Data Governance - 4 - A Day in the Life of a Data Governance Program and its Capabilities Flashcards
What is the primary goal of a data governance (DG) program?
To create a common place business-as-usual program that ensures data does better things rather than harmful things.
What should happen to the impression of DG over time?
It should disappear into the everyday operations of an enterprise.
What are the three key variations in data governance?
- Implementation style
- Federation
- Specific capabilities
What is essential for getting participants engaged in a DG program?
A good understanding of how a DG program looks and works.
What characterizes a successful DG program?
A collection of elements that work together to provide a big picture of governance.
What initiated the DG program at Rocky Health Systems?
A large reimbursement was withheld due to incorrect data in a report.
What was the initial response to the data issues at Rocky Health Systems?
A small group was tasked to investigate the data issues, uncovering frustration about data quality.
Who drove the initiation of the DG program at Rocky Health Systems?
The CFO and CMO.
What was the outcome of the DG program after six months?
No issue with the reimbursement from the government agency, and payments were made.
What are the four factors that affect the scope of data governance?
- Business model
- Content being governed
- Degree of federation
- Development methods
What does the business model factor in DG scope refer to?
The type of organization, its corporate hierarchy, and its operating environment.
How does content type impact DG?
It influences the types of tools and policies that must be defined within the DG program.
What is a typical example of a content type that may be governed?
Master data, business intelligence data, and structured data.
What governance challenge is presented by unstructured data?
It may need to be kept for decades and subject to legal discovery.
What is the significance of development methods in DG?
They affect how governance policies and standards are designed and implemented.
What does federation mean in the context of data governance?
It defines how governance capabilities are blended across various functions in the organization.
What influences the operations of a DG organization?
The definition of federation and its related processes and principles.
True or False: DG can be applied uniformly across all types of data management and usage.
True.
Fill in the blank: DG must always be viewed as an _______ approach.
[enterprise]
What was the role of the compliance manager in the DG program at Rocky Health Systems?
To socialize the program and ensure data issues were logged and addressed.
What was a major outcome of the successful DG program at Rocky Health Systems?
Leadership approved bringing a consultant back to expand the program.
How does the enterprise size affect DG?
Larger organizations will need to federate their DG programs.
What is the term used to describe the area that governs global, regional, and local items?
Item
What is the definition of federation according to Webster Dictionary?
An encompassing political or societal entity formed by uniting smaller or more localized entities
What factors affect the federated layers and activities in data governance?
- Enterprise size
- Brands
- Divisions
- Countries
- IT portfolio condition
- Culture and information maturity
What does the term ‘information management maturity’ (IMM) refer to?
The ability of an organization to use information and data
True or False: The scope of data governance (DG) should be solely determined by the size of the organization.
False
What is the main content managed in a global retail organization?
Anything used or descriptive of the ‘stuff’ and getting it sold
Fill in the blank: The three cornerstones of any organization are People, Process, and _______.
Technology
What are the two components of the DG operating model?
- Capabilities model
- Workflow model
What is the primary purpose of DG capabilities?
To describe what must happen in data governance
What are the roles of capabilities in DG?
- Indicating what must be done
- Aiding in determining accountability and responsibility
Which business areas should DG consider for interaction and collaboration?
- Human resources
- Compliance and/or legal
- Risk management
- Large-scale integration projects
What does the bottom line for DG processes and functions emphasize?
They need to be formally considered and built
True or False: The ultimate goal of DG is to become a stand-alone program.
False
What does the acronym DGC stand for?
Data Governance Council
What is the significance of principles in data governance?
They guide conduct and application of data management and governance capabilities
What is an analogy used to explain the importance of principles in DG?
The ‘Bill of Rights’ in the United States Constitution
List some sample principles of data governance.
- Master principle
- Federation
- Data efficiency
- Business alignment
- Information quality
- Risk management
- Share and collaborate
What is the main function of the Data Governance Council?
To get the governing done
What does the term ‘data governance engagement’ refer to?
The involvement of stakeholders in the data governance process
What is the expected outcome when DG reaches the ‘transparent’ stage?
It becomes part of the fabric of business
Fill in the blank: The degree of transparency in DG is tied to your progress up the _______ curve.
IMM
What is the primary purpose of FARFEL?
To define and establish how information, data, and content is managed.
What are the enterprise standards and guidelines established by FARFEL?
Metrics, content, data structures, codes, values, and data naming.
What is required for data, information, and content to be effectively managed?
Available at the right time, place, and format to authorized users at an efficient cost.
What determines the maintenance of information management solutions?
Business alignment and response to business needs.
What is the importance of data quality in enterprise data management?
Enterprise data must be managed and measured for quality, with accountability for integrity.
What must be ensured regarding data compliance?
Data must comply with all applicable statutes and regulations.
What is the nature of enterprise data?
A shared resource across the enterprise, not owned by specific business areas.
Define ‘policies’ in the context of data governance.
Formally defined processes that codify principles and give them strength.
Why are metrics important in a data governance program?
You cannot manage what you do not measure.
What are common metrics for data governance?
- DG Stewardship Progress
- DG Stewardship Effectiveness
- Data Quality
- DG Value
What is the role of accountability in data governance?
Designation of accountability is key for the survival of data governance.
What is a Chief Data Officer (CDO)?
A role responsible for the management of data assets, often reporting to the CEO.
What does governing data involve?
Understanding the data landscape, including what data exists, where it is, and who uses it.
What is the data landscape?
An inventory of data including its location, usage, and origin.
What is the significance of technology in data governance?
Technology supports various aspects of data governance and is evolving rapidly.
What should organizations consider before purchasing data governance tools?
Tools should improve existing processes, not be acquired without formal data governance.
What are some features to consider in data governance tools?
- Principle and policy administration
- Business rules and standards administration
- Data discovery
- Metrics scorecard
What are the critical success factors for data governance?
- Mandatory for projects using information
- Must show value explicitly
- Manage organizational change
- Viewed as an enterprise effort
Why is organizational change management often overlooked?
Common reasons include time constraints, budget concerns, and misconceptions about its importance.
What does the case of Gladys illustrate about change management?
Highlights the importance of involving users in the change process to ensure successful implementation.
What is the long-term goal of a data governance program?
To institutionalize data governance as a key aspect of organizational operations.
Why is the assimilation of data governance into everyday life challenging?
Resistance to change and the need to modify existing behaviors and processes.
