Back To Case StudiesData Modernization for a Global Manufacturing Enterprise
Introduction
In the manufacturing sector, every decision — from procurement to production to distribution — depends on real-time data accuracy. However, many enterprises still operate with legacy systems that fragment data across multiple departments and plants, limiting operational visibility and business agility.
A leading global manufacturer sought to modernize its data ecosystem to unify enterprise data, enhance analytics accuracy, and drive continuous process improvement. The organization aimed to establish a cloud-first, automated data infrastructure that would empower faster, insight-driven decision-making and sustainable operational growth. At Axia Kairos, we partnered with the enterprise to design and deliver a comprehensive Data Modernization program powered by SAP Datasphere and SAP BTP, enabling real-time analytics, automation, and governance across the value chain.
Business Challenge:
The client’s existing data landscape had evolved over several years through mergers, system upgrades, and regional customizations. The result was a highly fragmented environment with duplicated data, inconsistent models, and delayed insights.
Key challenges included:
Legacy on-premise data warehouses restricted real-time analytics and scalability.
Lack of unified data modeling hindered collaboration between production, finance, and sales teams.
Manual data extraction and reporting processes led to latency and human errors.
Limited data governance mechanisms increased operational risk and compliance concerns.
Decision-making was reactive rather than predictive, slowing business agility.
Solution Implemented:
Axia Kairos delivered a multi-phase data modernization initiative anchored on SAP Datasphere and SAP BTP to unify, automate, and enhance enterprise-wide analytics. Our approach included:
Data Landscape Assessment
Conducted a maturity analysis of existing data sources and infrastructure to design a unified architecture.
Migration to SAP Datasphere
Transitioned on-premise warehouses to a centralized cloud-based model for real-time analytics and collaboration.
Automation of Data Pipelines
Implemented automation scripts and ETL workflows to eliminate manual processing and improve accuracy.
Integration Framework
Connected ERP, SCM, and MES systems via SAP BTP connectors for seamless data synchronization.
Visualization & Reporting
Developed dynamic dashboards for plant performance, quality metrics, and supply-chain efficiency.
Governance & Security
Established standardized governance policies and access control for compliance and data reliability.
Technologies & Services Used:
SAP Datasphere
SAP BTP
Data Engineering & Analytics
Business Process Automation
Cloud Platform Modernization
Results & Impact:
The engagement transformed the client’s data ecosystem into a scalable, intelligent environment that delivers measurable business impact. Key outcomes achieved:
Enhanced Real-Time Visibility
Delivered a 60% improvement in production visibility and reporting accuracy by integrating real-time data from multiple operational sources into a unified analytics view.
Reduced Manual Effort
Automated key data handling processes, leading to a 40% reduction in manual workload and minimizing delays caused by repetitive, error-prone tasks.
Faster Decision-Making
Enabled 25% faster decision-making across departments with centralized dashboards that provided instant access to operational, financial, and supply chain insights.
Strengthened Data Governance
Established a standardized governance framework that ensured audit-ready compliance, improved data lineage tracking, and enhanced end-to-end data reliability.
Accelerated Predictive Insights
Boosted predictive analytics adoption by integrating IoT and operational data, enabling proactive issue detection and smarter forecasting models.
Improved Enterprise Agility
Built a scalable, intelligent data architecture that empowered business teams, enhanced operational agility, and supported long-term digital transformation goals.