Building a Centralized Enterprise Data Warehouse for Smarter Business Decisions

Unified enterprise data from multiple operational systems into a centralized data warehouse, enabling real-time business visibility, self-service analytics, and data-driven decision-making across fleet, finance, operations, and planning functions.

6

Business functions enabled through enterprise analytics 

3

Enterprise systems integrated into a centralized data warehouse 

4M+

TEUs supported through enterprise reporting and analytics 

Executive Summary

A leading container leasing company sought to improve business visibility and reduce reliance on IT by establishing a centralized analytics platform capable of supporting operational, commercial, financial, and planning reporting requirements. Critical business data resided across multiple systems, limiting the organization’s ability to obtain a unified view of performance. 

DiLytics implemented an enterprise data warehouse solution integrating data from JD Edwards, AS400, and Real Asset Management (RAM) systems. The solution delivered analytics capabilities spanning executive reporting, fleet operations, asset management, resale performance, credit monitoring, financial planning, and accounting functions. 

The solution improved business performance visibility, enhanced container and asset management, simplified financial reporting processes, strengthened governance, and enabled data-driven decision-making across the organization through a centralized enterprise analytics platform. 

A leading container leasing company sought to improve business visibility and reduce reliance on IT by creating a centralized analytics platform, but critical data was spread across multiple systems. DiLytics implemented an enterprise data warehouse integrating JD Edwards, AS400, and RAM systems, delivering analytics for executive reporting, fleet operations, asset management, financial planning, credit monitoring, and accounting. The solution provided a unified view of business performance, enhanced asset and container management, streamlined financial reporting, strengthened governance, and enabled data-driven decision-making across the organization.

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Client Overview

The client is one of the world’s largest intermodal container leasing companies, specializing in the acquisition, leasing, management, and resale of marine cargo containers. With a global fleet exceeding four million twenty-foot equivalent units (TEUs), the company serves customers worldwide and is also a leading reseller of used containers.  

Fragmented Operational Data Limited Enterprise Reporting and Decision-Making

Business-critical information was spread across multiple operational systems, making it difficult to generate consolidated insights across finance, leasing, asset management, resale, and operations. The organization required a centralized analytics platform to improve visibility, reduce IT dependency, and support enterprise-wide decision-making.

Disconnected Enterprise Systems

Disconnected Enterprise Systems

Operational and financial data resided across multiple systems, limiting enterprise-wide reporting and analytics

Heavy Dependence on IT

Heavy Dependence on IT

Business users relied on IT teams for data access and reporting, reducing agility and delaying decision-making

Limited Cross-Functional Visibility

Limited Cross-Functional Visibility

Fragmented information made it difficult to analyze performance across marketing, operations, finance, resale, and planning functions

Need for a Centralized Analytics Platform

Need for a Centralized Analytics Platform

The organization required a scalable enterprise data warehouse capable of delivering trusted insights and standardized reporting across business units

Fragmented Operational Data Limited Enterprise Reporting and Decision-Making

Disconnected Enterprise Systems

Disconnected Enterprise Systems

Operational and financial data resided across multiple systems, limiting enterprise-wide reporting and analytics

Heavy Dependence on IT

Heavy Dependence on IT

Business users relied on IT teams for data access and reporting, reducing agility and delaying decision-making

Limited Cross-Functional Visibility

Limited Cross-Functional Visibility

Fragmented information made it difficult to analyze performance across marketing, operations, finance, resale, and planning functions

Need for a Centralized Analytics Platform

Need for a Centralized Analytics Platform

The organization required a scalable enterprise data warehouse capable of delivering trusted insights and standardized reporting across business units

Implementing a Centralized Enterprise Data Warehouse for Business Intelligence

DiLytics partnered with the client to design and implement an enterprise data warehouse and analytics platform that consolidated data from multiple operational systems into a single source of truth. The solution delivered role-based dashboards, operational reporting, financial analytics, and planning capabilities that enabled business users to analyze performance, monitor key metrics, and make informed decisions across the enterprise. 

Services Provided
  • Conducted requirements gathering and analytics design workshops 
  • Designed and implemented an enterprise data warehouse 
  • Developed ETL processes and data integration frameworks 
  • Created business metrics, KPIs, dashboards, and reports 
  • Developed executive, operational, financial, and planning analytics 
  • Implemented budgeting and forecasting capabilities 
  • Conducted testing, deployment, and user enablement activities 
Business Solution

The solution delivered analytics capabilities across six major business areas:

  • Executive & Business Performance Analytics: Providing visibility into net operating income, fleet performance, customer performance, and enterprise-wide operational KPIs 
  • Fleet Operations & Asset Management Analytics: Providing visibility into container utilization, lease-outs, turn-ins, depot operations, repair activities, inventory positions, and asset performance
  • Sales, Marketing & Customer Analytics: Providing visibility into bookings, customer activity, credit utilization, lease performance, factory inventory, and equipment deployment
  • Resale Analytics: Providing visibility into resale inventory, sales performance, profitability, turnaround times, customer activity, and resale trends
  • Credit & Risk Analytics: Providing visibility into customer credit exposure, bankruptcies, container recovery activities, and credit monitoring
  • Financial Planning & Accounting Analytics: Providing visibility into budgeting, forecasting, fixed assets, balance sheet performance, depreciation, write-downs, and financial performance metrics 
Technical Solution
  • Integrated data from JD Edwards, AS400, and Real Asset Management (RAM) systems 
  • Developed ETL processes using Microsoft SQL Server Integration Services (SSIS) 
  • Implemented a centralized Microsoft SQL Server Enterprise Data Warehouse 
  • Delivered dashboards and analytics through Oracle Analytics and Oracle Cloud Analytics 
  • Developed a custom Essbase cube supporting budgeting and forecasting processes 
  • Established a scalable enterprise reporting architecture supporting multiple business functions 

Empowering Enterprise-Wide Decision-Making Through Centralized Analytics

The Enterprise Data Warehouse transformed fragmented operational data into trusted business intelligence, improving fleet visibility, financial reporting, governance, and enterprise-wide decision-making.

Improved Fleet and Asset Visibility

Enhanced insight into fleet utilization, leasing activity, container inventory, repairs, and operational performance

Better Container Management

Improved visibility into inventory, movement, repairs, utilization, and resale activities for optimized asset management

Data-Driven Business Decisions

Enabled executives and business teams with timely, trusted analytics across operational, commercial, and financial functions

Reduced Dependence on IT

Empowered business users with centralized self-service reporting and enterprise analytics capabilities

Strengthened Governance and Compliance

Improved transparency into asset management and financial reporting through centralized, standardized data

Streamlined Financial Reporting

Simplified month-end, quarter-end, and year-end financial processes through automated reporting, budgeting, and forecasting capabilities

Tech Stack Summary

The solution established a scalable enterprise analytics foundation by integrating operational, financial, leasing, and asset management data into a centralized reporting environment.

Data Sources
Data Integration
Data Warehouse
Data Visualization

AS400

RAM

Build a Single Source of Truth for Your Business

Eliminate data silos and enable enterprise-wide reporting with a scalable data warehouse designed to deliver actionable insights across every business function.