13) Data Quality Flashcards
Effective data management involves a set of complex, interrelated processes that enable an organization to use its data to achieve strategic goals.
P 449
1) True
2) False
1 true
Q2 Deliverables in data quality context diagram include:
P 451
MULTI SELECT
1 DQM Procedures
2 Data architecture
3 Data governance
4 DQ Policies and guidelines
5 Analyses from data profiling
6 Data quality Service Level Agreements
1,4,5,6
Q3The term data quality refers to only the characteristics associated with high quality data.
P453
1) True
2) False
2 false
Q4 Data can be assessed based on whether is is required by:
P 454
MULTI SELECT
1 Regulatory reporting
2 Capturing policy
3 Ongoing operations
4 Provide the starting point for customizations, integration or even replacement of an application
5 business policy
6 Make the integrations between data management and data analytics possible
1,3,5
Q5 Please select the incorrect item that does not represent a dimension in the data values category in Data Quality for the information age.
p455-456
MULTIPLE CHOICE
1 currency
2 timeliness
3 consistency
4 completeness
2
Q6 The accuracy dimension of data quality refers to the degree that data correctly represents ‘real-life’ entities
P 458
MULTIPLE CHOICE
1 True
2 Fals
1 true
Q7 What ISO standard defines characteristics that can be tested by any organization in the data supply chain to objectively determine conformance of the data to this ISO standard.
P 461
MULTIPLE CHOICE
1 ISO 9000
2 ISO 7000
3 ISO 8000
4 ISO 9001
3 ISO 8000
Q8The accuracy dimension has to do with the precision of data values.
P460
1) True
2) False
1 true
Q9 Data Integrity includes ideas associated with completeness, accuracy, and consistency.
P 459
1) True
2) False
1 true
Q10 Validity, as a dimension of data quality, refers to whether data values are consistent with a defined domain of values.
P 459
1) True
2) False
1 True
Q11 Dimensions of data quality include:
P460
MULTI SELECT
1 Validity
2 Privacy
3 Innovation
4 accessibility
5 currency
6 all of the above
1,2,4,5
ISO 8000 will describe the structure and the organization of data quality management, including:
P 462
MULTI SELECT
1 Data quality availability
2 data quality planning
3 data quality control
4 data quality assurance
5 data quality improvement
2,3,4,5
Some common data quality business rule types are:
P 464
MULTI SELECT
1 Definitional conformance
2 Format compliance
3 range conformance
4 mapping conformance
1,2,3,4
The Shewhart chart contains the following elements:
P 463
Multi select
1 Plan
2 Utilization
3 Do
4 Check
5 Act
6 All of the above
1,3,4,5
Issues caused by data entry processes include:
p 466-467
Multi select
1 Training issues
2 list entry replacement
3 software issues
4 soft state issues
5 change to business processes
6 inconsistent business process execution
1,2,5,6