Save
Upgrade to remove ads
Busy. Please wait.
Log in with Clever
or
show password
Forgot Password?
Don't have an account?  Sign up 
Sign up using Clever
or
Username is available taken
show password


Make sure to remember your password. If you forget it there is no way for StudyStack to send you a reset link. You would need to create a new account. Your email address is only used to allow you to reset your password. See our Privacy Policy and Terms of Service.

Already a StudyStack user? Log In

Reset Password
Enter the associated with your account, and we'll email you a link to reset your password.
focusNode
Didn't know it?
click below
 
Knew it?
click below
Don't Know
Remaining cards (0)
Know
0:00
edit
Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.

  Normal Size     Small Size show me how

DMBOK - Chp 3

Data Governance

QuestionAnswer
Data Governance definition The exercise of authority and control (planning, monitoring, and enforcement) over the management of data assets.
Most Data Governance programs include Strategy Policy Standards and quality Oversight Compliance Issue management Data management projects Data asset valuation
Drivers for data governance include Reducing Risk (General risk management, data security, and privacy) Improving Processes (regulatory compliance, Data quality improvement, Metadata management, efficiency in development projects, vendor management)
Data Governance goal Enable an organization to manage data as an asset.
Data Governance represents an inherent separation of duty between oversight and execution.
Difference between Data Governance and Data Management Data Governance: Ensuring data is managed Data Management: Managing data to achieve goals
Data-centric organizations Value data as an asset and manages data through all phases of its lifecycle.
Data Governance Steering Committee The primary and highest authority organization for data governance in an organization, responsible for oversight, support, and funding of data governance activities.
Data Governance Council Manage data governance initiatives (e.g., development of policies or metrics), issues, and escalations.
Data Governance Office Ongoing focus on enterprise-level data definitions and data management standards across all DAMA-DMBOK Knowledge Areas.
Data Stewardship Team Communities of interest focused on one or more specific subject-areas or projects, collaborating or consulting with project teams on data definitions and data management standards related to the focus.
Data Governance model types Centralized - one DG organization oversees all activities in all subject areas Replicated - the same DG operating model and standards are adopted by each business unit Federated - one DG organization coordinates with multiple Business Units
Data Stewardship Accountable and responsible for data and processes that ensure effective control and use of data assets
Typical stewardship activities Creating and managing core Metadata Documenting rules and standards Managing data quality issues Executing operational data governance activities
Business Data Steward Business professionals, most often recognized subject matter experts, accountable for a subset of data. They work with stakeholders to define and control data
Data Owner A Business Data Steward who has approval authority for decisions about data within their domain.
Technical Data Stewards IT professionals operating within one of the Knowledge Areas (such as data integration, database administrators, BI specialists, DQ analysts or Metadata administrators)
Data Policies Directives that codify principles and management intent into fundamental rules governing the creation, acquisition, integrity, security, quality, and use of data and information.
Data Asset Valuation the process of understanding and calculating the economic value to an organization. The key to understanding the value is understanding how it is used and the value brought by its usage.
Ways to measure data asset value Replacement cost Market value Identified opportunities Selling data Risk cost
Data Governance enables shared responsibility for data-related decisions and activities that cross organizational and system boundaries in support of an integrated view of data.
Typical DG readiness assessments include Data management maturity (understand what the organization does with data) Capacity to change Collaborative readiness Business alignment
DG discovery activity will identify and assess the effectiveness of existing policies and guidelines, as well as opportunities to improve the usefulness of data and content
Data Governance Strategy components Charter Operating framework and accountabilities Implementation roadmap Plan for operational success
When defining DG operating framework, consider Value of data to the organization Business model Cultural factors Impact of regulation
DG goals, principles, and policies derived from the DG Strategy Guide the organization into the desired future state
DG Issue Management examples Authority (questions regarding decision rights and procedures) Change management escalations Compliance Conflicts Conformance Contracts Data security and identity Data quality
Typical early stage DG activities Defining DG procedures Establishing a business glossary Coordinating with Enterprise Architecture and Data Architecture to support better understanding of the data and systems Assigning financial value to data assets
Concepts that are typically standardized Data Architecture Data Modeling and Design Data Storage and Operations Data Security Data Integration Documents and Content Reference and Master Data Data Warehousing and BI Metadata Data Quality Big Data and Data Science
Business glossary objectives Enable common understanding of core business concepts and terminology Reduce the risk that data will be misused due to inconsistent understanding Improve the alignment between technology assets and the business organization Maximize search capabilities
DG Tools & Techniques Online presence / Website Business Glossary Workflow Tools Document Management Tools Data Governance Scorecards
DG Metrics Value (e.g., contribution to business objectives, reduction of risk, improved efficiency in operations) Effectiveness (Achievement of goals, extent stewards are using relevant tools) Sustainability (performance of policies and standards)
Created by: sshupert
 

 



Voices

Use these flashcards to help memorize information. Look at the large card and try to recall what is on the other side. Then click the card to flip it. If you knew the answer, click the green Know box. Otherwise, click the red Don't know box.

When you've placed seven or more cards in the Don't know box, click "retry" to try those cards again.

If you've accidentally put the card in the wrong box, just click on the card to take it out of the box.

You can also use your keyboard to move the cards as follows:

If you are logged in to your account, this website will remember which cards you know and don't know so that they are in the same box the next time you log in.

When you need a break, try one of the other activities listed below the flashcards like Matching, Snowman, or Hungry Bug. Although it may feel like you're playing a game, your brain is still making more connections with the information to help you out.

To see how well you know the information, try the Quiz or Test activity.

Pass complete!
"Know" box contains:
Time elapsed:
Retries:
restart all cards