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What is Driving the Need for Chief Data Officers?

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Organizations are creating, accessing and using more sources and types of information than ever. This trend, combined with the increasing need to understand how data is being used within an enterprise, is driving the need for chief data officers, according to Gartner Inc.

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Comments (2)
I have suggested such a role for decades. I feel an applicant for this role should have the following abilities and experience.

- Data Science and Analytics - Business and Data Asset Metadata, - Data Architecture, - Model and Metadata Repositories, - Master Data Management, - Terminology, i.e., o Text Analytics include content tagging, keyword extraction, concept extraction, part-of-speech extraction o Indexing and search o Integrated Business and Data Glossaries of Terms/Keywords o Modeling of Term Relations  Concept modeling (Concept Mapping)  Organizational/Mission Modeling (Concept of Operations)  Process Modeling  Product Modeling  Process and Product Metadata - Integrated and canonical process and product modeling  Metadata and Data Management - Integrated and canonical Conceptual/logical/physical data modeling for domains and organizations  Knowledge Modeling (i.e., ontologies and metamodels) - Integrated and canonical Architecture templates  Knowledge Bases - Integrated and canonical Architectures  Value Modeling (i.e., Axiologies) - Integrated value-lattice of integrated processes (value-chains and supply chains of products), Lean/Kaizen internal continuous improvement methods, and Six-Sigma type statistical process controls (SPC) of value-streams. - Integrated resource modeling o Identity and Access Management based on a knowledge base of metadata and data about job requirements, job incumbent identities, and processes matched to resources o Enterprise Architecture methodology, metamodel/framework, and technology design/specification.

Posted by Roy R | Tuesday, February 04 2014 at 11:12AM ET
I propose that this CDO should have responsibility for all data (structured, semi-structured, unstructured) and all metadata containing or connecting the data (e.g., information, knowledge, intelligence, awareness).
Posted by Roy R | Tuesday, February 04 2014 at 11:17AM ET
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