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Governance ensures data is managed, but is not include the actual act of managing data.
Use business rules to support Data Integration and Interoperability at various points, to:
Part of alignment includes developing organizational touchpoints for data governance work. Some examples of touchpoints include: Procurement and Contracts; Budget and Funding; Regulatory Compliance; and the SDLC framework.
The acronym BASE is made up of:
Data professionals involved in Business Intelligence, analytics and Data Science are often responsible for data that describes: who people are; what people do; where people live; and how people are treated. The data can be misused and counteract the principles underlying data ethics.
The acronym ETL most commonly stands for:
A data warehouse deployment with multiple ETL, storage and querying tools often
suffers due to the lack of:
Value is the difference between the cost of a thing and the benefit derived from that thing.
Coupling describes the degree to which two systems are intertwined.
An advantage of a centralized repository include: High availability since it is independent of the source systems.
No recorded negative ethical outcomes does not mean that the organization is processing data ethically. Legislation cannot keep up with the evolution of the data environment so how do we stay compliant?
The advantage of a decentralized data governance model over a centralized model is:
If the target system has more transformation capability than either the source or the intermediary application system, the order of processes may be switched to ELT – Extract Load Tranform.
To become data-centric, organizations need to think differently. They need to recognize:
Improving an organization’s ethical behaviour requires an informal Organizational Change Management (OCM) process.
