The Data Quality Accelerator: Actionable Steps to Program Success is a two-day, live online workshop designed to help you develop or refine a data quality program that is actionable, measurable, and sustainable.

Led by instructor Mark Horseman, industry-recognized expert in data strategy, governance, and quality, this course explores the principles, frameworks, and hands-on techniques required to turn data quality from an abstract goal into a practical business capability. You’ll learn how to connect data quality with data governance and ownership, build engagement across your organization, and align quality initiatives with business objectives and outcomes.

Over two focused days, you’ll explore:

• The fundamentals of data quality and why it matters to analytics, AI, and decision-making
• How to charter and launch a successful data quality program
• Ways to define and measure return on investment (ROI)
• The ten steps to trusted information and how to apply them in your organization
• The common dimensions of data quality (accuracy, completeness, consistency, validity, and timeliness)
• How to design metrics, scorecards, and dashboards that make program performance visible
• How to evaluate vendor tools and purchase solutions and when not to rely on them

The Data Quality Accelerator emphasizes interactive participation and applied outcomes. You’ll work through group discussions and breakout exercises using real organizational examples, building templates for your data quality charter, communications plan, and measurement framework.

By the end, you’ll leave with a toolkit of ready-to-implement resources, including:

• A data quality program charter
• A critical data element template
• A metrics and reporting framework
• A vendor evaluation worksheet
• A data quality scorecard

This course is designed for both business and technical professionals who want to operationalize data quality and demonstrate its business value in measurable terms.

Program Highlights

During this two-day accelerator, you’ll:

• Learn how to charter and launch a data quality program
• Apply data governance roles and responsibilities to your quality framework
• Connect data quality to business strategy and ROI
• Review common data quality dimensions and when to measure them
• Build data quality metrics and dashboards for performance tracking
• Explore best practices for evaluating and integrating data quality tools
• Participate in breakout exercises and group discussions that translate theory into action

By the End of This Course, You’ll Be Able To:

• Explain the connection between data governance and quality
• Design and communicate a data quality program charter
• Define and measure critical data elements for accuracy and completeness
• Build scorecards and dashboards to visualize data quality results
• Quantify and communicate the ROI of your quality initiatives
• Evaluate purchased data quality solutions effectively

How the Course Works

This two-day live, online workshop combines lectures, interactive discussions, and applied breakout sessions led by Mark Horseman. Each session builds practical understanding while guiding you through templates and real-world use cases you can immediately adapt for your organization.

During the live sessions, you’ll experience:

• Instructor-led lectures and real-world data quality case studies
• Interactive Q&A and guided discussions
• Hands-on breakout exercises and group projects
• Program charter and scorecard templates to take back to your organization
• Access to all recordings, materials, and resources after the course

You’ll participate through the DATAVERSITY Training Center (DVTC) and Zoom, which together provide seamless access to all course materials and live sessions.

Start your training in the DVTC platform:

• Log in at DATAVERSITY Training Center to access your dashboard, syllabus, and daily agenda.
• On the day of training, click “Join Now” to launch the live Zoom session.
• Use the platform to take notes, download slides, and connect with your peers in the class forum.

Schedule:

• Dates: Wednesday–Thursday, September 30 – October 1, 2026
• Time: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific
• Length: 2 Days
• CEUs: 12

Pricing:

• $600 Early Bird (through September 11, 2026)
• $750 Regular Price (after September 11, 2026)

Registration Deadline: Monday, September 28, 2026

Why Choose the Data Quality Accelerator

• Led by Mark Horseman, Data Evangelist, CDMP Master, and conference presenter
• Built around actionable templates and frameworks for immediate organizational use
• Connects governance, ownership, and literacy to data quality success
• Focuses on ROI, business alignment, and program measurement
• Designed to create tangible, ready-to-use deliverables in just two days

Is This Course Right for You or Your Team?

This course is ideal for:

• Data quality and governance practitioners building or improving quality programs
• Business and IT professionals responsible for reporting accuracy, analytics, or regulatory data
• Managers, architects, and analysts working to align data with organizational goals
• Teams looking for a structured, hands-on framework for implementing quality initiatives

No prior data quality experience is required, only a desire to build confidence, consistency, and value in your organization’s data.

Private Team Training

Organizations can schedule private sessions or group enrollments to tailor this accelerator to their data quality goals. Team packages include instructor guidance, breakout discussions, and post-training access to templates and recordings.

Contact us to explore corporate training options or bulk licensing.

Backed by Industry Leaders

Delivered through the DATAVERSITY Training Center (DVTC), this course bridges data governance and data quality to help professionals deliver business-ready, trusted data.

It forms part of DATAVERSITY’s growing portfolio of Bootcamps, Intensives, Accelerators—practical, immersive training experiences that help organizations operationalize modern data practices.