Lucebra
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程式開發/數據科學/SAP 主資料治理 (MDG)

Mastering Data Cleansing: Techniques and Best Practices

MDG Data Excellence: Cleansing, Quality, Duplication, with SAP Examples

所有級別11 講座終身訪問
Yoann Bierling

認證碩士導師

Mastering Data Cleansing: Techniques and Best Practices
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認識您的導師:Yoann Bierling

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1小時 32分
總內容
你將學到什麼
Basic Understanding of Data Concepts: Familiarity with the concepts of data, databases, and basic data structures will be beneficial.
Interest in Data Management: A keen interest in understanding how data can be cleaned and optimized.
Computer Literacy: Comfort with using a computer and navigating software applications.
Microsoft Excel: While not mandatory, having Microsoft Excel or a similar spreadsheet tool will be useful for following along with the data cleansing demonstrations.
課程內容5 部分11 講座01:32:53 總長度

Introduction

02:27

Begin your data cleansing journey by meeting your instructor, an experienced data specialist who will guide you through the ins and outs of ensuring data quality and precision. Get to know their professional background and understand the passion they bring to the field of data management.

Agenda

12:08

In this introductory session, we lay out the roadmap for our comprehensive course. You'll discover what you'll learn, who can benefit the most from this course, the essence of data cleansing, and a clear definition to set the stage. We’ll also dive into the importance of Data Quality Assessment and why it's crucial for any data-driven business.

Introduction to Data Cleansing MDG Principles

17:17

Delve into the foundational principles of Master Data Governance (MDG) and its critical role in data cleansing. This lecture provides a solid starting point for understanding the overarching guidelines and standards that ensure high-quality data.

Data Cleansing Introduction: SAP Demo

01:29

Witness data cleansing in action within SAP. This demonstration will show you how to identify duplicates in the system, complete with an example involving duplicate customer entries in SAP tables.

Principles Of Data Cleansing

12:08

Explore the core principles that underpin effective data cleansing practices. Learn about the methodologies that lead to cleaner, more dependable data sets, and why these principles are essential for maintaining data integrity.

SAP Demo: How are duplicates created?

02:11

Go behind the scenes in SAP to learn how duplicate entries can be created. Using customer master data as an example, this demo will highlight common pitfalls and how to avoid them in your data management processes.

Benefits Of Data Cleansing

14:42

Uncover the myriad benefits of data cleansing, from improved accuracy and decision-making to greater compliance and trust in your data assets. This lecture articulates the value of cleansing, making it a compelling part of your data strategy.

SAP Demo: Extracting data for cleansing

03:23

This practical demo will guide you through the process of extracting data from an SAP table and moving it into an Excel file for cleansing. Learn the steps and best practices for ensuring a smooth data transfer for cleansing processes.

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要求

Basic Understanding of Data Concepts: Familiarity with the concepts of data, databases, and basic data structures will be beneficial.

Interest in Data Management: A keen interest in understanding how data can be cleaned and optimized.

Computer Literacy: Comfort with using a computer and navigating software applications.

Microsoft Excel: While not mandatory, having Microsoft Excel or a similar spreadsheet tool will be useful for following along with the data cleansing demonstrations.

目標受眾

Business End Users: If you are someone who interacts with IT systems regularly, this course is a golden opportunity. You’ll significantly benefit by acquiring skills to maintain and enhance the quality and reliability of the data you manage, leading to improved daily operations and data integrity.

Data Analysts and Data Scientists: For professionals immersed in the world of data analysis and management, this course is a beacon, enlightening the path to optimized data quality, enabling more precise insights, and facilitating better-informed and strategic decisions based on reliable and accurate data.

IT Professionals: If you’re responsible for sustaining IT systems and data infrastructures, this course will equip you with the practical knowledge essential to bolster the integrity and reliability of organizational data within IT environments, ensuring smooth and efficient IT operations.

Consultants and Implementers: For those actively engaged in the implementation and consultation of IT systems, the knowledge acquired here will be invaluable. It will enable you to uphold superior data quality standards in your projects, ensuring the delivery of optimal results and client satisfaction.

關於本課程

Embark on a journey to data excellence with our comprehensive course, designed to equip you with the essential tools and techniques for effective data cleansing within SAP environments. This meticulously crafted program bridges the gap between theoretical knowledge and practical application, providing you with a deep dive into the world of data quality enhancement.


Throughout the course, you will unravel the complexities of identifying and eliminating duplicate data, a crucial step towards maintaining data integrity. You'll gain proficiency in utilizing SAP's robust data governance tools to pinpoint inaccuracies and resolve them efficiently. We'll walk you through a series of real-world scenarios, teaching you to assess data quality with precision and navigate SAP systems with confidence.


Learn not just how to clean data, but also how to sustain its cleanliness with ongoing assessments and optimizations. Our expert-led demonstrations will show you how to extract data for cleansing and execute mass changes within the SAP framework, ensuring that your data remains accurate and reliable for decision-making.


This course goes beyond simple data entry corrections; it empowers you to become a custodian of quality, leveraging SAP's potent features to uphold and enhance data standards across any enterprise. Whether you're a data management novice or seeking to augment your existing skills, this course is your stepping stone to becoming a champion of data quality in the digital age.

職業發展機會與目標職位

掌握前沿實務技能,勝任全球高薪核心職務

就業就緒型課程
可應徵的目標職位

AI Solutions Engineer

Data Science Consultant

Machine Learning Practitioner

AI Workflow & Automation Specialist

預估年薪範圍
$105,000 – $165,000 / yr
全球產業需求

Fastest Growing Worldwide (#1)

掌握的核心關鍵技能
Model Fine-Tuning & Evaluation
Data Pipelines & Vector Analysis
Applied Generative AI Architecture
Predictive Analytics & Deployment
* 估算數據基於全球科技產業薪酬指標與市場招聘報告。
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Yoann Bierling
主要導師
Empowering Businesses Through SAP Solutions | Expert in SAP Training, Data Governance, and Project Success
Yoann Bierling is an SAP training expert and founder of YB.Digital, dedicated to helping businesses succeed in international projects through effective SAP solutions. With hands-on experience in data analysis, project management, and SAP implementation, he has supported numerous global supply chain and financial optimization programs. A seasoned corporate trainer and digital nomad, Yoann specializes in digital transformation and data governance. Fluent in English and French, and conversational in Russian, Polish, and Spanish, he is committed to making SAP knowledge globally accessible and impactful....

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