By 2025, IDC says worldwide data will grow 61% to 175 zettabytes, with as much of the data residing in the cloud as in data centers. With so much data stored by organizations across numerous systems and applications, it’s difficult for users to know not just all the valuable information available to them, but the liabilities associated with that data.
So, what companies need is a complete 360-degree view of all enterprise data assets. All information—from multiple cloud platforms, on-premise databases, outside data sources and other applications—and all in a centralized location. With on demand, real-time access by both business and technical users so they could quickly uncover data lineage, meaning, quality score, uses and more.
Too much to ask, pie in the sky?
A business-ready data catalog provides businesses with this comprehensive view of all enterprise data assets and provides not just the physical details of data, but also how it can be used and where it is used. The result is trustworthy, reliable and detailed data businesses can use with confidence to inform and influence organizational decisions.
By utilizing a data governance framework to assign data ownership for critical data assets, organizations begin documenting data lineage and gathering technical and business knowledge dispersed throughout the company. While not binary, data lineage helps drive a successful data catalog. It describes the data’s origin, where it travels and helps identify how it is consumed.
A data catalog must incorporate multiple views of data lineage to show all aspects of the data.
The first view is technical data lineage. Technical lineage tracks data on a physical level so IT resources can narrow down the cause of data quality problems, locate sensitive and regulated information and identify any changes to systems and processes.
The second view is business data lineage. Business lineage enables business users to trace data errors and ensure they have accurate, trustworthy information, that can be used and that produces reliable insights.
Between both views we have the business to technical lineage. This lineage is key to help build business lineage and essential for data stewards to manage the data and for business users to extract value from the data.
By incorporating both views of data lineage in a data catalog, businesses establish a single source of enterprise data intelligence. This includes where data lives, where it originated, how it is regulated and its meaning and purpose. However, automation technologies have recently redefined the modern data catalog by delivering a complete picture of enterprise data.
A data catalog is a single source of business and technical knowledge, providing a 360-degree view of data assets. A full, 360-degree view of data means that, in addition to including data lineage, data quality metrics, etc., the catalog also provides detailed business context and knowledge around data.
To make an extensive data catalog a reality, organizations must adopt automated data lineage technologies. For instance, an integrated data intelligence platform with unified capabilities for automated data lineage, in addition to data governance, data quality, analytics and metadata management features. These technologies must not just automate the technical lineage, but automatically link the technical and business layers. They should also help with curation of the catalog.
With an extensive suite of automated capabilities, the platform automatically analyzes data to uncover new data patterns and descriptors. By understanding these patterns and utilizing the platform to automatically bring information into the catalog, business users quickly discover business lineage, relationships with business assets, business context and data quality metrics to derive value from data.
With automated data lineage, companies build an easily accessible, browsable, business-ready data catalog with a complete, 360-degree view of data assets for both business knowledge and technical details surrounding data. Business users now have reliable information to speed up time-to-market, gain a competitive advantage and ultimately make business decisions based on data they can trust and that they can use.
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