Overview

What are the benefits of using a data catalog ..?

Data Catalog

Data is one of the most valuable assets for any organization, but it can also be one of the most challenging to manage and use effectively. Data is often scattered across different systems, formats, and locations, making it hard to find, understand, and trust. Data users may spend more time searching for and preparing data than actually analyzing it and deriving insights. Data governance may also suffer from lack of visibility and control over data quality, security, and compliance.

This is where a data catalog can help. A data catalog is a centralized inventory of data assets (and information about those data assets) that enables organizations to find and understand data efficiently. A data catalog can offer the modern enterprise a better way to harness the power of its data for analytics and artificial intelligence (AI) initiatives.

Some of the benefits of a data catalog are:

Self-service

Self-service

A data catalog enhances data management and accessibility, offering a seamless user experience. It empowers data users to easily find and use reliable data for their projects without relying on IT staff or other intermediaries. As data volumes increase, understanding the location and purpose of data is essential for organizations. Importantly, 51% of analytics users struggle to locate and access the necessary data.

Self Service

Data Lineage

Data Lineage

A data catalog documents the context and origin of data assets, tracking their movement within the organization, transformations, access patterns, and other crucial metadata. Data lineage provides users insights into data history, quality, and its influence on subsequent processes and outcomes.

Data Lineage

Data Profiling

Data Profiling

A data catalog analyzes the structure and content of data to help identify trends and potential issues to address to improve data quality. Data profiling helps users assess the completeness, accuracy, consistency, validity, and uniqueness of data before using it for analysis.

Data Profiling

Governance

Governance

A data catalog helps organizations ensure compliance with stringent financial governance standards and regulatory acts such as Sarbanes-Oxley, Basel III, GDPR, and the Digital Operational Resilience Act (DORA) by providing robust tools to manage data quality, security, and compliance requirements.

Within the financial sector, a data catalog serves as the cornerstone for establishing auditable data lineage that regulatory bodies increasingly demand, while simultaneously enforcing critical data policies, standards, and rules that maintain financial reporting integrity.

The catalog enables financial institutions to implement comprehensive monitoring and reporting on data usage across operational systems, creating accountability trails that satisfy both DORA's requirements for ICT risk management and operational resilience, as well as other financial regulations like MiFID II, PSD2, and BCBS 239. By centralizing metadata management, financial institutions can demonstrate to regulators that they maintain proper control over their data assets, supporting the "three lines of defense" risk management model while providing the transparency necessary for financial supervision authorities.

Data Governance

Metadata

A data catalog helps organizations extract, organize, and enrich metadata (data about data) from various sources and systems. Metadata management helps users find, understand, and document data, as well as provide business context and meaning to data.

Metadata

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A data catalog can help organizations improve customer experience, optimize operations, enhance insights, and accelerate innovation by making data easier to find and use. A data catalog can also help organizations foster a data-driven culture by empowering users to collaborate and share knowledge around data. By using a data catalog, organizations can leverage their data assets more effectively and efficiently to drive business value.

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