Subject Area Goals (Reverse)

Question 1

Discover relationships between data and the business.

Answer 1

<p><strong>Big Data and Data Science</strong></p>

Question 2

Support the iterative integration of data source(s) into the enterprise.

Answer 2

<p><strong>Big Data and Data Science</strong></p>

Question 3

Discover and analyze new factors that might affect the business.

Answer 3

<p><strong>Big Data and Data Science</strong></p>

Question 4

Publish data using visualization techniques in an appropriate, trusted, and ethical manner.

Answer 4

<p><strong>Big Data and Data Science</strong></p>

Question 5

Develop a governed approach to make data fit for purpose based on data consumers’ requirements.

Answer 5

<p><strong>Data Quality</strong></p>

Question 6

Define standards, requirements, and specifications for data quality controls as part of the data lifecycle.

Answer 6

<p><strong>Data Quality</strong></p>

Question 7

Define and implement processes to measure, monitor, and report on data quality levels.

Answer 7

<p><strong>Data Quality</strong></p>

Question 8

Identify and advocate for opportunities to improve the quality of data, through process and system improvements.

Answer 8

<p><strong>Data Quality</strong></p>

Question 9

Provide organizational understanding of business terms and usage.

Answer 9

<p><strong>Metadata Management</strong></p>

Question 10

Collect and integrate metadata from diverse sources.

Answer 10

<p><strong>Metadata Management</strong></p>

Question 11

Provide a standard way to access metadata.

Answer 11

<p><strong>Metadata Management</strong></p>

Question 12

Ensure metadata quality and security.

Answer 12

<p><strong>Metadata Management</strong></p>

Question 13

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.

Answer 13

<p><strong>Data Warehousing and Business Intelligence</strong></p>

Question 14

To support and enable effective business analysis and decision making by knowledge workers.

Answer 14

<p><strong>Data Warehousing and Business Intelligence</strong></p>

Question 15

Enable sharing of information assets across business domains and applications within an organization.

Answer 15

<p><strong>Reference and Master Data</strong></p>

Question 16

Provide authoritative source of reconciled and quality-assessed master and reference data.

Answer 16

<p><strong>Reference and Master Data</strong></p>

Question 17

Lower cost and complexity through use of standards, common data models, and integration patterns.

Answer 17

<p><strong>Reference and Master Data</strong></p>

Question 18

To comply with legal obligations and customer expectations regarding Records management.

Answer 18

<p><strong>Document and Content Management</strong></p>

Question 19

To ensure effective and efficient storage, retrieval, and use of Documents and Content.

Answer 19

<p><strong>Document and Content Management</strong></p>

Question 20

To ensure integration capabilities between structured and unstructured Content.

Answer 20

<p><strong>Document and Content Management</strong></p>

Question 21

Provide data securely, with regulatory compliance, in the format and timeframe needed.

Answer 21

<p><strong>Data Integration and Interoperability</strong></p>

Question 22

Lower cost and complexity of managing solutions by developing shared models and interfaces.

Answer 22

<p><strong>Data Integration and Interoperability</strong></p>

Question 23

Identify meaningful events and automatically trigger alerts and actions.

Answer 23

<p><strong>Data Integration and Interoperability</strong></p>

Question 24

Support business intelligence, analytics, master data management, and operational efficiency efforts.

Answer 24

<p><strong>Data Integration and Interoperability</strong></p>

Question 25

Enable appropriate, and prevent inappropriate, access to enterprise data assets.

Answer 25

Data Security

Question 26

Understand and comply with all relevant regulations and policies for privacy, protection, andconfidentiality.

Answer 26

Data Security

Question 27

Ensure that the privacy and confidentiality needs of all stakeholders are enforced and audited.

Answer 27

Data Security

Question 28

Manage availability of data throughout the data lifecycle.

Answer 28

Data Storage and Operations

Question 29

Ensure the integrity of data assets.

Answer 29

Data Storage and Operations

Question 30

Manage performance of data transactions.

Answer 30

Data Storage and Operations

Question 31

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.

Answer 31

Data Modeling and Design

Question 32

Identify data storage and processing requirements.

Answer 32

Data Architecture

Question 33

Design structures and plans to meet the current and long-term data requirements of the enterprise.

Answer 33

Data Architecture

Question 34

Strategically prepare organizations to quickly evolve their products, services, and data to take advantage of business opportunities inherent in emerging technologies.

Answer 34

Data Architecture

Question 35

Enable an organization to manage its data as an asset.

Answer 35

Data Governance

Question 36

Define, approve, communicate, and implement principles, policies, procedures, metrics, tools, and responsibilities for data management.

Answer 36

Data Governance

Question 37

Monitor and guide policy compliance, data usage, and management activities.

Answer 37

Data Governance

Question 38

To define ethical handling of data in the organization

Answer 38

Data Ethics

Question 39

To educate staff on the organization risks of improper data handling

Answer 39

Data Ethics

Question 40

To change/instill preferred culture and behaviors on handling data.

Answer 40

Data Ethics

Question 41

To monitor regulatory environment, measure, monitor, and adjust organization approaches for ethics in data.

Answer 41

Data Ethics

Question 42

Understanding and supporting the information needs of the enterprise and its stakeholders, includingcustomers, employees, and business partners

Answer 42

Data Management

Question 43

Capturing, storing, protecting, and ensuring the integrity of data assets

Answer 43

Data Management

Question 44

Ensuring the quality of data and information

Answer 44

Data Management / Data Quality

Question 45

Ensuring the privacy and confidentiality of stakeholder data

Answer 45

Data Management

Question 46

Preventing unauthorized or inappropriate access, manipulation, or use of data and information

Answer 46

Data Management / Data Security

Question 47

Ensuring data can be used effectively to add value to the enterprise

Answer 47

Data Management