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Self-Service On-Demand Reporting System for Retail Analytics
  1. case
  2. Self-Service On-Demand Reporting System for Retail Analytics

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Self-Service On-Demand Reporting System for Retail Analytics

sphereinc.com
Retail
Health & Fitness

Challenges in Data Accessibility and Centralized Reporting

Dispersed internal data across multiple systems with limited access for non-executive staff caused delays in decision-making. Manual reporting processes required excessive IT involvement and failed to provide timely insights for operational improvements.

About the Client

A multinational retailer specializing in health and wellness products with complex operational data needs

Key Objectives for the Reporting System

  • Create a centralized single source of truth for business intelligence
  • Enable self-service analytics capabilities across all organizational levels
  • Automate data aggregation from disparate systems
  • Improve decision-making speed and operational efficiency

Core System Functionalities and Features

  • Pre-built Quick Reports with interactive dashboards
  • Ad hoc query builder for non-technical users
  • Scheduled report generation with customization options
  • Cross-device accessibility (desktop, mobile, tablet)
  • Role-based access control for data security

Technology Stack Requirements

Tablow
ERP Systems
Inventory Management Systems
Warehouse Management Systems
E-commerce Platforms

System Integration Needs

  • Enterprise Resource Planning (ERP) systems
  • Inventory tracking databases
  • Warehouse logistics platforms
  • E-commerce transaction systems

Non-Functional System Requirements

  • Scalability to support 250+ concurrent users
  • Real-time data processing capabilities
  • Enterprise-grade security and compliance
  • High-availability architecture
  • Intuitive user interface for business users

Expected Business Impact of the Reporting System

Implementation of the self-service reporting system is expected to reduce report generation time by 90%, increase operational decision-making speed by 60%, and enable 250+ daily users to access critical business insights without IT dependency. The system will drive data-driven decision-making across departments, leading to improved inventory management, sales optimization, and strategic planning capabilities.

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