Illya Mowerman, Ph.D.
Creating a detailed project plan is crucial for the success of any consulting engagement. This guide will walk you through the key steps to develop a comprehensive project plan, similar to the one created for BAC Industries’ data analytics project.
Start with a high-level summary of the project:
Example:
Client: BAC Industries
Project: Data Analytics Consulting Services for Supply Chain Optimization
Duration: 24 weeks (6 months)
Objective: Improve demand forecasting accuracy by 20% and reduce inventory carrying costs by 15%
Create a detailed timeline with phases and deliverables:
Example:
| Phase | Duration | Weeks | Key Deliverables |
|---|---|---|---|
| Discovery and Planning | 2 weeks | 1-2 | Project charter, detailed requirements document |
| Data Integration and Modeling | 8 weeks | 3-10 | Integrated data warehouse, predictive models |
| Dashboard Development | 6 weeks | 11-16 | Interactive Power BI dashboard |
| Testing and Refinement | 4 weeks | 17-20 | Test reports, refined models and dashboard |
| Training and Handover | 4 weeks | 21-24 | Training workshops, user guides, final presentation |
It’s always a plus to add a graph. In this case, a Gantt chart is appropriate.
I create Gantt charts in R using ggplot2, but this is a
personal preference. This type of chart does not need any specific
software. It can be easily created by combining shapes in MS
PowerPoint.
Provide a detailed breakdown of tasks within each phase:
Example for the Discovery and Planning phase:
1. Conduct kick-off meeting (1 day)
2. Gather and analyze requirements (3 days)
3. Develop project charter (2 days)
4. Create detailed project plan (3 days)
5. Identify key stakeholders (1 day)
Outline the project budget and payment schedule:
Example:
Total Budget: $450,000
Breakdown:
- Professional Services: $400,000 (88.9%)
- Software Licenses: $30,000 (6.7%)
- Travel and Expenses: $20,000 (4.4%)
Payment Schedule:
- 25% upon project initiation: $112,500
- 25% at midpoint (Week 12): $112,500
- 50% upon project completion: $225,000
Plan how to manage and allocate project resources:
Example:
1. Sarah Johnson, Ph.D. - Lead Data Scientist
- Responsibilities: Overall project leadership, advanced analytics, model development
- Time Allocation: 100% throughout the project
2. Michael Chen, M.S. - Supply Chain Analytics Specialist
- Responsibilities: Supply chain optimization, inventory management algorithms
- Time Allocation: 100% during Phases 2-4, 50% during Phases 1 and 5
[Additional team members...]
Resource Management Strategies:
- Weekly team meetings
- Bi-weekly progress reports
- Use of project management software
- Regular check-ins with client stakeholders
- Flexible resource allocation for unforeseen challenges
Identify potential risks and plan mitigation strategies:
Example:
1. Data Quality Issues
- Mitigation: Thorough data profiling and cleansing in early stages
2. Scope Creep
- Mitigation: Clear definition of project boundaries, change control process
3. Technology Compatibility
- Mitigation: Early assessment of client's IT infrastructure, contingency plans for integration challenges
4. Knowledge Transfer
- Mitigation: Comprehensive documentation, hands-on training sessions, post-project support plan
Establish how project progress will be communicated:
Define how quality will be maintained throughout the project:
Consider using agile methodology for the project. This can not only
help with communications and quality assurance, but will govern these
key aspects of the project. In addition, it will help with
Scope Creep.
Although thought of for software development, it is an excellent frame of mind for any project.
This will be reviewed in a future class.
For a brief overview, see: https://en.wikipedia.org/wiki/Agile_software_development
A well-structured project plan is key to success. It ensures clear understanding of project goals and timeline, facilitates effective resource management, helps in identifying and mitigating risks early, and provides a roadmap for project execution and monitoring.
Remember to review and update the plan regularly throughout the project lifecycle to ensure it remains relevant and effective.