The Ever Growing Importance of Data Cataloging In Enterprises
As the volume of data continues to grow at a greater scale, data continues to become an integral part of almost every process and business operation. For enterprises that are committed to becoming “data-driven”, the best use of the data will be to make informed business decisions that will contribute to increase in business performance and business expansion. By treating data as a business asset, enterprises are focusing to turn their data assets into business revenues and profits.
Challenges Enterprises Face:
Enterprise data is distributed across many different departments, data lakes, data warehouses, and applications, thus it is a challenge to know exactly where your requested data is hosted and what type of data sets are available for you. With the enormous increase in the sources of the data formats, types, and the data landscape becomes more complex.
Following are the challenges that occur due to such complexity:
Limited View of Enterprise Data: To get a complete view of an enterprise, distributed data makes it challenging, as silos reflect a break-up picture of the business activities. This might result in wrong representation of valuable business insights that are hidden within the data.
Compromised Data Integrity: Data silos tend to create fragmentation of the data that results in potential loss of data quality. Such data may cause many analysis problems.
Increased Cost: Storing data includes infrastructure cost and its moving incurs transportation cost. Furthermore, collecting and using data also costs. Under these scenarios, factors like data duplication, data redundancy, data maintenance will demand more resources.
Validating Data Pipelines: As per the compliance requirements, you need to ensure that all the data assets that are approved are sourcing the data exclusively from authorized data sources. It is vital to know where the personal and sensitive data assets are located and how they are moving around the enterprise.
Hindered Collaboration: Out of the organizational silos that are formed from organizational separations, data silos get created. As the layers of separation create both technical incompatibilities and cultural boundaries, collaboration within the enterprise is more challenging
How to address all the above issues:
A data catalog addresses all the above issues as it helps in creating and maintaining an inventory of data assets through discovery, description, and distributed datasets in the enterprise. The data catalog provides context that helps data analysts, data stewards, data scientists and data engineers, and other lines of business data consumers to find and understand the specific datasets that help in extracting the business value.
Data catalog is important not only to business users but also to decision-makers because it integrates all the details about enterprise data assets across many data dictionaries by organizing them into a simple format. Turning enterprise data into a competitive advantage needs business users to be able to easily access, trust, understand, high-quality data across the enterprise.
Key Capabilities Of A Data Catalog:
Data Democratization: This helps even non-technical users to locate and utilize data and enables collaborative data to be used across an organization.
Data Discovery & Lineage Analysis: These are two important aspects of any data catalog; together they enable you to build trust and confidence in the data that you put into use for the purpose to derive business insights.
Data Protection: Collaborating an automated data protection solution with a data catalog ensures that data users can access data securely and compliantly as per their needs. Users with only appropriate permissions will have access to certain data sets and protect other sensitive and personal data.
Metadata Curation: A data catalog tool helps to connect and extract metadata from multiple databases such as data lakes, data warehouses, and ETL tools which is the key to scale data access in a centralized catalog.
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