Back PageRetail Company: Unifying Enterprise Data to Drive AI-Ready Decision Making
Sumber: input sumber here
Establishing a Trusted Data Backbone for Group-Wide Intelligence
Operating across multiple Strategic Business Units (SBUs), this company manages a vast and diverse data ecosystem. As the organization expanded, data fragmentation and duplicated platforms began to slow decision-making, increase operational cost, and limit the ability to adopt advanced analytics.
This retail company was initiated to address these challenges by creating a unified data platform that consolidates enterprise data, strengthens governance, and prepares the organization for real-time insights.
This retail company was initiated to address these challenges by creating a unified data platform that consolidates enterprise data, strengthens governance, and prepares the organization for real-time insights.
Sector and Service
Retail
Data Platform Modernization (AWS)
Challenge
Managing Enterprise Decisions Across a Fragmented Data Environment
Data was distributed across SBUs with varying standards, governance practices, and infrastructure setups. This fragmentation introduced compliance risk, increased dependency on manual data consolidation, and delayed access to actionable insights.
In parallel, duplicated infrastructure drove up operational costs, while the absence of a standardized data foundation limited readiness for advanced analytics, AI, and predictive use cases.
In parallel, duplicated infrastructure drove up operational costs, while the absence of a standardized data foundation limited readiness for advanced analytics, AI, and predictive use cases.
Strategy
Designing a Centralized, Governed, and AI-Ready Data Architecture
Insignia designed a cloud-based data platform that brings enterprise data into a governed environment.
The strategy focused on consolidating data management across SBUs, standardizing governance to reduce compliance risk, and simplifying the overall data architecture. By establishing a strong data foundation, the platform supports real-time analytics and creates a clear path toward AI and machine learning adoption. At the same time, infrastructure efficiency was improved by optimizing resource usage and reducing platform duplication.
The strategy focused on consolidating data management across SBUs, standardizing governance to reduce compliance risk, and simplifying the overall data architecture. By establishing a strong data foundation, the platform supports real-time analytics and creates a clear path toward AI and machine learning adoption. At the same time, infrastructure efficiency was improved by optimizing resource usage and reducing platform duplication.
Outcome
Real-Time and Trusted Insights Across the Organization
This company now operates on a unified data platform that delivers timely and trusted insights across the group. Decision-makers gain faster visibility into business performance without relying on manual consolidation, while the organization benefits from improved governance and lower operational overhead.
A retail company established a single source of truth across the organization. This prepares the enterprise for AI and advanced analytics at scale.
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