Subject Area Goals

Question 1

Data Management (6 goals)

Answer 1

Goals:

1. Understanding and supporting the information needs of the enterprise and its stakeholders, includingcustomers, employees, and business partners
2. Capturing, storing, protecting, and ensuring the integrity of data assets
3. Ensuring the quality of data and information
4. Ensuring the privacy and confidentiality of stakeholder data
5. Preventing unauthorized or inappropriate access, manipulation, or use of data and information
6. Ensuring data can be used effectively to add value to the enterprise

Question 2

Data Ethics (4 goals)

Answer 2

Goals:

1. To define ethical handling of data in the organization
2. To educate staff on the organization risks of improper data handling
3. To change/instill preferred culture and behaviors on handling data.
4. To monitor regulatory environment, measure, monitor, and adjust organization approaches for ethics in data.

Question 3

Data Governance (3 goals)

Answer 3

Goals:

1. Enable an organization to manage its data as an asset.
2. Define, approve, communicate, and implement principles, policies, procedures, metrics, tools, and responsibilities for data management.
3. Monitor and guide policy compliance, data usage, and management activities.

Question 4

Data Architecture (3 goals)

Answer 4

Goals:

1. Identify data storage and processing requirements.
2. Design structures and plans to meet the current and long-term data requirements of the enterprise.
3. Strategically prepare organizations to quickly evolve their products, services, and data to take advantage of business opportunities inherent in emerging technologies.

Question 5

Data Modeling and Design (1 goals)

Answer 5

Goals:

1. To confirm and document an understanding of different perspectives, which leads to applications that more closely align with current and future business requirements, and creates a foundation to successfully complete broad-scoped initiatives such as master data management and data governance programs.

Question 6

Data Storage and Operations (3 goal)

Answer 6

Goals:

1. Manage availability of data throughout the data lifecycle.
2. Ensure the integrity of data assets.
3. Manage performance of data transactions.

Question 7

Data Security (3 goals)

Answer 7

Goals:

1. Enable appropriate, and prevent inappropriate, access to enterprise data assets.
2. Understand and comply with all relevant regulations and policies for privacy, protection, andconfidentiality.
3. Ensure that the privacy and confidentiality needs of all stakeholders are enforced and audited.

Question 8

Data Integration and Interoperability (4 goals)

Answer 8

Goals:

1. Provide data securely, with regulatory compliance, in the format and timeframe needed.
2. Lower cost and complexity of managing solutions by developing shared models and interfaces.
3. Identify meaningful events and automatically trigger alerts and actions.
4. Support business intelligence, analytics, master data management, and operational efficiency efforts.

Question 9

Document and Content Management (3 goals)

Answer 9

Goals:

1. To comply with legal obligations and customer expectations regarding Records management.
2. To ensure effective and efficient storage, retrieval, and use of Documents and Content.
3. To ensure integration capabilities between structured and unstructured Content.

Question 10

Reference and Master Data (3 goals)

Answer 10

Goals:

1. Enable sharing of information assets across business domains and applications within an organization.
2. Provide authoritative source of reconciled and quality-assessed master and reference data.
3. Lower cost and complexity through use of standards, common data models, and integration patterns.

Question 11

Data Warehousing and Business Intelligence (2 goals)

Answer 11

Goals:

1. To build and maintain the technical environment and technical and business processes needed to deliver integrated data in support of operational functions, compliance requirements, and business intelligence activities.
2. To support and enable effective business analysis and decision making by knowledge workers.

Question 12

Metadata Management (4 goals)

Answer 12

Goals:

1. Provide organizational understanding of business terms and usage.
2. Collect and integrate metadata from diverse sources.
3. Provide a standard way to access metadata.
4. Ensure metadata quality and security.

Question 13

Data Quality (4 goals)

Answer 13

Goals:

1. Develop a governed approach to make data fit for purpose based on data consumers’ requirements.
2. Define standards, requirements, and specifications for data quality controls as part of the data lifecycle.
3. Define and implement processes to measure, monitor, and report on data quality levels.
4. Identify and advocate for opportunities to improve the quality of data, through process and system improvements.

Question 14

Big Data and Data Science (4 goals)

Answer 14

Goals:

1. Discover relationships between data and the business.
2. Support the iterative integration of data source(s) into the enterprise.
3. Discover and analyze new factors that might affect the business.
4. Publish data using visualization techniques in an appropriate, trusted, and ethical manner.