Data Qualityu

Question 1

Numbers, words or images that have yet to be analyzed to answer a specific questiom.

Answer 1

Data

Question 2

Produced through processing, manipulating, and organizing data to answer questions, adding to knowledge of the receiver.

Answer 2

Information

Question 3

it is the overall utility of a datasets as function of its ability to be processed easily and analyzed for a database, data warehouse or data analytics system.

Answer 3

Data Quality

Question 4

7 Aspects of Data Quality (ACRCRPA)

Answer 4

Accuracy, Completeness, Relevance, Consistency, Reliability, Presentability and Accessibility

Question 5

Indicates whether the data is free from significant errors and whether the numbers seem to make sense.

Answer 5

Accuracy

Question 6

Indicates whether there is enough information to draw a conclusion about the data and whether enough individuals responded to it to ensure representative.

Answer 6

Completeness

Question 7

Refers to the degree to which data are important to users and their needs.

Answer 7

Relevance

Question 8

Considers the extent to which data is collected using the same process and procedures by everyone doing the collecting and in all locations over time.

Answer 8

Consistency

Question 9

Determined by the degree to which measurements are similar (consistent) on repeated measurement

Answer 9

Reliability

Question 10

Degree from which the data is easily understood and well organized.

Answer 10

Presentability

Question 11

A tool that allows the use of small random samples to distinguish between different groups of data elements with high and low data quality.

Answer 11

Lot Quality Assurance Sampling

Question 12

Steps in Applying LQAS:

Answer 12

1. Define the service to be assessed. (e.g. DQA of DHIS)
2. Identify the unit of interest.
3. Define the higher and lower threshold of performance.
4. Determine the level of acceptable error.
5. Determine the sample size and decision rule for acceptable errors.
6. Identify of the number of errors observed.

Question 13

It is a simplified version of the Data Quality Audit tool which allows programs and projects to verify and assess the quality of their reported data.

Answer 13

Routine Data Quality Assessment (RDQA)

Question 14

3 Objective of RDQA

Answer 14

1. RAPIDLY VERIFY the quality of reported data of key indicators at selected sites.
2. IMPLEMENT corrective measures with action plans for strengthening data management and reporting system and improving data quality.
3. MONITOR capacity improvements and performance of data management and reporting system and produce quality data.

Question 15

A project management tool that illustrates how a project is expected to progress at a high level.

Answer 15

Implementation Plan

Question 16

It helps ensure that a development team is working to deliver and complete tasks on time.

Answer 16

Implementation Plan

Question 17

it answers the question “ what do you want to accomplish?”

Answer 17

Define Goals/Objectives

Question 18

Outline the high level schedule in the implementation phase

Answer 18

Schedule Milestone

Question 19

Determines whether you have sufficient resources, and decide how you will procure what is missing.

Answer 19

Allocate Resources

Question 20

Create a general team plan with overall roles that each team member will play.

Answer 20

Designate Team Member Responsibilities

Question 21

How will you determine if you have achieved your goal?

Answer 21

Define Metrics for success.

Question 22

It analyzes information and identifies incomplete or incorrect data.

Answer 22

Data Quality Tool

Question 23

It follow after the complete profiling of data concerns, which could range anywhere from removing abnormalities to merging repeated information.

Answer 23

Data Cleansing

Question 24

Refers to the decomposition of fields into components parts and formatting the values into consistent layouts based industry standards and patterns and user-defined business rules.

Answer 24

Parsing and Standardization

Question 25

Means the modification of data values to meet domain restrictions constraints on integrity, or other rules that define data quality as sufficient for the organization.

Answer 25

Generalized Cleansing

Question 26

The identification and merging related entries within or across data sets

Answer 26

Matching

Question 27

The deployment of controls to ensure conformity of data to business rules set by the organization.

Answer 27

Monitoring

Question 28

Enhancing the value of the data by using the related attributes from external sources such as the consumer demographic attributes or geographic descriptors.

Answer 28

Enrichment

Question 29

refers to the analysis of data to capture statistics or metadata to determine the quality of the data and identify data quality issues.

Answer 29

Profiling

Question 30

A problem solving method that identifies the root case of problems or events instead of simply addressing the obvious symptoms.

Answer 30

Root Cause Analysis

Question 31

Aims to find various modes of failures within the system. It is used when there is a new product or process or when there are changes or updates in a product and when a problem is reported through customer feed back.

Answer 31

Failure Mode And Effect Analysis

Question 32

It uses the Pareto principle (20% of work produces 80% of results) It is used when there are multiple potential causes to a problem.

Answer 32

Pareto Analysis

Question 33

It is used in risk and safety analysis. It uses the boolean logic to determine the root cause of an undesirable event

Answer 33

Fault tree analysis

Question 34

It is used when the root causes of multiple problems need to be analyzed all at once. The problems are listed down followed by the potential cause for a problem.

Answer 34

Current Reality Tree

Question 35

It is also called Ishiwaka or cause-and-effect diagram. It categorizes the cause and sub causes of a problem. This useful in grouping cause into categories.

Answer 35

Fishbone Diagram

Question 36

It breaks a problem down to its root cause by assessing a situation using priorities and orders of concerns for a specific issues

Answer 36

Kepner-Tregoe-Technique

Question 37

Discover, Investigate, Fix

Answer 37

Rapid Problem Resolution Diagnosis

Question 38

Data gathering and analysis of the findings

Answer 38

Discover

Question 39

Creation of diagnostic plan and identification of the root cause through careful analysis of the diagnostic data

Answer 39

InvestigateF

Question 40

Fixing the problem and monitoring to confirm and validate that the correct root cause was identified.

Answer 40

Fix