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Advanced Sales Performance Analytics Platform
  1. case
  2. Advanced Sales Performance Analytics Platform

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Advanced Sales Performance Analytics Platform

reenbit
Information technology
Business services
eCommerce

Inadequate Sales Analytics Infrastructure

The client lacks granular sales data visibility with only monthly total figures available, missing critical attributes like client details, sale types, and currency normalization. This results in inability to track performance against targets, forecast revenue gaps, or identify high-value clients.

About the Client

A leading IT services provider specializing in software development and technology solutions

Strategic Analytics Goals

  • Implement real-time sales performance tracking across multiple dimensions
  • Develop predictive forecasting capabilities for proactive strategy adjustments
  • Establish client-centric revenue analysis framework
  • Create automated, scalable data processing pipeline

Core Analytics Platform Requirements

  • Monthly/quarterly sales performance tracking with drill-down capabilities
  • Sale type distribution analysis (new sales, upsells, cross-sells)
  • Target gap analysis with future month distribution modeling
  • Projected sales forecasting with trend comparison
  • Multi-dimensional filtering (year, client, sale type)
  • Client revenue contribution tracking over time
  • Year-to-date sales breakdown by category
  • Customizable tooltip visualizations for deep-dive analysis

Technology Stack Requirements

Azure Data Factory
Power BI
Azure KeyVault
Azure SQL Server
GraphQL
Dimensional Modelling

System Integration Needs

  • Internal financial systems data extraction
  • Azure Blob Storage for raw data ingestion
  • Snowflake data warehouse integration
  • Currency conversion API for multi-currency support

Operational Requirements

  • Automated daily data pipeline execution
  • Real-time dashboard refresh capabilities
  • Role-based access control for data security
  • Horizontal scalability for future data growth

Expected Business Outcomes

The solution will provide real-time sales insights across clients and time periods, improve forecasting accuracy by 40% through target gap analysis, enable client-centric strategy development, and support data-driven executive decision-making through interactive visualizations and automated reporting.

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