Matching Pairs Data Validation TermsOnline version Test your knowledge with Data Validation Terminologies! by Amber Deremiah 1 Data Reliability 2 Data Entry 3 Data Security 4 Data Cleansing 5 Data Transformation 6 Data Quality 7 Data Profiling 8 Data Integrity If and how one accessess systems, tables, rows (records) and columns (fields). Analyzing data to understand its quality Degree to which data meets requirements Changes to data from one system and/or purpose to another. Process of putting information into an electronic medium. Maintaining accuracy and consistency of data The ability of data to be consistently accurate over time. Process of correcting or removing errors in data 1 Data Validation 2 Data Analysis 3 Data Validation Plan 4 Data Validation Rules 5 Data Scenarios Ensuring data accuracy Document outlining data validation approach Data elements that differentiate the various situations in your model, and have the same composition as the intended 'live' data. Criteria used to validate data Inspecting, cleansing, transforming, and modeling data to discover useful, informing conclusions and support decision making. 1 Test Step 2 Test Result 3 Test Strategy 4 Test Case 5 Test Scenario 6 Test Suite 7 Test Plan Document that defines the logical groupings or collection of test cases, across multiple scenarios. Document that covers the end-to-end functionality from an end-user perspective. Describes how a feature or function should work and what to expect holistically. The actual vs the expected result for any Test Step, Case or Suite. Specific instructions to test a particular function or feature, denoting how to test and what to expect specifically Document that describe the test design and how to perform testing Document that defines the test scope, objective, approach, and emphasis of a software testing initiative
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