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Data Governance Bootcamp

A TDWI Certificate Track

Virtual Classroom
March 25–27, 2024
9:00am – 5:00pm CT

Deanne Larson, Ph.D.

Deanne Larson, Ph.D.

Larson & Associates

Evan Levy

Evan Levy

Integral Data, LLC

Developing a comprehensive data governance program is a critical step on the path to delivering business value from your data, ensuring you maximize value and minimize risk. From establishing your governance program to managing data quality challenges to meeting regulatory and compliance requirements, you must carefully consider every facet of your data management programs and balance the needs of business data consumers, BI and analytics teams, and machine learning and AI developers.

Stepping up to the challenges of modern data governance isn’t easy. It demands an understanding of business processes, BI and analytics processes, machine learning and AI initiatives, and data management principles and practices, as well as the ability to continuously adjust to constantly changing data resources. This three-day series is designed specifically to provide the foundational knowledge you need. Clearly define your frameworks for success, accelerate your data governance practice, and improve your data quality skills with an engaging, high-impact learning experience at the TDWI Data Governance Bootcamp.

Register today for TDWI's Data Governance Bootcamp seminar.

Attend all three days and earn a certificate.

  • Monday, March 25

    TDWI Data Governance Principles and Practices: Managing Data as an Asset

    View Full Course Abstract

    Data is a critical resource for every organization. We depend on data every day to keep records, produce reports, deliver information, monitor performance, and make decisions. Data assets power BI dashboards, self-service analytics, data science projects, AI and machine learning, and more. The data resource is on par with financial and human resources as a core component of doing business, yet data management practices are often quite casual and unstructured. Data governance brings the same level of discipline and structure to data management as is typical when managing financial and human resources.

    Building a data governance program is a complex process that focuses people, processes, policies, rules, and regulations on achieving specific goals for a managed data resource. Successful and effective data governance depends on achieving the right balance between control-oriented and collaborative governance to address the often conflicting needs of enterprise data management, self-service, agile development, big data, and cloud deployments.

  • Tuesday, March 26

    TDWI Data Quality Management: Techniques for Data Profiling, Assessment, and Improvement

    View Full Course Abstract

    Data quality is one of the most difficult challenges for nearly every business, data management program, and BI and analytics team. Data resources power enterprise reporting, BI dashboards, self-service analytics, data science efforts, AI and machine learning, and more. The most common approach to data quality problems is reactive—a process of fixing problems when they are discovered and reported. But reactive data quality methods are not quality management; they are simply quality maintenance—a never-ending cycle of continuously fixing defects but rarely removing the causes. The only proven path to sustainable data quality is through a comprehensive quality management program that includes data profiling, data quality assessment, root cause analysis, data cleansing, and process improvement.

  • Wednesday, March 27

    Building Your Company’s Data Governance Roadmap

    View Full Course Abstract

    Data governance success relies upon a strategy and roadmap that improves data and delivers business value. In this course, you will learn to build a successful data governance strategy that identifies an agenda, engages with team members, and prioritizes activities focused on fixing problems to streamline and simplify data usage.

    In this class, Evan Levy will review the business drivers for a data governance program and show you how to identify and prioritize program goals and objectives, identify teams and team members (along with their roles and responsibilities), and identify an agenda and process that delivers business value.

Pricing

  3-Day Training 2-Day Training 1-Day Training
Super Early Bird Discount Save 20% by Feb 9 $1,840 $1,465 $835
Early Bird Discount Save 10% by Mar 1
 $2,070 $1,650 $935
Regular Registration Mar 2 - 22 $2,300 $1,830 $1,040

Discounts

  • Early Bird Discounts

    Receive a 20% discount if you register by Feb 9.
    Receive a 10% discount if you register by Mar 1.

  • Member Discount

    Receive a 10% discount on your registration. Membership status will be validated when your registration is processed.

  • Team Discounts

    Teams of 3–9 people save 10% by using code TEAM. Groups of 10 or more will save 20% with code TEAM20.

REFUND AND CANCELLATION: You may substitute one person in your place by contacting [email protected] at least five business days prior to the event. If you must cancel all or part of your registration, your refund request must be sent to [email protected] no later than March 8, 2024. Your fee will be returned, less a 20% cancellation fee. No refunds will be issued after March 8, 2024.

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Data Governance Bootcamp

March 25–27, 2024