M6 U3 - Data Management - Q2

Question 1

What phases are involved in data understanding? (2)

Answer 1

• data acquisition (aka data gathering)
• data preparation

Question 2

What is data acquisition?

Answer 2

Also known as data gathering, it involves gathering data from different sources and transforming the data into formats that are suitable for analytic solution development.

Question 3

What happens when the requirements phase is completed?

Answer 3

the data science team will embark on data acquisition or data gathering

Question 4

What’s data wrangling? (3 actions, 3 results)

Answer 4

The process of gathering, selecting, and transforming data to ensure that it is usable, free of noise and has as little bias as possible to meet defined analytic objectives.

Question 5

What steps are involved in data wrangling? (3)

Answer 5

• Checking for missing values
• Identifying outliers
• Formatting the data.

Question 6

What is data management?

• It’s an organization’s way of ________________ (4) data.
  Makes sure that the data housed within an organization is ______________ (2)

Answer 6

• It’s an organization’s way of acquiring, storing, securing and processing data.
• Makes sure that the data housed within an organization is accessible and accurate

Question 7

What group(s) manage data management?

Answer 7

• Managed by the IT team in an organization.
• Business users will participate too

Question 8

List the organization responsible from the 11 knowledge areas for data management. List the areas.

Answer 8

• Data management body of knowledge (DAMA-DMBOK)

Question 9

Who is involved in the data management process?

Answer 9

• Multiple departments

Question 10

Who’s responsible for designing an organization’s data management framework?

Answer 10

data architects

Question 11

Data Governance

Answer 11

• Defines how data is accessed and managed within an organization.
• planning, oversight, and control over management of data and the use of data and data-related resources.

Question 12

Data Architecture

Answer 12

the overall structure of data and data-related resources as an integral part of the enterprise architecture

Question 13

Data Modeling & Design

Answer 13

analysis, design, building, testing, and maintenance (was Data Development in the DAMA-DMBOK 1st edition)

Question 14

Data Storage & Operations

Answer 14

structured physical data assets storage deployment and management (was Data Operations in the DAMA-DMBOK 1st edition)

Question 15

Data Security

Answer 15

ensuring privacy, confidentiality and appropriate access

Question 16

Data Integration & Interoperability

Answer 16

acquisition, extraction, transformation, movement, delivery, replication, federation, virtualization and operational support ( a Knowledge Area new in DMBOK2)

Question 17

Documents & Content

Answer 17

storing, protecting, indexing, and enabling access to data found in unstructured sources (electronic files and physical records), and making this data available for integration and interoperability with structured (database) data.

Question 18

Describe Reference & Master Data (idea (1), how (2), and results (2))

Answer 18

Idea: Managing shared data

How:

• Standardizing data definitions
• Standardizing the use of data values

Results:

• Reduce redundancy
• Ensure better data quality

Question 19

Data Warehousing & Business Intelligence

Answer 19

managing analytical data processing and enabling access to decision support data for reporting and analysis .

Question 20

Metadata

Answer 20

collecting, categorizing, maintaining, integrating, controlling, managing, and delivering metadata .

Question 21

The Data Quality area involves what? (3 actions on 1, 1 action on another)

Answer 21

• Defining, monitoring, maintaining data integrity
• Improving data quality.

Question 22

Your client has an established data management structure in place, this means that:

Answer 22

Your client regards their data as a resource that should be reliable, and should be kept secure.

Correct: Data management ensures that a company is mindful of the security, integrity, and overall quality of their data and data infrastructure.

Question 23

When setting analytic objectives, it is good practice to define a data statement. This ensures that you have assessed a business’s data science readiness. Why is data gathering not conducted during the data science readiness assessment?

Answer 23

Data gathering is best conducted after all analytic requirements are gathered.

Correct: Although analytic objectives have been set prior to this stage, it is important to define the analytic and business requirements to ensure that the right questions are answered and the right data is gathered.

Question 24

What does data governance impact?

Answer 24

• High level: Impacts the decisions that can be made from the data available to the organization.
• Has positive implications for the: quality, security, and integrity of data

Question 25

Who should have a data governance strategy?

Answer 25

Any organization that stores and utilizes data

Question 26

What are some benefits of data governance? (4)

Answer 26

• Accessibility: Provides a reliable and consistent view of enterprise wide data
• Quality improvement: It ensures that there is a plan for improved quality of data
• Reduces silos: Maps the location of data in the enterprise reducing the scourge of data silos
• Improves data management overall

Question 27

What group(s) administer data governace?

Answer 27

Data management team

Question 28

In the context of data, what is a stakeholder?

Answer 28

An individual or group that make or is affected by data driven decisions within an organization

Question 29

What are Data governance best practices for organizations? (3)

Answer 29

• Data has integrity
• Data related decisions and controls are transparent and can be audited
• Data is unbiased

Question 30

What is unbiased data?

Answer 30

general idea: data represents all members of a population that could be served by an organization.

This best practice will positively influence the development of ethical models and algorithms for analytic solutions.

Question 31

Is the data science project team involved in setting up a data governance framework for a client?

Answer 31

No

Question 32

The Data Management Body of Knowledge is a useful resource to a business/organization because:

Answer 32

It provides data management best practices to organizations and professionals looking to create and manage their data infrastructure.

Question 33

What do Data Architects do?

Answer 33

• handle the development of a data management plan
• work with other IT team members especially data engineers to ensure that data is collected and stored securely.

Question 34

What’s The Data Management- Body of Knowledge (DAMA-DMBOK)?

Answer 34

• Provides a best practices guide for data management professionals and organizations with a data infrastructure
• highlights eleven (11) areas of knowledge that will guide a data management professional in ensuring that an organization’s data infrastructure follows best practices.

Question 35

Data management is an organization’s way of doing what with/to data? (4)

Answer 35

• Acquiring
• Storing
• Securing
• Processing