Building a Global Data Warehouse and Analytics Platform for Enterprise-Wide Visibility
Enabled enterprise-wide visibility across Sales, Finance, and Planning through a centralized analytics platform.
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Business functions integrated through a centralized analytics platform
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Enterprise data warehouse delivering trusted and governed insights
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Single source of truth established for enterprise decision-making
Executive Summary
The client’s analytics landscape was fragmented across multiple systems, resulting in inconsistent reporting, manual data preparation, and limited visibility into business performance. The organization required a modern analytics platform capable of delivering trusted insights across Sales, Finance, and Planning functions while supporting future enterprise growth.
Following a strategy and roadmap engagement, DiLytics implemented Phase 1 of the client’s Global Data Warehouse & Analytics initiative. The solution established an enterprise data warehouse, integrated SAP-based business data, implemented governed semantic models, and delivered analytics capabilities across Sales, General Ledger, and Planning domains.
The solution established a trusted single source of truth for reporting, improved reporting consistency and data quality, reduced manual effort, and created a scalable foundation for future analytics expansion across the enterprise.
The client’s analytics landscape was fragmented across multiple systems, resulting in inconsistent reporting, manual data preparation, and limited visibility into business performance. The organization required a modern analytics platform capable of delivering trusted insights across Sales, Finance, and Planning functions while supporting future enterprise growth.
Following a strategy and roadmap engagement, DiLytics implemented Phase 1 of the client’s Global Data Warehouse & Analytics initiative. The solution established an enterprise data warehouse, integrated SAP-based business data, implemented governed semantic models, and delivered analytics capabilities across Sales, General Ledger, and Planning domains.
The solution established a trusted single source of truth for reporting, improved reporting consistency and data quality, reduced manual effort, and created a scalable foundation for future analytics expansion across the enterprise.
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Client Overview
The client is a leading medical device company specializing in minimally invasive neuroendovascular technologies used in the treatment of neurovascular disorders. The company operates globally across North America, Europe, Asia-Pacific, China, and Latin America, with business functions spanning sales, marketing, finance, supply chain, manufacturing, and regulatory operations.
- Industry: Medical Devices & Healthcare Technology
- Location: Global Operations
- Focus Areas: Neurovascular Medical Devices, Sales Analytics, Financial Reporting
- Market Position: Recognized Leader in Medical Device Solutions
Struggling with Inconsistent Data and Delayed Decision-Making
The organization relied on multiple disconnected systems and manual reporting processes that created inconsistent business definitions, reporting delays, and limited enterprise-wide visibility. A centralized analytics platform was needed to standardize data, improve governance, and support trusted decision-making across global operations.
Disconnected Data Sources
Disconnected Data Sources
Data Quality & Consistency Issues
Data Quality & Consistency Issues
Manual Reporting Processes
Manual Reporting Processes
Limited Visibility & Delayed Decisions
Limited Visibility & Delayed Decisions
Struggling with Inconsistent Data and Delayed Decision-Making
Disconnected Data Sources
Disconnected Data Sources
Data Quality & Consistency Issues
Data Quality & Consistency Issues
Manual Reporting Processes
Manual Reporting Processes
Limited Visibility & Delayed Decisions
Limited Visibility & Delayed Decisions
Enabling Enterprise-Wide Visibility Through Modern Data Architecture
Following the successful completion of a Data Warehouse Strategy & Roadmap engagement, DiLytics partnered with the client to implement Phase 1 of its Global Data Warehouse & Analytics modernization initiative. The objective was to establish an enterprise analytics foundation by integrating data from SAP transactional systems and Hyperion-based planning applications, enabling standardized reporting and analytics across Sales, Finance, and Planning functions.
- Conducted detailed requirements gathering workshops across business and IT teams
- Designed and implemented an enterprise data warehouse architecture
- Developed data integration pipelines from SAP and Hyperion source systems
- Built semantic models and standardized business definitions
- Implemented data quality, governance, and security controls
- Developed enterprise analytics and reporting capabilities
- Performed testing, deployment, user training, and production rollout
Phase 1 delivered analytics capabilities across the following business areas:
- Sales Order Analytics
- General Ledger Analytics
- Budget vs Actual Analytics
- Sales Plan vs Actual Analytics
- Sales Forecast vs Actual Analytics
These analytics capabilities provided a unified reporting foundation for Sales, Finance, and Planning teams while establishing standardized business definitions and reporting metrics across the organization.
- Implemented a centralized enterprise data warehouse
- Integrated data from SAP Sales, SAP General Ledger, and Hyperion-based Sales & Financial Planning systems into a centralized enterprise data warehouse
- Consolidated transactional, financial, and planning data into a unified reporting model to enable cross-functional analysis and performance management
- Developed fact and dimension models supporting Sales, Finance, Forecasting, Budgeting, Customer, Product, Organization, and Geography analytics
- Implemented semantic models to simplify business reporting
- Established role-based security and governed data access
- Created a scalable analytics architecture capable of supporting future phases involving Supply Chain, Quality, Regulatory, Marketing, and HR domains
- Conducted detailed requirements gathering workshops across business and IT teams
- Designed and implemented an enterprise data warehouse architecture
- Developed data integration pipelines from SAP and Hyperion source systems
- Built semantic models and standardized business definitions
- Implemented data quality, governance, and security controls
- Developed enterprise analytics and reporting capabilities
- Performed testing, deployment, user training, and production rollout
Phase 1 delivered analytics capabilities across the following business areas:
- Sales Order Analytics
- General Ledger Analytics
- Budget vs Actual Analytics
- Sales Plan vs Actual Analytics
- Sales Forecast vs Actual Analytics
These analytics capabilities provided a unified reporting foundation for Sales, Finance, and Planning teams while establishing standardized business definitions and reporting metrics across the organization.
- Implemented a centralized enterprise data warehouse
- Integrated data from SAP Sales, SAP General Ledger, and Hyperion-based Sales & Financial Planning systems into a centralized enterprise data warehouse
- Consolidated transactional, financial, and planning data into a unified reporting model to enable cross-functional analysis and performance management
- Developed fact and dimension models supporting Sales, Finance, Forecasting, Budgeting, Customer, Product, Organization, and Geography analytics
- Implemented semantic models to simplify business reporting
- Established role-based security and governed data access
- Created a scalable analytics architecture capable of supporting future phases involving Supply Chain, Quality, Regulatory, Marketing, and HR domains
Creating a Trusted Single Source of Truth for Enterprise Decision-Making
The centralized analytics platform standardized reporting, improved governance and data quality, and established a scalable enterprise foundation that enables trusted business insights across global operations.
Standardized Business Metrics
Improved consistency of reporting definitions and KPIs across global regions and business functions
Trusted Sales and Financial Insights
Enabled faster access to reliable Sales, Finance, and Planning information for informed decision-making
Enhanced Data Quality and Governance
Strengthened governance frameworks and improved confidence in enterprise reporting through standardized data management
Reduced Manual Reporting Effort
Automated and centralized reporting processes to minimize spreadsheet dependency and streamline analytics
Scalable Enterprise Foundation
Established a modern data warehouse architecture capable of supporting future analytics expansion across additional business domains
Single Source of Truth
Created a unified enterprise reporting platform that delivers governed, trusted, and consistent business insights across the organization
Tech Stack Summary
The solution leveraged a modern data and analytics architecture to integrate enterprise data from operational, financial, and planning systems into a centralized cloud data warehouse.
Data Sources
Data Integration
Data Warehouse
Data Visualization
Data Sources
Data Integration
Data Warehouse
Data Visualization
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