasted time trying to clean up or translate the data. In some cases, important insights might be missed simply because the data does not line up properly.

Data standardisation helps with teamwork by making sure everyone is talking about the same thing. When all the data follows the same structure and rules, team members can work together more smoothly, share results easily, and avoid confusion. This makes it much easier to solve problems and reach shared goals.

📚 Categories

• Data Engineering
• Data Governance
• Data Science

🔗 External Reference Link

Data Standardization link

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