Data Democratization and Data-Driven Decision Making Through An Enterprise-Wide Analytics Platform

Problem Statement

Our client relies heavily on supply chain, logistics and production operations and the aligned workforce for its day-to-day operations. Yet, with lack of automation and unwanted dependencies on manual processes it was challenging to have an integrated and unified data analytics and reporting. A Lack of strong governance meant that data quality was inconsistent leading to slower decision-making. Moreover, the organization was vulnerable to risks such as regulatory compliance and data loss. They required a system that was capable of keeping tabs across the value chain in real-time with insights from Inventory Analytics, Pricing Analytics, Balanced Scorecards, and many more.

Key Challenge Areas That Demanded Improvements-

• Scattered data across various sources restricting automation ability.
• Limited Visibility of data meant lack of real-time insights and Reactive Management.
• Disparate system creating data Silos and Reporting Challenges.

Delivered Data Integration and Analytics Solutions

To understand our client requirement, a six-week detailed discovery phase was conducted, which proved to be a key success factor in delivery of the project. Based on the discovery phase, we designed data models and implemented an inter-connected framework along with easy data visualization/insights platform. We established different analytics according to the client requirements throughout their value chain-

• Balanced Scorecard- Comprehensive monitoring of performance across functions.
• b>Procurement Analytics- Analytics based procurement selection and cycle.
• Logistics Analytics- End-to-end supply chain insight.
• Vendor Analytics- Detailed vendor comparison based on multiple factors.
• Customer Service- Quick action, based on customer preferences.
• Production Analytics- One stop solution for production and quality insights.
• Inventory Analytics- Avoid overstocking & understocking.