Software Data Analysis: Project Management Metrics

Software Data Analysis: Project Management Metrics

• discover the key concepts covered in this course
• compare the benefits and features of traditional project management against Agile project management
• describe useful software project management data analysis metrics and how they can be effectively used to monitor and control the project
• describe useful Agile project management data analysis metrics and how they can be effectively used to monitor and control the Agile project
• describe Agile team metrics and how to effectively use them for continuous self-improvement
• describe real-time data metrics and how they can be used to feed the decision making process
• identify how to select meaningful software project metrics and describe why some metrics have minimal value
• describe the benefits of using software metrics and how to monitor and track them
• identify some of the pitfalls encountered when using software project metrics and how to avoid them
• identify the key Agile metrics that are useful for measuring project success
• identify meaningful metrics useful for measuring continuous development and delivery
• identify the types of software project management tools and how they relate to project management
• configure and use JIRA to manage software projects and use the dashboard to monitor the software project
• summarize the key concepts covered in this course

Explore the differences between traditional and Agile software project management. Discover how to use real-time data metrics for command, control, and decision making. Examine the role metrics play in monitoring teams and continuous development, the role of software project management tools, and how to use JIRA to manage software projects.