Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Development of an Enterprise Business Intelligence Platform for FMCG Manufacturing
  1. case
  2. Development of an Enterprise Business Intelligence Platform for FMCG Manufacturing

Development of an Enterprise Business Intelligence Platform for FMCG Manufacturing

itmagination.com
Manufacturing
Consumer products & services

Identified Challenges in Data Integration and Decision-Making for Large FMCG Manufacturer

The client faces difficulties in accessing timely, comprehensive insights across multiple business areas including sales, purchasing, finance, marketing, and operations in various countries. Existing systems lack centralized analytics, causing delays in decision-making, increased risk of lost sales, and suboptimal sales planning and operational efficiency.

About the Client

A large multinational FMCG manufacturing company operating in multiple countries across regions, requiring comprehensive sales and financial insights to optimize decision-making.

Key Goals for Enhancing Business Insight and Operational Efficiency

  • Establish a unified Business Intelligence platform to support sales planning, financial forecasting, and decision-making across multiple regions and business units.
  • Enable real-time access to crucial KPIs to facilitate timely and informed decisions at top management levels.
  • Improve sales planning accuracy, increase sales force effectiveness, and minimize out-of-stock situations.
  • Integrate internal enterprise systems with external data sources to provide comprehensive market and operational insights.
  • Support multiple business streams including product categories such as dairy, water, nutrition, and medical in diverse geographic locations.

Core System Functionalities for Advanced Business Analytics

  • Data Integration Layer: Connect internal systems (e.g., SAP, Navision) with external data sources such as sales force automation, market analytics, and sell-through data.
  • Data Migration & Architecture: Redesign the analytics architecture, migrating to a modern cloud platform to support scalability and flexibility.
  • Real-time KPI Dashboards: Deliver near real-time insights into sales, income, costs, margins, and other key performance indicators.
  • Advanced Reporting & Visualization: Enable detailed financial planning, forecasting, and operational reporting tailored for different roles and regions.
  • Support for Multiple Business Streams: Custom modules for dairy, water, nutrition, and medical product lines across various countries.

Recommended Technologies and Architectural Approaches

Cloud platform migration to Microsoft Azure or equivalent
Business Intelligence tools supporting real-time analytics and visualization
Data warehouse solutions capable of handling large-scale integrations
Secure data governance and master data management systems

Necessary External System and Data Source Integrations

  • Enterprise resource planning systems (e.g., SAP, Navision)
  • Sales force automation systems (SFA solutions)
  • Market and sell-through data sources
  • Custom internal data sources for production and operational metrics

Performance, Security, and Scalability Parameters

  • System should support high-volume data processing with minimal latency to enable near real-time analytics
  • Scalable architecture to accommodate future business growth and additional data sources
  • Robust security measures to ensure confidentiality and compliance with data regulations
  • User-friendly dashboards and interfaces for diverse user roles

Anticipated Business Benefits and Performance Improvements

The implementation of the BI platform is expected to significantly enhance decision-making quality, with top management gaining faster access to comprehensive income, cost, and margin analyses at both customer and product levels. Sales planning accuracy should improve, sales force effectiveness increase, and out-of-stock events minimized, ultimately supporting revenue growth and operational efficiency across multiple regions and product lines.

More from this Company

Automated Financial Document Processing and Integration System for Enhanced Payment Workflows
Development of a Modern Investment Advisory Platform for Scalable Fintech Solutions
Ecommerce Platform Development for Multichannel Sales Strategy in Healthcare Sector
Development of a Cloud-Based Analytics and Service Management Platform for Retail & eCommerce Sector
Enterprise Gaming Platform Enhancement for Accelerated Product Deployment