Data Quality Management: Basics & Best Practices

Data Quality Management: Basics & Best Practices
Published 3/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Master Data Quality Principles & Best Practices

What you’ll learn

Understand the key concepts of data quality and its importance in business operations.

Learn to measure and improve accuracy, completeness, consistency, and timeliness in datasets.

Discover advanced techniques for profiling and assessing large volumes of data effectively.

Gain insight into strategies for identifying and correcting inaccurate or duplicate data points.

Establish robust governance policies to ensure high standards of data quality across your organization.

Requirements

Basic understanding of database management systems

Familiarity with data entry processes

Description

Overview

Section 1: Section 1: Introduction to Data Quality

Lecture 1 1.1: What is Data Quality?

Lecture 2 1.2: Why Data Quality Matters?

Section 2: Section 2: Understanding Data Quality Metrics

Lecture 3 2.1: Accuracy & Completeness

Lecture 4 2.2: Consistency & Timeliness

Section 3: Section 3: Data Profiling and Assessment Techniques

Lecture 5 3.1: Basic Data Profiling Methods

Lecture 6 3.2: Advanced Data Assessment Tools

Section 4: Section 4: Data Cleansing Process

Lecture 7 4.1: Identifying Inaccurate or Duplicate Data

Lecture 8 4.2: Strategies for Data Cleansing

Section 5: Section 5: Implementing Data Quality Standards

Lecture 9 5.1: Establishing Data Governance Policies

Lecture 10 5.2: Setting up Data Quality Metrics

Section 6: Section 6: Data Integration Challenges and Solutions

Lecture 11 6.1: Common Issues in Data Integration

Lecture 12 6.2: Best Practices for Seamless Integration

Section 7: Section 7: Ensuring Data Consistency Across Platforms

Lecture 13 7.1: Aligning Data Standards

Lecture 14 7.2: Maintaining Consistency Through Automation

Section 8: Section 8: Leveraging Technology for Data Quality Management

Lecture 15 8.1: Introduction to Data Quality Tools and Software

Lecture 16 8.2: Implementing Data Quality Solutions in Your Organization

Beginners interested in learning about data quality management,Database administrators looking to enhance their knowledge of managing data integrity,Data analysts aiming to improve data accuracy in their analyses,Business professionals seeking to understand the importance of high-quality data for decision-making,IT managers tasked with implementing and maintaining data governance policies