ITonlinelearning Academy

Introduction

Learning Objectives

1.1 What Bad Data Looks Like

1.2 The Financial Impact

1.3 Operational Impact: When Data Breaks Processes

1.4 The Trust Problem

2.1 Accuracy

2.2 Completeness

2.3 Consistency

2.4 Timeliness, Validity, & Uniqueness

3.1 Defining Quality Rules

3.2 Quality Metrics & Scorecards

3.3 Setting Quality Thresholds

3.4 Profiling: Your Quality Baseline

4.1 Prevention Over Correction

4.2 Root Cause Analysis

4.3 Data Quality as a Continuous Process

4.4 Fitness for Purpose

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