List of Oracle Management Cloud Customers
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Since 2010, our global team of researchers has been studying Oracle Management Cloud customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Oracle Management Cloud for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Oracle Management Cloud for ML and Data Science Platforms include: NTT Communications, a Japan based Professional Services organisation with 333840 employees and revenues of $91.68 billion, Daikin, a Japan based Manufacturing organisation with 96337 employees and revenues of $26.34 billion, Adani Ports & Special Economic Zone Ltd, a India based Transportation organisation with 2773 employees and revenues of $2.11 billion, Compasso, a United States based Professional Services organisation with 3800 employees and revenues of $1.80 billion, Berger Paints, a India based Retail organisation with 8300 employees and revenues of $1.33 billion and many others.
Contact us if you need a completed and verified list of companies using Oracle Management Cloud, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Machine Learning software purchases.
The Oracle Management Cloud customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Machine Learning software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Adani Ports & Special Economic Zone Ltd | Transportation | 2773 | $2.1B | India | Oracle | Oracle Management Cloud | ML and Data Science Platforms | 2016 | n/a |
In 2016 Adani Ports & Special Economic Zone Ltd deployed Oracle Management Cloud to apply machine learning across its heterogeneous IT estate. The company used Oracle Management Cloud as an ML and Data Science Platforms solution to target IT operations, application performance monitoring, and user experience analysis, with the CIO framing objectives to control manpower and better understand user experience.
Oracle Management Cloud was configured to ingest telemetry from infrastructure and applications, centralize logs, surface anomalies through machine learning, and deliver correlated event and performance analytics. The implementation emphasized log analytics, anomaly detection, predictive event correlation, and dashboarding to give operations teams actionable signals rather than raw alerts.
The deployment spanned the IT systems that support port operations, instrumenting both on premises and cloud-hosted components within Adani Ports environment. Governance was driven by the CIOs office, which reorganized monitoring workflows and operational handoffs to leverage machine learning insights for staffing decisions and user experience investigations.
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Astute Business Solutions | Professional Services | 150 | $20M | United States | Oracle | Oracle Management Cloud | ML and Data Science Platforms | 2017 | n/a |
In 2017, Astute Business Solutions implemented Oracle Management Cloud, selecting Oracle Management Cloud within the ML and Data Science Platforms category to introduce autonomous monitoring and management for IT operations. The deployment used Oracle Management Cloud as a cloud hosted platform to apply machine learning for anomaly detection and automation of routine operational tasks across the IT environment.
Oracle Management Cloud was configured to deliver continuous performance monitoring, centralized log analytics, and machine learning based operational analytics, enabling administrators to shift away from repetitive maintenance activities. The platform provided dashboards, alerting, and automated remediation workflows, removing the low level routine tasks that had been consuming a majority of administrator time. According to Arvind Rajan Chief Executive Officer at Astute Business Solutions this automation ultimately helped the company deliver greater service to its customers.
Operational scope centered on IT operations and service delivery teams within the professional services organization, with configuration and alerting workflows embedded into incident management practices. Governance adjustments included reassigning routine monitoring responsibilities and updating operator playbooks to take advantage of ML driven insights, aligning operational processes with the autonomous monitoring capabilities of the platform. The implementation underscores the relationship between Astute Business Solutions, Oracle Management Cloud, ML and Data Science Platforms, and core IT operations and service delivery functions.
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Berger Paints | Retail | 8300 | $1.3B | India | Oracle | Oracle Management Cloud | ML and Data Science Platforms | 2016 | n/a |
In 2016, Berger Paints deployed Oracle Management Cloud to apply machine learning to its mission critical Oracle E-Business Suite production application. The CIO described using Oracle Management Cloud's machine learning capabilities to surface performance anomalies and accelerate troubleshooting for the production environment. This implementation targeted IT operations and application support responsible for Oracle E-Business Suite availability and transaction performance.
The deployment used Oracle Management Cloud modules aligned with common ML and observability workflows, including log analytics, application performance monitoring, and predictive analytics, configured to ingest E-Business Suite application logs and performance metrics. Machine learning models were applied for anomaly detection and automated correlation across metrics and logs to reduce mean time to identify likely root causes. Oracle Management Cloud was used as the central analytics and alerting layer for ongoing operational telemetry.
Integration focused on the production Oracle E-Business Suite environment, capturing cross tier telemetry from application and database components and consolidating that telemetry into Oracle Management Cloud. Operational coverage centered on production support teams and IT operations, who consumed dashboards and ML driven alerts to prioritize incidents. The configuration emphasized continuous ingestion, model tuning, and dashboarding to align alerts with business critical transactions.
Governance was organized around IT operations workflows and incident handling, with the CIO highlighting how machine learning insights were folded into support processes and escalation paths. The implementation narrative positions Oracle Management Cloud, categorized as ML and Data Science Platforms, as the analytical engine Berger Paints uses to improve performance management for its Oracle E-Business Suite production application.
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Professional Services | 3800 | $1.8B | United States | Oracle | Oracle Management Cloud | ML and Data Science Platforms | 2017 | n/a |
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Manufacturing | 96337 | $26.3B | Japan | Oracle | Oracle Management Cloud | ML and Data Science Platforms | 2021 | Fujitsu |
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Communications | 9000 | $1.1B | India | Oracle | Oracle Management Cloud | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 333840 | $91.7B | Japan | Oracle | Oracle Management Cloud | ML and Data Science Platforms | 2017 | n/a |
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Buyer Intent: Companies Evaluating Oracle Management Cloud
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