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Mastering Data Cleansing: Techniques and Best Practices
Rating: 4.2 out of 5(153 ratings)
32,185 students

Mastering Data Cleansing: Techniques and Best Practices

MDG Data Excellence: Cleansing, Quality, Duplication, with SAP Examples
Created byYoann Bierling, Alena Molko, Felix Richmond
Last updated 3/2024
English

What you'll learn

  • Basics of data cleansing and its necessity
  • Identifying and resolving data duplicates
  • Data quality metrics and assessment techniques
  • SAP MDG principles and overview, applicable to any system
  • Spotting data errors in SAP environments, applicable to any environment
  • Techniques to correct data in SAP and any other environment
  • Utilizing Excel for data cleansing tasks, starting from an SAP export or other system data export
  • Best practices for data quality improvement
  • Maintaining ongoing data cleanliness

Course content

5 sections • 11 lectures • 1h 32m total length

  • Introduction2:27

    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.

  • Agenda12:08

    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 Principles17:17

    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 Demo1:29

    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.

  • The Essentials of Data Cleansing

Requirements

  • 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.
  • SAP Access: Access to an SAP environment is ideal for practice, but not required for learning the concepts.

Description

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.

Who this course is for:

  • 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.
  • Business Managers and Decision-Makers: Managers, leaders, and strategic decision-makers will understand the profound implications of data quality on business processes and outcomes, thereby fostering strategic, informed, and effective business decisions, enhancing overall business strategy and operational success.
  • Small to Medium Business Owners: If you own an SME utilizing IT systems, this course will offer practical insights to maintain unparalleled data quality, thereby optimizing operational efficiency and securing a competitive edge in the marketplace.

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