Recently, we had the privilege of participating in the Evanta CDAO Executive Summit in Atlanta, gaining valuable insights from the cohesive community of data strategists, architects, and managers. Through keynote presentations, breakout sessions, boardroom discussions, and one-on-one dialogues, it became evident that Chief Data and Analytics Officers (CDAOs) are assuming increasingly pivotal roles in enterprises, spearheading digital transformation, and driving novel business value. Their mandate involves creating a competitive edge by monetizing, governing, and managing enterprise data.
While the mission of CDAOs is grand, the pressure to deliver tangible results is formidable. A consensus within the community emphasized that CDAOs require small and frequent victories to sustain momentum and validate the value of their initiatives. From this perspective, Orion Governance’s Enterprise Information Intelligence Graph (EIIG) emerges as a potential game-changer for CDAOs, offering several key advantages.
Advantages For CDAOs Using EIIG
Firstly, EIIG can automatically ingest metadata from over 70 technology sources, intelligently weaving it into a comprehensive knowledge graph. This empowers CDAOs to selectively focus on a few systems for specific projects, be it the mainframe, SAP, or Python/Java-based applications. The result is a swift creation of a unified view of chosen technology sources, establishing a single source of truth.
Secondly, EIIG’s robust term-to-asset mapper and other capabilities facilitate dynamic cataloging. This not only streamlines data discovery but also fosters collaboration between IT and business teams, encouraging cross-functional teamwork.
Thirdly, EIIG stands out as an all-in-one active metadata and data governance platform, encompassing features like data lineage, catalog, impact analysis, quality augmentation, trust propagation, and metadata analytics, including similarity analysis. The native integration of all these capabilities within a single product eliminates the need for organizations to navigate through a patchwork of tools, optimizing resource utilization.
Last but not least, powered by AI/ML-driven automation and a self-defined data fabric approach, EIIG boasts a deployment timeframe measured in weeks rather than months or years. This rapid implementation allows CDAOs to swiftly demonstrate the realization of value to stakeholders.
How CDAOs Win with EIIG
In short, with EIIG, CDAOs can quickly show tangible business outcomes with use cases such as
- Refining the process of uncovering pertinent data within mainframe or other complex systems for monetization purposes,
- Establishing trust and confidence in the data for report generation, and reducing reliance on human intervention for validation.
- Developing a comprehensive comprehension of legacy data and conducting near real-time impact analysis to enhance the efficiency of cloud migration.
- Enhancing data quality by incorporating quality scores at various stages of the data pipeline.
- Visualizing end-to-end data lineage with field level details and layered views for compliance or internal audit,
- Automatically identifying redundant data elements—tables, ETL jobs, reports etc.–to minimize duplicate data.
These rapid victories will undoubtedly assist CDAOs in gaining momentum, accelerating more extensive and impactful data-driven initiatives.
Ready to learn more? Sign up for a demo now.
About the Author: Niu Bai, Ph.D. is the Head of Global Business Development at Orion Governance, Inc. Connect with Niu on LinkedIn.
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