C.2.3. Datasets¶
Coherent collections of information made available for access.
The capability Datasets (C.2.3) is part of the capability area Data Architecture in the Data Pillar.
Coherent collections of information made available for access.
A Data Inventory is a repository of Data Assets for the organization (also known as a Data Catalog or Metadata Repository). The inventory contains information about what data exists, where it resides ("data-at-rest"), responsible parties, upstream/downstream usage, how it moves ("data-in-motion"), classifications, quality designations, availability, and other useful metrics. (See also Self-describing Datasets (SDDs)). The contents are cataloged at physical, logical, and business levels using defined organizational standards. Consistently documenting data is the backbone of an effective data management program. Policies and controls are required to ensure the inventory remains accurate and relevant.
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Work in progress
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Work in progress, this is just the results of an initial brainstorm session, needs to be worked out
- Did you identify the value proposition of your organization? Scale 1-5
- Is your value proposition supported by value streams? Scale 1-5
- Does each value stream provide an identifiable and measurable flow of value ? Scale 1-5
- Is each Value Stream an executable model (and is it actually
executed)? Scale 1 to 5.
- Note: this is “just” about the Value Stream model itself, not about executing all related models as well. Development value streams (DVS) are the sequence of activities needed to convert a Value Stream model into a digitally enabled Solution.
- Do you know what percentage of any given change management plan
relies on proven steps?
- TODO: Work this one out further
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Work in progress, describe the 5 maturity levels of this capability
Contribution to the EKG¶
Having the Value Chain(s) of an organization defined can help with the selection, definition and prioritization of the right use cases for the EKG.
Contribution to the Enterprise¶
In the EKG context, a "digital twin" of a company's value chain can be modelled where all the various components of the value chain are represented e.q. all details around logistics, supply chains, operations, services, marketing, sales and all support activities. At higher levels of maturity, all real-world details of these components are available as well and represent the reality accurately and in real-time.
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Work in progress, describe how this capability is possibly being delivered today in a non-EKG context and optionally what the issues are that EKG could or should improve
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Work in progress, describe how this capability would be delivered or supported using an EKG approach, making the link to the "how" i.e. the EKG/Method.
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Work in progress, list examples of use cases that contribute to this capability, making the link to use cases in the catalog at https://catalog.ekgf.org/use-case/..