Data pillar in digital transformation

What is the primary reason for the ineffectiveness of most data governance programs today? [Ref: Designing Data Governance That Delivers Value]

• Lack of technology

• Lack of data

• Lack of recognition of the value-creation potential in data governance at the C-suite level

• Lack of guidelines

What is the role of technology solutions such as data lakes and data-governance platforms in data governance? [Ref: Designing Data Governance That Delivers Value]

• They are a panacea for all data governance issues

• They are irrelevant to data governance

• They can help but are not a panacea

• They are the only solution to data governance issues

What is the impact of poor data quality and availability on enterprise time according to the 2019 global data transformation survey? [Ref: Designing Data Governance That Delivers Value]

• It consumes 10% of total enterprise time

• It consumes 30% of total enterprise time

• It consumes 50% of total enterprise time

• It has no impact on total enterprise time

What is the role of a Chief Data Officer (CDO) in a typical data governance structure? [Ref: Designing Data Governance That Delivers Value]

• To execute the day-to-day work

• To set the overall direction and standards

• To act as a data-domain owner

• To approve funding

According to the article, what is the first step to ensure success with data governance? [Ref: Designing Data Governance That Delivers Value]

• Forming a data-governance council

• Defining a set of data domains

• Securing top management's attention

• Establishing quality standards

How should data assets be prioritized for effective data governance? [Ref: Designing Data Governance That Delivers Value]

• By domains and by data within each domain

• By the size of the data

• By the age of the data

• By the source of the data

What is the recommended approach to data governance for data used only in an exploration setting? [Ref: Designing Data Governance That Delivers Value]

• Apply light governance

• Apply strict governance

• Do not apply any governance

• Apply the same level of governance as for other data

What is the role of change management in data governance? [Ref: Designing Data Governance That Delivers Value]

• To build data supporters and convert the skeptics

• To ensure data quality

• To manage data storage

• To track data usage

What is the opportunity cost of not getting data governance right? [Ref: Designing Data Governance That Delivers Value]

• Missed upside, extensive time lost in manually cleaning data, incorrect and suboptimal business decisions

• Increased cost of data storage

• Increased cost of data acquisition

• Increased cost of data analysis

According to the article, how should companies think of data governance for success? [Ref: Designing Data Governance That Delivers Value]

• As frameworks and policies

• As a strategic embedding into the way the organization works every day

• As a technology solution

• As a responsibility of the IT department