Data Quality Flashcards

(15 cards)

1
Q

What is Manual Directed Data Quality Correction?

A

The use of automated cleanse & correction tools with results manually checked before committing outputs

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2
Q

What is a key process in defining data quality business rules?

A

Separating data that does not meet business needs from data that does

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3
Q

What is NOT usually a feature of data quality improvement tools?

A

Data modelling

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4
Q

“The Data Quality Management cycle has four stages. Three are Plan, Monitor & Act. What is the fourth stage?”

A

Deploy

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5
Q

What is NOT an expected role of a Data Quality Oversight Board?

A

Data profiling & analysis

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6
Q

What is an example of the data quality dimension of ‘consistency’:

A

All the records in the CRM have been accounted for in the data warehouse.

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7
Q

Data quality measurements can be taken at three levels of granularity. They are:

A

“Data element value, data instance or record, and data set.”

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8
Q

What is NOT a stage in the Shewhart / Deming Cycle that drives the data quality improvement lifecycle:

A

Investigate

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9
Q

A data quality program should limit its scope to:

A

the data most critical to the enterprise and its customers.

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10
Q

What is a key process in defining data quality business rules?

A

Separating data that does not meet business needs from data that does

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11
Q

A Data Quality dimension is:

A

a measurable feature or characteristic of data.

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12
Q

What is NOT a typical activity in Data Quality Management?

A

Enterprise Data Modelling

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13
Q

Top down’ and ‘bottom up’ data analysis and profiling is best done in concert because:

A

It balances business relevance and the actual state of the data.

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14
Q

A Data Quality Service Level Agreement (SLA) would normally include which of these:

A

Respective roles & responsibilities for data quality

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15
Q

What is a critical outcome of effective data quality management for businesses?

A

Reducing financial losses and improving operational efficiency

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