Duration: 2 days
Overview: Project management is an in-depth skill that is required in all aspects of business. Analytics projects have their own particular specialities demanding an analytics-oriented project management approach. This course describes good general project management practice and methodologies. It then focuses on providing the scaffolding for analytics project management specifically. This course provides a ‘how to’ guide for those who will need to be actively involved in managing the project, as opposed to a general introduction for those who are building analytics teams (which is provided in our ‘Analytics for Managers’ course).
Objectives: At completion, delegates will be ready to effectively manage the use of analytics to extract actionable insight from data at their organisations. They will also be able to implement best-practice in building analytics teams and managing their projects.
Who: This course is aimed at technical managers and project managers who are tasked with running analytics projects within their organisations or for client organisations.
Pre-requisites: A sound understanding of data analytics and its applications is assumed. For an introduction to building analytics teams and understanding analytics projects, please see the ‘Analytics for Managers’ course.
Outline: The course will explore the following topics through a series of interactive workshops.
- Introduction to methodologies
- Business understanding phase
- Data understanding phase
- Data preparation phase
- Modelling phase
- Validation phase
- Deployment phase
- Analytics goals and defining ‘success’
- Stakeholders, skillsets, requirements gathering
- Scope, tasks, deliverables, dependencies and scheduling
- Risks and contingencies
- Executing a project
- Initial assessment of analytics tools and techniques
- Documentation and communication