An end-to-end Power BI analytics solution designed to evaluate customer onboarding friction, identity verification (KYC) bottleneck points, and support resolution performance for BETEKBN Ghana.
# BETEKBN Ghana β CX & KYC Onboarding Analytics
An end-to-end Power BI analytics solution designed to evaluate customer onboarding friction, identity verification (KYC) bottleneck points, and support resolution performance for **BETEKBN Ghana**.
## Executive Summary
As digital onboarding scales across iGaming and fintech platforms, verification delays directly impact customer retention and initial deposit conversions.
This project analyzes a 30-day operational dataset from **BETEKBN Ghana** to identify manual review triggers, evaluate support escalation rates via Jira, and pinpoint key drivers behind CSAT fluctuations.
### Key Highlights:
* **Total Registrations Analyzed:** 1,000
* **Auto-Approval Rate:** 76%
* **Jira Escalation Rate:** 24%
* **Average Resolution Time:** 2.12 Hours
## π Key Analytical Insights
1. **KYC Bottlenecks:** Ghana Card accounts for the vast majority of manual verification reviews and rejections.
2. **Primary Trigger:** Approximately **38%** of manual review escalations stem from **Blurry Ghana Card Uploads**.
3. **CSAT Impact:** Customer satisfaction drops sharply from **4.75** for automated approvals down to **1.29** for rejected registrations, emphasizing the need for real-time document quality checks during upload.
## ποΈ Technical Architecture & Data Pipeline
This project is built as an end-to-end data pipeline simulating an enterprise analytics workflow at EKBN Gaming (Betekbn):
(Python generator $\rightarrow$ SQL schema $\rightarrow$ Power BI report).
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β 1. Python Data Layer β βββΊ β 2. SQL Warehouse Layer β βββΊ β 3. Power BI Visual Layer β
β generate_cx_dataset.py β β schema_and_queries.sql β β betekbn_cx_dashboard.pbix β
β (Raw Customer Logs & Syntheticβ β (Snowflake/Postgres Schema & β β (DAX Measures, Data Model, β
β Verification Data) β β Analy β¦