Data Quality Framework Design & Implementation

In addition to assisting companies in data cleansing, we empower them with the necessary resources to tackle this task themselves. Our services encompass establishing a comprehensive framework for companies to manage and ensure the quality of their data while enabling them to take proactive measures to maintain its cleanliness.

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Key Components:

 

• Business Rules: Guidelines for maintaining data accuracy, completeness, uniqueness, and consistency.

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• Data Catalog or Dictionary: Detailed information about the data attributes, such as definitions, data types, technical info, and more.

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• Data Ownership: Responsibilities and accountabilities assigned to individuals or teams, ensuring proper governance and control over data.

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• Data Quality Reports: Reports highlighting any issues or inconsistencies present in the data.

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• Data Quality Dashboard: Real-time view of data quality metrics and performance indicators.

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• Data Quality Monitoring Process: Automated mechanisms to continuously monitor data quality, detect anomalies, and trigger remedial actions promptly.