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Data Governance in Financial Services: How to Ensure Data Integrity for Risk Management and Reporting

Astera

Introduction   As financial institutions navigate intricate market dynamics and heighten regulatory requirements, the need for reliable and accurate data has never been more pronounced. This has spotlighted data governance—a discipline that shapes how data is managed, protected, and utilized within these institutions.

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What is Metadata Management? Benefits, Framework, Tools, Use Cases, Best Practices

Astera

Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Examples include actions (such as data cleaning steps), tools used, tests performed, and lineage (data source).

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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Data breaches and regulatory compliance are also growing concerns.

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What Is Data Management and Why Is It Important?

Astera

When data is organized and accessible, different departments can work cohesively, sharing insights and working towards common goals. Data Governance vs Data Management One of the key points to remember is that data governance and data management are not the same concepts—they are more different than similar.

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Unifying Data from Multiple Sources: Data Integration and Data Consolidation in Data Preparation 

Astera

One of the key benefits of a data lake is that it can also store unstructured data, such as social media posts, emails, and documents. This makes it a valuable resource for organizations that need to analyze a wide range of data types.

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Data Quality Tools: Top 8 for 2023 & Beyond

Astera

It helps users to clean data and uncover missed matches from diverse sources, ensuring reliability and accuracy throughout the enterprise data ecosystem. However, limited documentation is available for its advanced features, such as custom data profiling patterns, advanced matching options, and survivorship rule setup.

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The Best Talend Alternatives & Competitors to Consider in 2024

Astera

Data Quality : It includes features for data quality management , ensuring that the integrated data is accurate and consistent. Data Governance : Talend’s platform offers features that can help users maintain data integrity and compliance with governance standards.