Data Validation

Data validation in Open Cloud MDM is a critical and multifaceted process, indispensable for upholding the quality and integrity of master data. This system employs a comprehensive approach to ensure that all transactions are processed accurately, conforming to both internal data standards and external business regulations.

In Open Cloud MDM, data validation is specifically designed to verify that data submitted in transactions complies with certain predefined requirements, as delineated by validation rules. This procedure plays a pivotal role in preserving data quality and consistency, ensuring that all transactions align with established business logic and rules. By rigorously validating data at various stages and levels within the system, Open Cloud MDM effectively safeguards the integrity and reliability of the master data it manages.

Levels of Data Validation:

1. Controller Level Validation:
• At this level, validations are processed during the pre-transaction stage.
• The primary aim is to perform as many validations as early as possible, thereby improving system performance and preventing the progression of invalid transactions.
• Controller level validation is crucial for filtering out data issues before they reach the more complex stages of transaction processing.
2. Business Component Level Validation:
• This level of validation is applied during the transaction execution phase.
• It is used for validations that are only feasible or relevant when the transaction is in progress, typically involving more complex business logic or interdependencies between data elements.

Types of Data Validation:

1. Internal Validation:
• Internal validation focuses on maintaining the integrity of the database.
• This type of validation is generally embedded within the system and is not directly accessible or modifiable by developers and administrators.
• It ensures that the core data structures and relationships within the database are not compromised by transactional data.
2. External Validation:
• External validation pertains to the content of the data being processed.
• This type of validation is accessible and modifiable by developers and administrators, allowing for a degree of customization and flexibility.
• It typically involves checking data against business rules, external standards, or specific data formats and values.

Importance of Data Validation in MDM:

• Data validation is integral to ensuring that the data managed by Open Cloud MDM remains accurate, consistent, and reliable.
• By employing validation at different levels and types, Open Cloud MDM can effectively safeguard data integrity throughout various stages of data processing.

This structured approach to validation not only enhances data quality but also optimizes the performance and efficiency of the system.