Project Management for Analytics
This course covers principles and concepts of project management in concert with the needs of analytics projects. Traditional techniques are presented and discussed within the context of the Project Management Body of Knowledge (PMBOK) and agile project management best practices are covered. Concepts covered include process groups from initiation through closure; techniques for estimating and reporting; and management of risk, quality, resources, and communications. The dynamic nature of analytics projects, which include data warehouse implementations and business intelligence solutions, are characterized by uncertain or changing requirements and high implementation risks.
At the end of this course, students will be able to:
Write a clear, concise project charter document to launch a project.
Create a complete work breakdown structure to organize, define, and graphically display the work to be accomplished to achieve the objectives of a project.
Understand the drivers of business performance across a broad set of functional areas, including marketing, sales and operations.
Apply appropriate project management techniques based upon the size and scope of the project; organizational structure, maturity, and culture; and procurement needs.
Explain the use of intelligent experimentation and the smart use of information technology.
Learn to establish baseline standards and requirements – by type of data strategy & analytics service/project – and apply these standards through initial scheduling and change control processes throughout projects.