en.Wedoany.com Reported - US-based Oracle announced on May 21 that Heathrow Airport, Kent, and MTN are using Oracle Fusion Data Intelligence to advance enterprise data analytics and AI-assisted decision-making. The customers disclosed this time span the UK transportation hub, global energy services, and African telecommunications operations sectors, with application goals focused on areas such as data governance, analytics efficiency, cost and complexity reduction, and business performance improvement.
Oracle Fusion Data Intelligence is positioned not as a single reporting tool, but as an analytics platform embedded within the Oracle Fusion Cloud Applications Suite and third-party data environments. In its official announcement, Oracle stated that the product provides enterprises with governed, ready-to-use analytics capabilities and embeds AI-assisted insights into daily workflows. Oracle Executive Vice President T.K. Anand noted that enterprises need AI analytics capabilities they can use without spending months building data pipelines and AI models. For large enterprises, the value of such a platform lies in bringing data from finance, HR, procurement, supply chain, and operations systems into the same analytical context, reducing the management costs associated with different departments repeatedly building tables, duplicating data retrieval, and inconsistent data definitions.
UK-based Heathrow Airport is the transportation industry customer disclosed this time. Oracle stated that Heathrow handled nearly 85 million passengers last year, employs over 90,000 people on-site, and processes over £200 billion in trade annually. The airport has deployed Oracle Fusion Applications and implemented Oracle Fusion Data Intelligence in ERP and HCM scenarios to provide ready-to-use analytics, governed access to sensitive data, and embedded AI/ML capabilities.
Kent's application focus is on global procurement and supplier risk management. The company is a global energy services provider covering the entire energy chain, which expanded rapidly after its formation through a merger in 2021. Kent migrated thousands of users and dozens of systems to Oracle Fusion Applications while implementing Oracle Fusion Data Intelligence. The platform helps improve transparency into complex purchase orders, work confirmations, committed expenditure, and accrued costs, and uses the data for supplier risk management. For energy engineering service companies, purchase orders, project delivery, supplier performance, and safety and quality data are often distributed across multiple systems. If management cannot see expenditure commitments and supply risks in a timely manner, project execution faces cost overruns, delivery delays, and compliance pressures. Kent Senior Vice President Patrick Shearer stated that the platform gives management data visibility, contributing to a safer work environment and higher quality project delivery, hence the rapid internal adoption.
MTN's case focuses on cross-market financial and supply chain insights. Oracle disclosed that MTN is the largest mobile network operator in Africa, serving over 300 million subscribers. MTN chose Oracle Fusion Applications to standardize financial and supply chain processes and establish a unified business view; combined with Oracle Fusion Data Intelligence, the company has improved working capital visibility, optimized freight and customs performance, strengthened procurement and inventory management, and embedded AI-driven insights into daily workflows. A telecommunications operator's business chain typically spans multiple countries and markets, requiring unified data standards for network construction, equipment procurement, inventory turnover, customs logistics, and cost management. MTN Global Supply Chain Excellence Lead Arun Kumar stated that Oracle Fusion Applications and Oracle Fusion Data Intelligence help establish simpler, consistent business tracking practices and bring cross-functional insights into decisions related to cost management, operational efficiency, business resilience, and sustainable development goals.
The deployment cases of Heathrow Airport, Kent, and MTN show that enterprise data intelligence applications are shifting from "generating analytical results" to "embedding into business processes." Transportation hubs need to correlate passenger flow, revenue, personnel, and infrastructure investment; energy service companies need to place procurement, suppliers, and project quality within the same risk view; telecommunications operators need to form cross-market business tracking between finance, supply chain, and inventory. Oracle Fusion Data Intelligence, used in these three industry scenarios, derives its core value not from adding a data dashboard, but from connecting governed data, AI analytics capabilities, and business system workflows.
This article is compiled by Wedoany. All AI citations must indicate the source as "Wedoany". If there is any infringement or other issues, please notify us promptly, and we will modify or delete it accordingly. Email: news@wedoany.com
