Real Enterprise Project Example

1. Project Name

Project Name: Enterprise IT Service Request Management System

This system allows employees to raise IT service requests, managers to approve selected requests, IT support teams to process tickets, and leadership teams to monitor service performance through Power BI dashboards.

Simple Project Idea: Build a digital IT request system where employees can submit requests, approvals are automated, IT teams can track work, and management can view reports.

2. Business Problem

In many organizations, IT requests are handled through emails, Excel trackers, Teams messages, or manual ticket lists. This creates confusion because requests may be lost, approvals may be delayed, and management may not have clear visibility into service performance.

Current Manual Process Problems

Employees send IT requests through email or chat.
IT support teams manually track requests in Excel.
Managers approve requests through email without a standard process.
Employees do not know the current status of their requests.
IT teams may miss urgent or high-priority requests.
There is no centralized dashboard for service performance.
Management cannot easily track pending, completed, or delayed requests.
Historical request data is difficult to analyze.

Because of these issues, the organization wants a centralized digital solution that can manage request submission, approval, assignment, resolution, notification, and reporting.

3. Project Objective

The main objective of this project is to create a complete IT request management solution using Microsoft Power Platform.

Objective	Explanation
Digital Request Submission	Employees should submit IT requests through a Power Apps interface.
Centralized Data Storage	All request data should be stored securely in Dataverse.
Approval Automation	Selected request types should go to managers for approval using Power Automate.
Ticket Assignment	IT support team members should be assigned to requests.
Status Tracking	Employees should be able to check whether their request is submitted, approved, in progress, resolved, or rejected.
Notifications	Users should receive email or Teams notifications when request status changes.
Power BI Reporting	Management should view dashboards for request volume, SLA, pending tickets, and team performance.

4. Stakeholders

A successful enterprise project requires clear stakeholder identification. Each stakeholder has a different role in the solution.

Stakeholder	Role in Project	Expected Benefit
Employee	Submits IT service requests.	Can raise requests easily and track status.
Manager	Approves selected requests.	Can approve or reject requests quickly.
IT Support Agent	Works on assigned tickets.	Can manage requests in a structured way.
IT Support Lead	Assigns tickets and monitors workload.	Can track team performance and pending work.
Business Owner	Approves business requirements and final solution.	Gets a controlled and measurable process.
Power Platform Developer	Builds app, flows, Dataverse tables, and reports.	Delivers technical solution.
Administrator	Manages environments, security, and deployment.	Ensures governance and production readiness.

5. Scope of the Project

Defining scope is very important because it clearly identifies what will be included and what will not be included in the first version of the project.

5.1 In Scope

Employee request submission app.
Request category selection.
Manager approval for selected request types.
IT ticket assignment.
Status tracking.
Email or Teams notifications.
Dataverse-based data storage.
Power BI dashboard for IT leadership.
Role-based access control.
Testing and deployment across environments.

5.2 Out of Scope for First Version

AI-based ticket auto-resolution.
Integration with advanced ITSM systems.
Automatic asset procurement from external vendors.
Chatbot-based support assistant.
Complex SLA penalty calculation.
Mobile offline mode.

6. Functional Requirements

Functional requirements describe what the system should do. These requirements are directly related to user actions and business features.

Requirement ID	Requirement	Priority
FR-001	Employee should be able to submit a new IT request.	High
FR-002	Employee should select request category and priority.	High
FR-003	System should save request data in Dataverse.	High
FR-004	Some request types should require manager approval.	High
FR-005	Manager should approve or reject requests.	High
FR-006	IT support lead should assign tickets to support agents.	High
FR-007	Support agent should update ticket status and resolution comments.	High
FR-008	Employee should receive notification when status changes.	Medium
FR-009	Power BI dashboard should show request volume, status, and SLA summary.	Medium

7. Non-Functional Requirements

Non-functional requirements describe how the system should perform, behave, and operate.

Requirement Area	Requirement
Performance	App should load quickly and display only required records.
Security	Users should access only data allowed by their role.
Usability	App should be simple and easy for non-technical employees.
Scalability	Solution should support future request categories and reporting needs.
Maintainability	Apps, flows, and tables should use proper naming conventions and documentation.
Availability	Production solution should be stable for daily business operations.

8. Tool Selection for the Project

Based on requirements, the following Power Platform tools are selected for this project.

Requirement	Selected Tool	Reason
Employee request submission	Power Apps Canvas App	Provides custom form-based user experience.
Structured data storage	Dataverse	Supports secure tables, relationships, roles, and enterprise data design.
Approval process	Power Automate	Automates approval, notification, and status update logic.
Ticket management	Model-driven App or Canvas App Admin Screen	Allows IT team to manage records efficiently.
Reporting and analytics	Power BI	Provides dashboards, KPIs, trends, and management insights.
Deployment	Solutions and Power Platform Pipelines	Supports controlled movement between environments.

9. High-Level Solution Architecture

The solution architecture explains how different components work together.

Employee opens Power Apps and submits an IT service request.
Request details are stored in Dataverse.
Power Automate checks whether approval is required.
If approval is required, manager receives approval request.
If approved, ticket is assigned to IT support team.
Support agent updates ticket progress and resolution details.
Employee receives notifications during important status changes.
Power BI reads Dataverse data and displays dashboards.

Architecture Summary: Power Apps is the user interface, Dataverse is the database, Power Automate is the workflow engine, and Power BI is the reporting layer.

10. Dataverse Database Design

Dataverse is used as the central database for the project. The database stores request information, users, categories, approvals, assignments, comments, and SLA data.

10.1 Tables Required

Table Name	Purpose	Table Type
Employee	Stores employee details.	Master
Department	Stores department information.	Master
Request Category	Stores categories such as Hardware, Software, Access, Network, and Account Support.	Master
IT Service Request	Stores main request details submitted by employees.	Transaction
Approval History	Stores approval decisions and comments.	Transaction
Ticket Assignment	Stores assigned support agent and assignment date.	Transaction
Resolution Comment	Stores support comments and resolution notes.	Transaction
SLA Configuration	Stores SLA target based on priority or request category.	Configuration

10.2 Main Columns for IT Service Request Table

Column Name	Data Type	Purpose
Request Number	Autonumber	Unique tracking number such as ITREQ-0001.
Requested By	Lookup	Connects request to employee.
Department	Lookup	Stores employee department.
Request Category	Lookup	Stores selected request category.
Request Title	Single Line of Text	Short title of the request.
Description	Multiple Lines of Text	Detailed explanation of the request.
Priority	Choice	Low, Medium, High, Critical.
Status	Choice	Draft, Submitted, Pending Approval, Approved, Assigned, In Progress, Resolved, Rejected, Closed.
Approval Required	Yes/No	Defines whether manager approval is required.
Assigned Agent	Lookup	Stores assigned IT support person.
Submitted Date	Date and Time	Stores request submission date and time.
Resolved Date	Date and Time	Stores request resolution date and time.

10.3 Relationships

Relationship	Type	Meaning
Department to Employee	One-to-Many	One department can have many employees.
Employee to IT Service Request	One-to-Many	One employee can submit many requests.
Request Category to IT Service Request	One-to-Many	One category can be used in many requests.
IT Service Request to Approval History	One-to-Many	One request may have approval history records.
IT Service Request to Resolution Comment	One-to-Many	One request may have multiple support comments.

11. Power Apps Design

Power Apps is used to create the user interface. The application should be simple enough for employees and powerful enough for support teams.

11.1 Employee App Screens

Screen	Purpose	Main Features
Home Screen	Welcome screen for employees.	Create request, view my requests, check status.
New Request Screen	Submit new IT request.	Category, priority, title, description, attachment.
My Requests Screen	View submitted requests.	Gallery with search and status filter.
Request Details Screen	View full request details.	Status, comments, assigned agent, resolution summary.
Feedback Screen	Give feedback after request closure.	Rating and comments.

11.2 IT Support App Screens

Screen	Purpose	Main Features
Ticket Dashboard	Shows assigned and open tickets.	Status filter, priority filter, assigned agent view.
Ticket Assignment Screen	Allows support lead to assign tickets.	Select agent, set priority, update status.
Ticket Work Screen	Allows support agent to work on ticket.	Add comments, update status, mark resolved.
Configuration Screen	Admin manages categories and SLA configuration.	Add category, update SLA, enable or disable category.

11.3 Important App Validations

Request title should not be blank.
Request category should be mandatory.
Priority should be selected.
Description should contain enough details.
Critical requests should require additional justification.
Resolved tickets should require resolution comments.
Closed tickets should not be editable by employees.

12. Power Automate Flow Design

Power Automate is used to automate approvals, notifications, assignments, reminders, and status updates.

12.1 Main Flows Required

Flow Name	Trigger	Purpose
Request Submission Flow	When a new request is created in Dataverse.	Checks category and updates initial status.
Manager Approval Flow	When request requires approval.	Sends approval request to manager.
Ticket Assignment Notification Flow	When ticket is assigned to support agent.	Notifies assigned IT support agent.
Status Update Notification Flow	When ticket status changes.	Sends update to employee.
SLA Reminder Flow	Scheduled flow.	Sends reminder for pending or delayed tickets.
Closure Feedback Flow	When ticket is resolved or closed.	Requests feedback from employee.

12.2 Approval Logic

Employee submits request.
Flow checks request category.
If approval is not required, status changes to Submitted or Assigned.
If approval is required, status changes to Pending Approval.
Manager receives approval request.
If approved, status changes to Approved and ticket moves to IT queue.
If rejected, status changes to Rejected and employee receives notification.

12.3 Notification Scenarios

Event	Receiver	Notification Message Purpose
Request submitted	Employee	Confirm request submission.
Approval required	Manager	Ask manager to approve or reject.
Request approved	Employee and IT Support Lead	Inform that request can proceed.
Ticket assigned	Support Agent	Inform agent about assigned ticket.
Ticket resolved	Employee	Inform employee that issue is resolved.
SLA risk detected	Support Lead	Inform lead that ticket may be delayed.

13. Power BI Dashboard Design

Power BI is used to create management dashboards and operational reports. The dashboard helps IT leaders monitor ticket volume, workload, SLA, and service quality.

13.1 Dashboard Pages

Dashboard Page	Purpose	Example Visuals
Executive Summary	High-level overview of IT requests.	Total requests, open tickets, resolved tickets, pending approvals.
Request Category Analysis	Analyze requests by category.	Bar chart, donut chart, category trend.
SLA Monitoring	Track SLA compliance and delayed tickets.	SLA met count, SLA breached count, average resolution time.
Agent Workload	Monitor support team workload.	Tickets by agent, open workload, resolved count.
Department View	Analyze requests by department.	Department-wise request count and trend.
Feedback Analysis	Track employee satisfaction.	Average rating, feedback comments, satisfaction trend.

13.2 Important KPIs

Total Requests
Open Tickets
Pending Approvals
Resolved Tickets
Rejected Requests
Average Resolution Time
SLA Met Percentage
SLA Breached Count
Tickets by Category
Tickets by Agent
Employee Satisfaction Rating

14. Security Design

Security is very important because request data may contain employee information, business system access details, and internal IT process information.

User Role	Access Requirement
Employee	Can create requests and view only own requests.
Manager	Can approve or reject requests from team members.
IT Support Agent	Can view and update tickets assigned to them.
IT Support Lead	Can view all tickets and assign work to agents.
HR or Business Viewer	Can view summarized reports if required.
System Admin	Can manage app configuration, tables, flows, and security.

Security Principle: Users should get only the minimum access required to perform their work. This is called the least privilege principle.

15. End-to-End Process Flow

The following flow shows how the complete system works from request submission to reporting.

Employee opens the IT Service Request App.
Employee selects request category and enters request details.
Power Apps validates mandatory fields.
Request is saved in Dataverse.
Power Automate checks whether approval is required.
If approval is required, manager receives approval request.
Manager approves or rejects the request.
If approved, ticket is routed to IT support queue.
IT support lead assigns ticket to support agent.
Support agent works on the ticket and updates status.
Employee receives notifications during status changes.
Support agent resolves the ticket.
Employee provides feedback.
Power BI dashboard displays updated metrics.

16. Testing Plan

Testing ensures that the solution works correctly before production deployment.

16.1 Sample Test Cases

Test Case ID	Scenario	Expected Result
TC-001	Employee submits request with valid data.	Request is created in Dataverse.
TC-002	Employee submits request without mandatory fields.	Validation message is shown.
TC-003	Request requires manager approval.	Approval flow starts and manager receives request.
TC-004	Manager approves request.	Status changes to Approved.
TC-005	Manager rejects request.	Status changes to Rejected and employee receives notification.
TC-006	Support lead assigns ticket.	Assigned agent is updated and receives notification.
TC-007	Power BI dashboard refreshes.	Report shows updated request data.
TC-008	Employee tries to view another employee's request.	Access is denied or record is not visible.

17. Deployment Strategy

The solution should be deployed using a controlled ALM approach. Development should happen in the development environment, testing should happen in the test or stage environment, and only approved versions should move to production.

17.1 Deployment Environments

Environment	Purpose	Activities
Development	Build the solution.	Create app, tables, flows, reports, and security roles.
Test or Stage	Validate the solution.	Perform QA, integration testing, security testing, and UAT.
Production	Run live business process.	Real users submit and process IT service requests.

17.2 Deployment Steps

Complete development in development environment.
Add Power Apps, flows, tables, choices, roles, and variables into a solution.
Export or deploy managed solution to test environment.
Perform testing and UAT.
Fix issues in development environment.
Redeploy to test if needed.
After approval, deploy managed solution to production.
Set production environment variables.
Validate connection references.
Turn on required flows.
Share app with users and groups.
Publish or connect Power BI report to production data.
Perform post-deployment smoke testing.

18. Support and Monitoring Plan

After deployment, the project team should monitor the solution and provide support to users.

18.1 Monitoring Areas

App usage and user feedback.
Power Automate flow run history.
Failed approval or notification flows.
Dataverse data quality.
Power BI dataset refresh status.
Security access issues.
Performance issues in app or reports.
Support tickets raised by users.

18.2 Support Model

Support Level	Responsibility
Level 1 Support	Basic user help, access issue collection, and simple troubleshooting.
Level 2 Support	Flow failures, app issues, data correction, and report refresh problems.
Level 3 Support	Advanced bug fixing, enhancement development, architecture changes, and deployment fixes.

19. Business Benefits

This project provides several business benefits to the organization.

Benefit	Explanation
Centralized Request Management	All IT requests are stored and tracked in one system.
Faster Approvals	Manager approvals are automated through Power Automate.
Better Visibility	Employees and managers can see request status clearly.
Improved IT Productivity	Support agents can manage tickets in a structured way.
Management Reporting	Power BI dashboards provide useful insights for leadership.
Reduced Manual Tracking	Email and Excel-based tracking are replaced by a digital workflow.
Better Governance	Role-based access, deployment strategy, and monitoring improve control.

20. Common Challenges and Solutions

Enterprise projects may face several practical challenges. The project team should plan solutions for these challenges in advance.

Challenge	Impact	Solution
Unclear requirements	Solution may not match business needs.	Conduct requirement workshops and prepare BRD/FRD.
Wrong data model	App and reports become difficult to maintain.	Design Dataverse tables and relationships carefully.
Flow failure	Approvals or notifications may not work.	Add error handling and monitor run history.
Security gaps	Users may access unauthorized data.	Test role-based access using different user roles.
Report mismatch	Power BI may show incorrect data.	Validate report numbers against Dataverse records.
Deployment issue	Components may be missing in production.	Use solutions, environment variables, and deployment checklist.

21. Final Project Deliverables

At the end of the project, the team should deliver both technical components and documentation.

21.1 Technical Deliverables

Power Apps Employee Request App.
IT Support Ticket Management App or screens.
Dataverse tables, columns, relationships, choices, and security roles.
Power Automate approval, notification, assignment, and reminder flows.
Power BI dashboard and reports.
Solution package for deployment.
Environment variables and connection references.

21.2 Documentation Deliverables

Business Requirement Document.
Functional Requirement Document.
Solution Design Document.
Dataverse Data Model Document.
Flow Design Document.
Power BI Report Specification.
Test Case Document.
Deployment Guide.
User Guide.
Support and Maintenance Guide.

22. Mini Project Summary for Students

This project is a complete enterprise-style Power Platform solution. It starts with a business problem and ends with a deployed, tested, and report-enabled application.

Project Area	Implementation
Business Problem	Manual IT request tracking through emails and Excel.
App	Power Apps for employee request submission and IT ticket management.
Database	Dataverse for centralized and secure data storage.
Automation	Power Automate for approval, assignment, reminders, and notifications.
Reporting	Power BI for dashboards, KPIs, trends, and SLA monitoring.
Security	Role-based access for employee, manager, support agent, lead, and admin.
Deployment	Development, Test, and Production environments using solutions.

23. Interview-Oriented Questions and Answers

Question 1: What is an example of an enterprise Power Platform project?

Answer: A good enterprise Power Platform project example is an IT Service Request Management System where employees submit requests using Power Apps, data is stored in Dataverse, approvals and notifications are handled by Power Automate, and management dashboards are created in Power BI.

Question 2: Why is Dataverse suitable for this project?

Answer: Dataverse is suitable because it provides secure table-based data storage, relationships, choices, role-based security, business rules, integration with Power Apps and Power Automate, and reporting support through Power BI.

Question 3: What is the role of Power Apps in this project?

Answer: Power Apps provides the user interface where employees submit IT requests, view request status, and IT support teams manage assigned tickets.

Question 4: What is the role of Power Automate in this project?

Answer: Power Automate handles request submission workflows, manager approvals, ticket assignment notifications, status update notifications, SLA reminders, and feedback requests.

Question 5: What is the role of Power BI in this project?

Answer: Power BI provides dashboards and reports for IT leadership. It shows total requests, open tickets, pending approvals, SLA status, category-wise analysis, agent workload, and employee feedback.

Question 6: What tables can be created in Dataverse for this project?

Answer: Example Dataverse tables include Employee, Department, Request Category, IT Service Request, Approval History, Ticket Assignment, Resolution Comment, and SLA Configuration.

Question 7: How is security handled in this project?

Answer: Security is handled using role-based access. Employees can see their own requests, managers can approve team requests, support agents can update assigned tickets, leads can manage all tickets, and admins can manage configuration.

Question 8: What should be tested before deployment?

Answer: The team should test request submission, mandatory field validation, manager approval, ticket assignment, status updates, notifications, security roles, Power BI dashboard accuracy, and end-to-end process flow.

Question 9: What deployment strategy should be used?

Answer: The solution should be built in development, tested in test or stage, and released to production using Power Platform solutions. Environment variables and connection references should be used for deployment readiness.

Question 10: What are the main benefits of this project?

Answer: The main benefits are centralized request tracking, faster approvals, better IT team productivity, improved visibility, reduced manual work, accurate reporting, and better governance.

24. Conclusion

The Enterprise IT Service Request Management System is a strong example of an end-to-end Power Platform project. It shows how a real business problem can be converted into a complete digital solution using Power Apps, Dataverse, Power Automate, and Power BI.

This project includes all major phases of enterprise solution development: requirement analysis, tool selection, database design, app creation, workflow automation, reporting, testing, deployment, security, and support.

A project like this helps students and professionals understand how Power Platform is used in practical business scenarios. It also prepares learners for real project discussions, interviews, solution design exercises, and enterprise implementation work.