Data validation is a critical process that ensures the accuracy, quality, and integrity of data before it is processed and used in decision-making. It involves checking data against predefined rules or criteria to identify and correct errors, thereby preventing potential issues in data-driven applications.

Data Validation

Data validation

critical process

Accuracy Of Data

Quality Of Data

integrity of data

Predefined rules are established guidelines or protocols that dictate specific actions or decisions in various systems or processes, ensuring consistency and predictability. They are essential in automating tasks, maintaining standards, and reducing ambiguity in decision-making across diverse fields such as computing, law, and organizational management.

predefined rules

Data criteria

Finding mistakes is like playing detective to make sure everything is right and works well. It's important because fixing mistakes helps us learn and do better next time.

Identifying Errors

Correcting Errors

potential issues

Data-driven applications are like smart helpers that use lots of information to make good choices and help us do things better, like finding the fastest way home or suggesting a fun game to play. They learn from all the information they see and get better at helping us over time, just like how you get better at drawing the more you practice.

data-driven applications

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