ITonlinelearning Academy

Introduction

Learning Objectives

1.1 The Principles of Good Data Entry Design

1.2 Input Masks & Format Enforcement

1.3 Lookup Tables & Controlled Vocabularies

1.4 Preventing Common Entry Errors

2.1 Field-Level Validation

2.2 Cross-Field & Record-Level Validation

2.3 Cross-Record & Cross-System Validation

2.4 Building a Validation Strategy

3.1 Standardisation

3.2 Deduplication

3.3 Handling Missing Data

3.4 Data Enrichment

4.1 Planning a Cleansing Project

4.2 Automated vs Manual Cleansing

4.3 Measuring Cleansing Effectiveness

4.4 Sustaining Quality After Cleansing

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