Data Governance - 10 - Implementation Flashcards
(88 cards)
1
Q
What is the purpose of the Implementation work area?
A
To produce the list of events required to deploy data governance and provide an outline for success and sustainability.
2
Q
What does data governance (DG) aim to improve?
A
The management of information within organizations.
3
Q
What is the ‘roadmap’ in the context of data governance?
A
The penultimate work product for the DG program, forming the foundation for the sustainability of DG.
4
Q
Define sustainability in data governance.
A
Ensuring that the right processes are in place for the DG organizational framework to continue performing its governance function.
5
Q
What should organizations consider for DG sustainability?
A
- Acceptance of data governance
- Management of the function
- Monitoring and measuring results
- Overcoming obstacles that cause DG programs to fail
6
Q
What is required to measure the effectiveness of data governance?
A
Developing and measuring metrics that reinforce DG’s value and track progress.
7
Q
What is the role of a formal organizational change management (OCM) program in DG?
A
To sustain DG within the organization.
8
Q
Fill in the blank: Change requires that people adjust their _______.
A
[behaviors]
9
Q
True or False: People naturally embrace change without resistance.
A
False
10
Q
What model is most OCM work based on?
A
The Plan, Do, Act model.
11
Q
List the types of activities in the Implementation work area.
A
- Align DG with current efforts
- Assign DG to planned efforts
- Define DG deployment increments
- Develop short and long term deployment plans
- Define sustaining requirements
- Define organization behavior targets
- Develop change management plan
- Define metrics for effectiveness
- Define metrics for efficiency
- Design metric collection and reporting
12
Q
What is the most frequently requested deliverable in data governance?
A
A roadmap.
13
Q
What should organizations avoid when integrating DG into existing projects?
A
Overwhelming deadline-driven efforts with governance activity.
14
Q
What is the benefit of aligning DG with current efforts?
A
Engagement of more stakeholders and indication that DG is real.
15
Q
What is the goal when DG is built into high-visibility efforts?
A
Leverage and coordination rather than additional oversight.
16
Q
Define the purpose of defining DG deployment increments.
A
To create a roll-out plan that allows for incremental implementation of DG.
17
Q
What is a critical aspect of the rollout process for DG?
A
Avoiding the perception of force-feeding the organization.
18
Q
What must be considered when defining roadmap increments?
A
- All various efforts
- Possible combinations or leverage
- Short-term wins
19
Q
What is the expected outcome of the initial increments in DG?
A
Generating value and good impressions.
20
Q
Why is it important to assess resistance levels during DG implementation?
A
To prepare organizational change management plans for overcoming resistance.
21
Q
What should accompany the DG program in large ERP efforts?
A
A DG program built in by the systems integrator.
22
Q
What is the role of stewards and custodians in DG?
A
To be accountable and responsible parties for data governance.
23
Q
What is a common pitfall when initiating DG in organizations?
A
Presenting DG as an add-on service instead of a mandatory component.
24
Q
What is required for each increment in data governance (DG)?
A
DG capabilities, process, and/or functions
These elements ensure that the scheduled increments are manageable and effective.
25
What are the two benefits of generating value in the initial increments of DG?
1. DG participants gain valuable experience
2. Organization is exposed to DG
26
What approach should be taken in the task of implementing DG?
Deliverables-based approach
27
Why is it useful to establish checkpoint meetings during DG deployment?
To capture feedback and detect resistance
28
What type of plans may be necessary after the roadmap is set for DG?
Short-term or long-term detailed plans
29
What is a key aspect of a roll-out strategy for DG?
Getting the governance structure actively engaged in DG activities
30
What must the team identify to maintain DG for the long term?
Sustaining requirements
31
What is essential for the success of DG implementation?
Having an effective Organizational Change Management (OCM) program
32
What are the three main phases of change management?
1. Planning
2. Doing
3. Act or Sustaining
33
What is the number one success factor for change efforts according to Prosci Best Practices surveys?
The right sponsor
34
What type of communication is critical in OCM?
Open, honest, and frequent communication
35
What does WIIFM stand for in OCM principles?
What's in it for me?
36
What should be the focus when defining organization behavior targets?
Articulating new behaviors required for DG
37
What do sustaining requirements provide insight into?
How cultural elements need to be addressed
38
What is a common outcome from stakeholder analysis in DG?
Identifying the change impact on stakeholder groups
39
What is a potential consequence of poorly managed change in an organization?
Significant hard dollar costs
40
What is necessary to understand when developing behaviors for DG?
If the audience understands the concepts they are adopting
41
What must be monitored to ensure no reversion to old ways during DG?
The effectiveness of new behaviors
42
What should be included in the change management plan for DG?
1. Communication plans
2. Education and training plans
3. Sponsorship expectations
4. Resistance management plan
43
What is essential for the right sponsor in DG?
Influence and political capital
44
What types of resistance should be proactively identified?
Overt and passive resistance
45
What is a recommended approach for engaging stakeholders during DG?
Providing opportunities for feedback
46
What does increasing data literacy help with in DG?
Further increases the likelihood of success
47
What are examples of desired visible behaviors in data governance capabilities?
1. Data governance strategy
2. Compliance identification
3. Roles and responsibilities
48
What should training for glossary users cover in DG?
Concepts behind why a glossary is needed
49
What is the risk of not managing organizational change in DG?
Failure to move from current to desired organizational behavior
50
What is the primary goal of data governance (DG)?
To ensure that data is well managed and adds value to the organization.
## Footnote
Data governance encompasses the management of data quality, data sharing, and compliance with regulations.
51
What are stakeholders in data governance expected to learn?
New things related to glossaries, model (EPRI), and other metadata structures.
## Footnote
This includes understanding the implications of data governance on their workflows.
52
What significant change does standardization bring to RREC?
It requires stakeholders to incorporate new standards into their existing work.
## Footnote
This change may result in a new Item Master.
53
What is essential for effective data governance communication?
Clear communication of expectations and accomplishments.
## Footnote
Communication must be two-way, incorporating feedback from stakeholders.
54
True or False: Resistance to change during data governance implementation should be ignored.
False.
## Footnote
Resistance can manifest in various ways and must be addressed to ensure success.
55
What components are mandatory in a change management plan?
* Specific conditions for sustainability and success
* Metrics defined for effectiveness, efficiency, and value
* OCM team members
* Resistance-management plan
* Staff performance goals
* Sustainability checklist
* Feedback mechanisms
* DG communications plan
* DG training plan
* Staff transition approach
## Footnote
Each component plays a vital role in managing organizational change.
56
What should the communication plan address during a DG rollout?
Bringing people up a 'change curve' from awareness to commitment.
## Footnote
It includes considering the audience, key messages, and feedback mechanisms.
57
What metrics are critical for measuring the effectiveness of a DG program?
* Achievement of initiative goals and objectives
* Effectiveness of communication
* Effectiveness of education/training
* Value of data governance
## Footnote
These metrics help assess whether the DG program is meeting its objectives.
58
Fill in the blank: Data debt is a concept that communicates the cost of _______.
mismanaging data.
## Footnote
It highlights the obligations to fix data issues in the future.
59
What are examples of risk metrics in data governance?
* Cost per downtime event
* Loss of customer confidence
* Liquidity metrics
* Operational costs
* Potential penalties for non-compliance
## Footnote
These metrics help quantify the financial risks associated with inadequate data management.
60
What should be included in a DG training plan?
* Audiences and type of training
* Levels and extent of training
* Vehicles for training
* Timing and delivery means
* Review and approval of training plan
## Footnote
A comprehensive training plan is essential for ensuring staff is equipped to manage data effectively.
61
What is a key consideration when defining metrics for data governance?
Aligning metrics with the specific goals of the organization regarding data quality, literacy, and standardization.
## Footnote
Metrics should reflect the objectives set out in the business case.
62
What is a common pitfall in communication during DG implementation?
Training stakeholders too early without confirming understanding.
## Footnote
Effective communication should ensure that stakeholders feel prepared and informed.
63
How should organizations handle passive resistance during DG changes?
Include tasks in the change management plan to identify and address all types of resistance.
## Footnote
Passive resistors are often the most challenging to identify and manage.
64
What are the two categories of metrics for measuring efficiency in DG?
* Measure speed of change adoption
* Measure efficiency of processes
## Footnote
These metrics help assess how quickly and effectively the DG initiatives are being implemented.
65
True or False: Communication in data governance is only a one-way process.
False.
## Footnote
Effective communication requires feedback and active listening.
66
What is the importance of defining 'value' in the context of data governance?
To justify the data governance initiatives and demonstrate their financial impact.
## Footnote
Value can be defined in various ways, including cost savings and improved decision-making.
67
What is a key factor in ensuring the sustainability of data governance?
Developing a comprehensive change management plan that addresses all necessary components.
## Footnote
This includes metrics, resistance management, and ongoing communication.
68
What is the goal of ensuring DG oversight of key initiatives?
Increased efficiency of projects and new project initiation/reduced costs
69
What are some indicators of successful communications and training events?
Communications events that happened as planned, Training events that happened as planned
70
List some technology-related metrics for data governance.
* # of data sources consolidated
* # of data targets using mastered data
* # of spreadsheets used
* Data integrity across systems
* Improved traceability of data
* Usage of a Unique Identifier
* # of business terms mapped to data models and objects
* % completion of attributes
* % completion of lineage
* % completion of glossary
* Improved reporting efficiency and accuracy
71
What is the purpose of defining metrics for efficiency in data governance?
To show effectiveness in a way that resonates within the organization
72
What are the two categories available for efficiency metrics?
* Total cost of ownership of data
* Efficiency of the operating model
73
Define total cost of ownership in the context of data governance.
The overall cost an organization incurs to manage its data assets
74
What are some people-related efficiency metrics?
* % employees using BI and reporting tools
* % departments head counts that are business or data analysts
* Total staff cost for direct BI/DW work in IT
* Total staff cost for direct BI/DW non-IT
* Total labor cost for Business Users of BI and Reporting
75
Fill in the blank: The cost per non-DW Interface measures what it costs to extract data from a system to provide a file to _______.
[users]
76
What does data portfolio management involve?
Costs and metrics for managing the data portfolio
77
What are some aspects of process operating model efficiency?
* Policy responses
* Issue resolution
78
True or False: The key to metrics is quantity rather than quality.
False
79
What is the importance of metric collection and reporting?
To gather and report on necessary metrics effectively
80
What are some methods for gathering metrics?
* Observation
* Automated sources via DG tools
81
What is a recommended method for reporting metrics?
Through a website or scorecard for easy access
82
What common issue do many DG programs face during implementation?
Having to make a second go or evolve a prior program
83
What is Tom's focus for implementing data governance?
An Agile-type implementation with bursts of activity
84
What does Diana need to conduct to understand the cultural readiness for data governance?
A culture assessment
85
What is the role of metrics in Diana's data governance implementation?
To prove value and progress
86
What should a roadmap for data governance include?
* Projects
* Processes
* People changes
* Possible technology
87
What is the consequence of not maintaining sustaining requirements in data governance?
DG will fall into the same traps as all previous DM efforts
88
What are essential questions for evaluating data governance efforts?
* Why can sustaining requirements be done sooner?
* Why is a clear roadmap so important?
* What is the long-term consequence of a noninvasive approach?
