DDQP0: Developing a Data Quality Program Learning Plan

The Developing a Data Quality Learning Plan, led by instructor Mark Horseman, equips participants to design and launch data quality programs with precision, blending governance principles, ownership models, and actionable frameworks. Attendees will dissect the anatomy of a data quality program charter, becoming proficient in defining scope, assigning roles, and aligning initiatives with business objectives. Through hands-on exercises, learners will navigate critical components like managing expectations for critical data elements, designing KPIs and scorecards, and integrating governance structures that ensure accountability across teams.

Data quality is the cornerstone of organizational success in today's data-driven landscape. A well-executed data quality program not only mitigates risks but also unlocks unprecedented opportunities for growth and innovation; it’s the backbone of operational excellence, regulatory compliance, and competitive advantage. Organizations that master data quality unlock sharper insights, faster innovation, and measurable ROI, transforming raw information into a strategic asset that fuels smarter decisions and sustainable growth.

The Developing a Data Quality Learning Plan, led by instructor Mark Horseman, equips participants to design and launch data quality programs with precision, blending governance principles, ownership models, and actionable frameworks. Attendees will dissect the anatomy of a data quality program charter, becoming proficient in defining scope, assigning roles, and aligning initiatives with business objectives. Through hands-on exercises, learners will navigate critical components like managing expectations for critical data elements, designing KPIs and scorecards, and integrating governance structures that ensure accountability across teams.

The curriculum provides practical strategies for measuring data quality across dimensions like accuracy, completeness, and timeliness, while providing templates to streamline implementation. Learners will explore how to evaluate vendor solutions, build ROI narratives that resonate with stakeholders, and leverage data quality tools to drive operational efficiency. Upon completion of the learning plan, participants will emerge with the capabilities to diagnose data issues, advocate for quality-driven cultures, and deliver programs that elevate decision-making, reduce risks, and position their organizations as data-driven leaders.

In the Developing a Data Quality Learning Plan you will:

  • Grasp the importance of data quality, how it impacts organizations, and its role in project success.
  • Learn to identify, measure, and improve upon the six core data quality dimensions.
  • Gain skills in creating a Data Quality Program Charter and defining the program's objectives, scope, and metrics for success.
  • Understand key roles and responsibilities within a data quality program, including data owners, data stewards, and data custodians.
  • Learn to demonstrate the return on investment (ROI) for data quality programs through operational efficiency and decision accuracy improvements.
  • Obtain proficiency in managing the data quality improvement lifecycle, including identifying critical data issues and implementing corrective actions (Shewhart/Deming Cycle).
  • Effectively utilize various data quality tools and techniques to prevent and resolve data quality problems.
  • Understand how to design and implement a comprehensive data quality program, incorporating best practices for data governance and communication.
  • Develop the ability to create effective measures, metrics, and scorecards to monitor and improve data quality.
  • Learn how to develop comprehensive data quality reports and dashboards to share with stakeholders.
  • Evaluate and select appropriate data quality tools and solutions to align with your organizational needs.
  • Transform data into a strategic asset by improving data quality, enabling better decision-making, and driving business impact.

Who Should Take This Learning Plan?

This learning plan is designed for professionals who want to lead or participate in data quality initiatives within their organizations. This includes data governance managers, data stewards, IT professionals, business analysts, and project managers seeking to enhance their organization’s data-driven decision-making and improve overall data quality. Ultimately, anyone looking to mitigate risks, improve operational efficiency, and drive strategic growth through better data management will benefit from this comprehensive program.

Learning Plan Price: $419
Individual Course Price: $99
Learning Plan CEUs: 7.5 hours

Each Course Includes:

  • A 28- to 39-minute educational training video
  • A 10- to 13-question exam
  • “Check for Understanding” quizzes after each course section
  • Presentation slides to assist in continued learning
  • Self-paced and on-demand e-learning
  • Unlimited course access
  • Downloadable resources include:
    • Course Slides in .pdf Format
    • Critical Data Element Template
    • Data Quality Charter Template
    • Data Communications Template
    • Vendor Evaluation Template
    • Data Quality Report Card (aka Golf Card)
    • Links and Resources About Data Quality

Courses within the Developing a Data Quality Program Learning Plan:

  1. Foundations of Data Quality
  2. Common Data Quality Dimensions
  3. Chartering a Data Quality Program
  4. Activities in a Data Quality Program
  5. Measuring a Data Quality Program

We offer several bulk licensing options for corporate and group use.

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Developing a Data Quality Learning Plan

Course 1: Foundations of Data Quality

  • Developing a Data Quality Program Learning Plan Overview
  • Developing Data Quality Program Courses Overview
  • Course Purpose and Outcome
    • Course Outline
  • 1.1 Setting Realistic Goals and Critical Data Elements
    • Critical Data Element
      • Critical Data Element Template
  • 1.2 Understanding the Significance of Data Quality
    • 5 Basic Data Quality Examples and How they Affect Business
      • Name Different Things, Different Things
      • Field Overloading
      • Managing the Flow of Data
      • Data Conversion
      • Perception of Data Quality
  • Developing a Data Quality Program – Progress Review
  • About Your Instructor
  • DATAVERSITY Contact Information

Course 2: Common Data Quality Dimensions

  • Developing a Data Quality Program Learning Plan Overview
  • Developing a Data Quality Program Learning Plan Course’s Overview
  • Course Purpose and Outcome
    • Course Outline
  • 2.1 Common Data Quality Dimensions
    • Common Data Quality Dimensions
      • Completeness
      • Uniqueness
      • Timeliness
        • Timeliness – Example
      • Validity
      • Accuracy
      • Consistency
        • Consistency – Example
      • Others
  • Developing a Data Quality Program – Course Review
  • About Your Instructor
  • DATAVERSITY Contact Information

Course 3: Chartering a Data Quality Program

  • Developing a Data Quality Program Learning Plan Overview
  • Developing a Data Quality Program Course’s Overview
  • Course Purpose and Outcome
    • Course Outline
  • 3.1 Roles and Responsibilities in a Data Quality Program
    • Harnessing Data Governance Roles and Responsibilities
    • Types of Data Governance Programs
    • Data Ownership
    • Data Stewards
    • Data Custodians
    • Everybody else!
  • 3.2 Chartering Your Data Quality Program and Showing ROI
  • 3.3 Review of Your Data Quality Program Charter Template
    • Data Quality Program Charter Template
      • Charter – Purpose and Scope
      • Charter – Roles and Responsibilities
      • Charter – Steering Committee
      • Showing and Describing Return on Investment (ROI)
  • Developing a Data Quality Program – Progress Review
  • Instructor Contact Information
  • DATAVERSITY Contact Information

Course 4: Activities in a Data Quality Program

  • Developing a Data Quality Program Learning Plan Overview
  • Developing a Data Quality Program – Course’s Overview
  • Course Purpose and Outcome
    • Course Outline
  • 4.1 Data Quality Improvement Lifecycle
    • Data Quality Management Lifecycle
  • 4.2 Common Causes of Data Quality Issues
    • Data Quality Issues
  • 4.3 Data Quality Tools and Techniques
    • Categories of Techniques
    • Preventive Actions
    • Corrective Actions
      • Corrective Actions Through Data Processing
    • Root Cause Analysis
    • Data Quality Tools: Data Profiling
  • 4.4 Data Quality Activities
    • Design
    • Implement
    • Ten Steps to Quality Data and Trusted Information
  • 4.5 Data Quality Communications
    • Communication and Engagement
    • Data Communications Template
  • 4.6 10-Steps Recap and Your Program Charter
    • Things to Add into Your Program Charter
  • Developing a Data Quality Program – Progress Review
  • About Your Instructor
  • DATAVERSITY Contact Information

Course 5: Measuring a Data Quality Program

  • Developing a Data Quality Program Learning Plan Overview
  • Developing a Data Quality Program – Course’s Overview
  • Course Purpose and Outcome
    • Course Outline
  • 5.1 Designing Measures, Metrics, and Scorecard
    • Introduction
    • Data Quality Report Card
    • Data Quality “Golf Card”
  • 5.2 Data Quality Vendor Solutions
    • Buying a Data Tool: When to Buy – Best Practices
      • Important Things to Evaluate
      • How to Evaluate
    • Vendor Evaluations Template
  • Developing a Data Quality Program – Progress Review
  • About Your Instructor
  • DATAVERSITY Contact Information

Milestone

Complete All Five DDQP Courses


1. DDQP1: Foundations of Data Quality

required
Course

Data quality is the foundation of successful data-driven projects. In this course, instructor Mark Horseman covers core principles of data quality and its impact on organizational success. Participants will learn how to define clear goals, identify critical data elements, and use strategic documentation to drive improvement. The course also explores key roles, governance structures, and practical steps to design and manage effective data quality initiatives that deliver measurable results.

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2. DDQP2: Common Data Quality Dimensions

required
Course

In this course, instructor Mark Horseman breaks down the six core dimensions of data quality—completeness, consistency, uniqueness, accuracy, validity, and timeliness. Learners will explore how each contributes to reliable data and discover practical strategies to improve data quality across their organization. With real-world examples and actionable insights, the course equips participants to spot issues, strengthen data integrity, and support smarter business decisions.

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3. DDQP3: Chartering a Data Quality Program

required
Course

A strong data quality program is key to gaining a competitive edge. In this course, instructor Mark Horseman explores how to build and lead effective programs through clear roles, governance, and strategic planning. Participants will learn to create a data quality program charter, define objectives, and measure success. The course also covers how to demonstrate ROI by linking data quality to improved efficiency and decision-making.

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4. DDQP4: Activities in a Data Quality Program

required
Course

In this course, instructor Mark Horseman guides learners through the Data Quality Improvement Lifecycle and the key phases of the Data Quality Management Cycle: Plan, Deploy, Check, and Act. Participants will explore root causes of data issues, apply proactive tools and strategies, and build frameworks for launching and scaling data quality programs. The course emphasizes collaboration and communication to drive lasting impact and data integrity across the organization.

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5. DDQP5: Measuring a Data Quality Program

required
Course

Turning data into a strategic asset starts with clear measurement. In this course, instructor Mark Horseman introduces a 10-step framework for designing effective metrics, scorecards, and dashboards. Learners will explore KPIs, OKRs, and key data elements, evaluate data quality tools, and build programs that support accountability, transparency, and business impact.

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ENROLL IN THIS LEARNING PLAN TODAY

$419.00


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