Enterprise Data Warehousing and Business Intelligence Managed Services – Cummins Inc. Case Study – Pramod Siddabattuni – Product Consultant / Data Solutions Architect

Client Introduction

Cummins Inc. is an American multinational corporation and global leader in power technology, designing, manufacturing, distributing, and servicing diesel and natural gas engines, electric and hybrid powertrains, and power generation products. Founded in Columbus, Indiana in 1919, Cummins employs approximately 75,500 people and sells its products across approximately 190 countries and territories. In 2023, Cummins recorded sales of $34.1 billion.

Cummins operates across five segments: Engine, Components, Distribution, Power Systems, and Accelera. The Power Systems business has seen significant growth driven by rising demand for power generation — particularly for data centre applications. With operations spanning multiple continents and a highly diversified customer base, Cummins requires a sophisticated, large-scale enterprise data and analytics infrastructure to support decision-making, financial reporting, and performance management across its global organisation.

Project Introduction

Programme: Enterprise Data Warehousing and Business Intelligence Managed Services
Delivery Partner: Cognizant Technology Solutions
Role: Offshore Development Lead – Change Request Management, Production Support, and Technical Leadership

Cognizant was engaged to manage the Data Warehousing and BI application landscape for Cummins, providing end-to-end change request management and production support across a portfolio of 100+ applications spanning five core business domains. Technologies: Informatica, OBIEE, Oracle Warehouse Builder (OWB), Business Objects, Oracle.

Scope of work includes:

Management of Data Warehousing and BI change requests across 100+ applications
Production support and incident management for the Cummins BI application estate
Offshore development leadership including scope definition, planning, and quality review
Stakeholder engagement with Business Analysts and System Analysts
Review of design, code, deployment, and deliverables from the offshore team

Functional Domains Covered

Corporate Finance

Financial reporting, management accounting, budgeting, forecasting, cost analysis, and profitability management across Cummins’ global operations — providing consolidated, accurate financial performance views at operational and executive levels.

Distribution Business

Distributor performance management, parts inventory analytics, service operations reporting, and supply chain visibility across 90 countries and 230+ locations — requiring robust integration and governance across a complex geographic distribution network.

Power Generation

Product line performance analysis, market demand reporting, manufacturing output metrics, and customer analytics for the Power Systems segment — which grew 19% year-on-year in 2025 driven by data centre demand.

Engine Business

Engine shipment reporting, production analytics, warranty analysis, customer and market analytics, and regulatory compliance reporting across Cummins’ heavy-duty, medium-duty, and off-highway engine portfolio in 190+ countries.

Administrative Functions

HR, IT, Legal, and Procurement analytics — supporting workforce reporting, headcount planning, compensation analysis, spend analysis, and supplier performance metrics across Cummins’ 75,500-strong global workforce.

Technology Stack

Informatica PowerCenter — Primary enterprise data integration platform managing ETL extraction, transformation, and loading from Cummins’ diverse source systems into the central data warehouse.

Oracle Warehouse Builder (OWB) — ETL development and data warehouse design within the Oracle database environment, managing specific transformation workflows and data model changes.

OBIEE (Oracle Business Intelligence Enterprise Edition) — Enterprise BI platform delivering dashboards, reports, and ad hoc analytics through a governed semantic layer maintained across all five functional domains.

SAP Business Objects — Complementary reporting platform supporting specific use cases and user communities alongside OBIEE.

Oracle Database — Underlying database platform hosting the physical data models, stored procedures, and complex packages underpinning the BI application estate.

Offshore Development Lead: Key Responsibilities

Scope & Planning
Defined project scope and deliverables for incoming change requests. Translated business requirements into technical specifications and established realistic schedules reported to Cognizant and Cummins management.

Technical Development
Provided hands-on development for the most complex deliverables — intricate ETL logic, multi-layer data transformations, and complex Oracle packages — ensuring quality and accuracy.

Quality Assurance
Conducted structured reviews of design, code, deployment artefacts, and deliverables produced by the offshore team against Cummins’ technical standards and change request requirements.

Onshore-Offshore Coordination
Regular teleconferences with onsite and offshore project managers, daily status calls, and weekly status reports to Cognizant management maintaining transparent progress reporting.

Business Impact

Enterprise-scale BI management
Structured managed services model maintaining and enhancing 100+ applications across five domains, reducing operational risk and ensuring business continuity.

Continuous improvement at scale
A governed change request pipeline continuously improved reporting and analytics capabilities in response to evolving business needs without disrupting production.

Production stability
Structured production support ensured business-critical BI applications remained available, accurate, and performant for Cummins’ global user base.

Offshore delivery efficiency
A structured offshore model provided cost-effective specialist expertise at scale, enabling a high volume of change requests to be delivered reliably and to a consistent quality standard.

Ready to Modernise Your Enterprise BI Capabilities?

Are you looking to bring structure, reliability, and scale to your data warehousing and business intelligence operations? Get in touch to explore how a governed managed services model can enhance your BI estate and deliver continuous analytics improvement.