Description

Introduction

This training combines project management principles aligned with the Project Management Professional (PMP) framework with business analytics techniques. Participants learn to define project objectives, analyze business data, manage stakeholders, monitor performance, and use data-driven insights to support project decisions.

Prerequisites

1. Basic understanding of project management concepts.

2. Familiarity with business processes and organizational objectives.

3. Basic knowledge of spreadsheets and data analysis is recommended.

4. Prior project coordination or business analysis experience is beneficial but not mandatory.

Recommended Training Duration

1. Beginner: 5 days

2. Intermediate: 7 days

3. Advanced: 8 days

4. Enterprise: 10 days, including practical exercises and a capstone project

Training Lab Setup Specifications

1. Computer with Windows, macOS, or another supported operating system.

2. Stable internet connection for online learning and research.

3. Spreadsheet software such as Microsoft Excel or an equivalent tool.

4. Presentation and documentation software for project reports.

5. Access to a project management tool, such as Microsoft Project or an equivalent platform.

6. Sample business datasets for analysis and reporting exercises.

7. Calculator and access to project templates, KPI dashboards, and case studies.

TABLE OF CONTENTS

Module 1: Fundamentals of Project Management and Business Analytics

1.1 Project Management Overview

1.1.1 Project management principles and terminology

1.1.2 Project life cycles and delivery approaches

1.1.3 Predictive, Agile, and hybrid project environments

1.2 Introduction to Business Analytics

1.2.1 Types of business analytics: descriptive, diagnostic, predictive, and prescriptive

1.2.2 Role of data in project planning and decision-making

1.2.3 Connecting project objectives with business outcomes

Module 2: Business Requirements and Project Initiation

2.1 Identifying Business Needs

2.1.1 Defining business problems and project objectives

2.1.2 Identifying stakeholders and their expectations

2.1.3 Gathering and documenting business requirements

2.2 Developing the Project Foundation

2.2.1 Preparing the project charter and business case

2.2.2 Defining scope, deliverables, and success criteria

2.2.3 Assessing feasibility, assumptions, and constraints

Module 3: Project Planning and Analytical Techniques

3.1 Developing the Project Management Plan

3.1.1 Creating a work breakdown structure

3.1.2 Estimating resources, costs, and timelines

3.1.3 Developing milestones and project schedules

3.2 Applying Analytics to Project Planning

3.2.1 Using historical data for estimation

3.2.2 Analyzing dependencies and resource utilization

3.2.3 Evaluating project scenarios and planning alternatives

Module 4: Data Collection, Preparation, and Analysis

4.1 Collecting and Preparing Business Data

4.1.1 Identifying internal and external data sources

4.1.2 Cleaning, validating, and organizing datasets

4.1.3 Addressing data quality and consistency issues

4.2 Analyzing Project and Business Data

4.2.1 Applying descriptive statistics and trend analysis

4.2.2 Using variance analysis to identify deviations

4.2.3 Interpreting findings for project decisions

Module 5: Scope, Schedule, and Cost Management

5.1 Managing Project Scope and Schedule

5.1.1 Establishing scope baselines and managing changes

5.1.2 Monitoring schedules and critical path activities

5.1.3 Analyzing delays and schedule variances

5.2 Managing Budgets and Project Performance

5.2.1 Estimating and controlling project costs

5.2.2 Applying earned value management concepts

5.2.3 Using cost and schedule performance indicators

Module 6: Risk Management and Predictive Analytics

6.1 Identifying and Assessing Project Risks

6.1.1 Creating and maintaining a risk register

6.1.2 Performing qualitative and quantitative risk analysis

6.1.3 Evaluating probability, impact, and risk exposure

6.2 Using Analytics for Risk Forecasting

6.2.1 Analyzing historical risk patterns

6.2.2 Applying scenario analysis and forecasting techniques

6.2.3 Developing mitigation plans and contingency strategies

Module 7: Stakeholder, Team, and Communication Management

7.1 Managing Stakeholders and Teams

7.1.1 Analyzing stakeholder influence and engagement

7.1.2 Defining roles, responsibilities, and accountability

7.1.3 Supporting collaboration and conflict resolution

7.2 Data-Driven Project Communication

7.2.1 Preparing project status reports

7.2.2 Presenting analytical findings to stakeholders

7.2.3 Using dashboards and visualizations for communication

Module 8: Business Intelligence, KPIs, and Project Dashboards

8.1 Defining Project Performance Indicators

8.1.1 Selecting KPIs aligned with business objectives

8.1.2 Establishing baselines, targets, and thresholds

8.1.3 Monitoring productivity, quality, cost, and delivery

8.2 Building Project Performance Dashboards

8.2.1 Organizing project data for reporting

8.2.2 Creating charts, scorecards, and trend visualizations

8.2.3 Interpreting dashboard insights for corrective action

Module 9: Agile Project Management and Business Analytics

9.1 Applying Agile Principles

9.1.1 Understanding Scrum, Kanban, and iterative delivery

9.1.2 Managing backlogs, user stories, and sprint objectives

9.1.3 Measuring team progress and delivery performance

9.2 Analytics in Agile Environments

9.2.1 Interpreting velocity and burndown charts

9.2.2 Analyzing cycle time and throughput

9.2.3 Using feedback and metrics for continuous improvement

Module 10: Quality Management and Process Improvement

10.1 Managing Project Quality

10.1.1 Defining quality standards and acceptance criteria

10.1.2 Monitoring defects, rework, and deliverable quality

10.1.3 Conducting quality reviews and performance assessments

10.2 Improving Business Processes

10.2.1 Identifying process bottlenecks and inefficiencies

10.2.2 Applying root cause analysis techniques

10.2.3 Recommending improvements based on analytical evidence

Module 11: Project Governance, Compliance, and Change Control

11.1 Project Governance and Accountability

11.1.1 Understanding governance structures and decision rights

11.1.2 Maintaining project documentation and audit trails

11.1.3 Monitoring compliance with organizational policies

11.2 Managing Change and Project Decisions

11.2.1 Evaluating change requests and business impacts

11.2.2 Assessing the effect of changes on scope, cost, and schedule

11.2.3 Using evidence-based decision-making methods

Module 12: Project Closure and Business Benefits Realization

12.1 Closing Project Activities

12.1.1 Verifying deliverables and obtaining acceptance

12.1.2 Managing handover, documentation, and closure reports

12.1.3 Recording lessons learned and improvement opportunities

12.2 Evaluating Business Outcomes

12.2.1 Measuring benefits against project objectives

12.2.2 Comparing planned and actual project performance

12.2.3 Preparing recommendations for future initiatives

Module 13: Practical Capstone Project and Assessment

13.1 Developing an Analytics-Driven Project Plan

13.1.1 Selecting a business case and defining project objectives

13.1.2 Preparing schedules, budgets, risks, and KPIs

13.1.3 Analyzing sample data and creating a project dashboard

13.2 Presenting Project Findings

13.2.1 Evaluating project performance using analytical metrics

13.2.2 Recommending corrective actions and improvements

13.2.3 Presenting the final project report and lessons learned

Conclusion

By the end of this training, participants will understand how to combine project management practices with business analytics to support planning, risk assessment, performance monitoring, stakeholder communication, and business benefits realization.

Please Visit Microsoft BI Official Site: || Locus Academy ha s more than a decade experience in delivering the training/staffing on Project Management Professional (PMP) in Business Analytics for corporates across the globe. The participants for the training/staffing on Project Management Professional (PMP) in Business Analytics are extremely satisfied and are able to implement the learnings in their on going projects.

Other useful references

Reference1

Reference2