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Cover image for đź“Š Sales Performance Analytics Dashboard
📊 Sales Performance Analytics Dashboard (Power BI) This Power BI dashboard was developed as part of a technical case study to demonstrate a business‑first approach to performance analytics. The report is designed to support both executive‑level decision‑making and operational sales management by focusing on: Revenue performance tracking Key performance drivers (Orders & Average Order Value) Team‑level performance monitoring Individual agent insights Data quality validation and exception handling 🔎 Key Functional Areas Executive Overview Provides a high‑level summary of Net Revenue and its primary drivers, supported by a monthly trend and rolling average to identify emerging performance patterns and reduce short‑term volatility. Performance Diagnostics (Region × Time) Enables root‑cause analysis by highlighting when and where performance changes occurred across regions and time periods. Sales Team Monitoring Supports day‑to‑day management through ranked team performance metrics, enabling prioritization of coaching or follow‑up actions. Agent‑Level Analysis Offers a focused performance view per individual contributor, including category mix and territory‑level revenue drivers. Data Quality Monitoring Separates adjustments (e.g. returns, discounts) from gross performance to prevent misleading KPI interpretation. 💼 Business Value Designed to: Monitor operational performance Identify revenue drivers behind month‑over‑month changes Detect under‑ or over‑performing teams Support targeted coaching Enable fast, data‑driven decision‑making 🛠 Tools & Concepts Used Power BI Data Modeling (Fact / Dimension) KPI Design MoM Analysis Driver‑Based Revenue Monitoring AOV Tracking Data Quality Checks
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