Training & Team Building

The core philosophy of MG Harney is to give you the ability to validate and test data yourself. So, we created a range of professional classes and skill building workshops based on the essential skills necessary to be effective in the planning, design and execution of data testing. We offer different team-building approaches including seminars and traditional classes, as well as specialized productivity workshops to help your team hit the ground running.

Not all needs are alike, so MG Harney constructs education and training programs to meet your goals.

Productive Team Workshops

MG Harney developed a workshop approach specifically adapted to the team’s project objectives. Through these workshops, the team receives the benefits of skills training while jumpstarting work on their deliverables. Working with you, we establish specific project objectives and training goals then align our workshop to meet your needs. Workshops focus on specific project deliverables while building team skills.

	In-House Data Reliability Assessments
	Data Test Planning and Management
	Designing Data Tests with UML Models
	Skills Development – Special Topics

You select Special Topics based on your own team’s training needs. Topics can include test designs, data analysis & checks, modeling and automation.

Management Seminar Series

The Management Seminar Series are professional seminars designed to help management understand the dangers of data integrity and the need for an applied test approach. Through this series, testing and QA managers learn how to approach and successfully implement data testing methods within their organizations. These seminars are typically 1 to 2 days and offered in both public and private venues.

	Data and Integration Technology Summary for Testers
	Creating the Cornerstone for Data Integrity
	Data Test Management Process
	Model-Based Data Testing
	Automation Strategies

Skill Building Classes

Skill building classes are a cost effective resource for public, semi-private and in-house training.  Classes improve data integration testing skills, covering primary skills and information for effective data testing. Class sizes are small to create a connection between the materials and your specific circumstances.

	Data Reliability Assessments
	Data Test Planning and Management
	Designing Data Tests with UML Models
	SQL, Data Modeling and Analysis for Testers