Claims Performance Interactive Dashboard Creation
Budget: ₹12,500 – ₹37,500 INR
1. Project Title: Rapid Claims Performance Dashboard
2. Project Goal:
To quickly develop an interactive and auto-updating Excel/Business Intelligence (BI) dashboard for key claims settlement performance insights. This dashboard will allow for efficient monitoring of crucial metrics and enable seamless data addition for continuous analysis, optimized for a small dataset.
3. Key Deliverables:
Excel/BI Dashboard File: A fully functional Excel workbook (or BI tool file) containing the dashboard and underlying data structures.
Data Input Template: A clearly structured Excel sheet for easy and consistent entry of new claims data.
Quick Start Guide: A concise document outlining how to use the dashboard and add new data.
4. Core Features & Metrics to be Visualized:
The dashboard will include the following essential KPIs and visualizations:
Claims Settlement Ratio:
Overall settlement ratio (Settled Claims / Total Claims)
Settlement ratio by loss type
Average Turnaround Time (TAT):
Overall average TAT (e.g., from claim registration to settlement)
Average TAT by loss type
Pending Claims:
Number of pending claims
Aging of pending claims (e.g., <30 days, 30-60 days, >60 days)
Pending claims by loss type
Loss Type Analysis:
Breakdown of claims by loss type (e.g., Fire, Theft, Accident)
Number of claims per loss type
Claim Status Distribution:
Percentage distribution of claims by status (e.g., Open, Settled, Rejected)
5. Data Requirements & Structure:
The core data input sheet will require the following minimum columns:
Claim ID: Unique identifier for each claim
Claim Registration Date: Date the claim was filed
Loss Type: (e.g., Fire, Theft, Accident, etc.)
Claim Status: (e.g., Open, Settled, Rejected, Withdrawn, Pending Review)
Date of Settlement/Rejection: Date the claim was settled or rejected (leave blank if pending)
Incurred Amount: Total amount of loss reported
Settled Amount: Amount paid out for settled claims (0 for others)
6. Technical Specifications:
Platform: Microsoft Excel (utilizing Excel Tables, Power Query, and Pivot Tables for efficiency).
Interactivity: Slicers to filter data (e.g., by month, loss type).
Auto-Update Mechanism: The dashboard will automatically refresh all charts and KPIs when new data is added to the designated input sheet.
Visuals: Clear, concise charts and summary tables suitable for quick analysis.
7. Expedited Project Timeline:
Given the 200 rows of data, the project will be structured for rapid delivery:
Day 1: Setup & Initial Dashboard Draft
Morning: Quick discussion to confirm requirements, data structure, and preferred visuals. Data input sheet setup and initial data import.
Afternoon: Core dashboard elements built, including initial calculations for settlement ratio, TAT, and pending claims. Basic charts implemented.
Day 2: Refinement, Testing & Handover
Morning: Add remaining specific charts (e.g., aging, loss type breakdown). Implement slicers. Comprehensive testing with sample data.
Afternoon: Client review and immediate feedback session. Rapid adjustments and final polishing. Preparation of the Quick Start Guide and final delivery.
8. Budget:
[Freelancer to provide a quote based on the expedited 2-day timeline and their standard rates for such projects. A fixed price is recommended for clear expectations.]
Payment terms to be discussed (e.g., 75% upfront, 25% upon completion given the tight timeline).
9. Communication Plan:
Active and immediate communication via a preferred channel (e.g., chat, quick calls) to ensure swift progress and address any questions.
10. Acceptance Criteria:
All specified KPIs are accurately calculated and displayed for the provided data.
The dashboard updates automatically when new data is added to the designated sheet.
Slicers function correctly for basic filtering.
The Quick Start Guide is clear and provides essential instructions.
2. Project Goal:
To quickly develop an interactive and auto-updating Excel/Business Intelligence (BI) dashboard for key claims settlement performance insights. This dashboard will allow for efficient monitoring of crucial metrics and enable seamless data addition for continuous analysis, optimized for a small dataset.
3. Key Deliverables:
Excel/BI Dashboard File: A fully functional Excel workbook (or BI tool file) containing the dashboard and underlying data structures.
Data Input Template: A clearly structured Excel sheet for easy and consistent entry of new claims data.
Quick Start Guide: A concise document outlining how to use the dashboard and add new data.
4. Core Features & Metrics to be Visualized:
The dashboard will include the following essential KPIs and visualizations:
Claims Settlement Ratio:
Overall settlement ratio (Settled Claims / Total Claims)
Settlement ratio by loss type
Average Turnaround Time (TAT):
Overall average TAT (e.g., from claim registration to settlement)
Average TAT by loss type
Pending Claims:
Number of pending claims
Aging of pending claims (e.g., <30 days, 30-60 days, >60 days)
Pending claims by loss type
Loss Type Analysis:
Breakdown of claims by loss type (e.g., Fire, Theft, Accident)
Number of claims per loss type
Claim Status Distribution:
Percentage distribution of claims by status (e.g., Open, Settled, Rejected)
5. Data Requirements & Structure:
The core data input sheet will require the following minimum columns:
Claim ID: Unique identifier for each claim
Claim Registration Date: Date the claim was filed
Loss Type: (e.g., Fire, Theft, Accident, etc.)
Claim Status: (e.g., Open, Settled, Rejected, Withdrawn, Pending Review)
Date of Settlement/Rejection: Date the claim was settled or rejected (leave blank if pending)
Incurred Amount: Total amount of loss reported
Settled Amount: Amount paid out for settled claims (0 for others)
6. Technical Specifications:
Platform: Microsoft Excel (utilizing Excel Tables, Power Query, and Pivot Tables for efficiency).
Interactivity: Slicers to filter data (e.g., by month, loss type).
Auto-Update Mechanism: The dashboard will automatically refresh all charts and KPIs when new data is added to the designated input sheet.
Visuals: Clear, concise charts and summary tables suitable for quick analysis.
7. Expedited Project Timeline:
Given the 200 rows of data, the project will be structured for rapid delivery:
Day 1: Setup & Initial Dashboard Draft
Morning: Quick discussion to confirm requirements, data structure, and preferred visuals. Data input sheet setup and initial data import.
Afternoon: Core dashboard elements built, including initial calculations for settlement ratio, TAT, and pending claims. Basic charts implemented.
Day 2: Refinement, Testing & Handover
Morning: Add remaining specific charts (e.g., aging, loss type breakdown). Implement slicers. Comprehensive testing with sample data.
Afternoon: Client review and immediate feedback session. Rapid adjustments and final polishing. Preparation of the Quick Start Guide and final delivery.
8. Budget:
[Freelancer to provide a quote based on the expedited 2-day timeline and their standard rates for such projects. A fixed price is recommended for clear expectations.]
Payment terms to be discussed (e.g., 75% upfront, 25% upon completion given the tight timeline).
9. Communication Plan:
Active and immediate communication via a preferred channel (e.g., chat, quick calls) to ensure swift progress and address any questions.
10. Acceptance Criteria:
All specified KPIs are accurately calculated and displayed for the provided data.
The dashboard updates automatically when new data is added to the designated sheet.
Slicers function correctly for basic filtering.
The Quick Start Guide is clear and provides essential instructions.