List of Oracle Big Data Service Customers
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Since 2010, our global team of researchers has been studying Oracle Big Data Service 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 Big Data Service for Analytics and BI 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 Big Data Service for Analytics and BI include: China Eastern Airlines, a China based Transportation organisation with 85168 employees and revenues of $18.35 billion, CaixaBank, a Spain based Banking and Financial Services organisation with 44500 employees and revenues of $12.49 billion, Clarin - A.G.E.A.S.A., a Argentina based Consumer Packaged Goods organisation with 1863 employees and revenues of $500.0 million and many others.
Contact us if you need a completed and verified list of companies using Oracle Big Data Service, 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 software purchases.
The Oracle Big Data Service 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 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 | Insight Source |
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CaixaBank | Banking and Financial Services | 44500 | $12.5B | Spain | Oracle | Oracle Big Data Service | Analytics and BI | 2013 | n/a | In 2013, CaixaBank implemented Oracle Big Data Service to build a centralized data pool for analytics and personalized marketing across Spain. The Oracle Big Data Service deployment, classified in the Analytics and BI category, was positioned to accelerate decision speed and enable predictive offers for customer marketing and analytics functions. The implementation centralized Hadoop-based data processing and used Oracle Big Data Appliance style architecture alongside Oracle Big Data Service components and Oracle Machine Learning for model development and scoring. Typical functional capabilities included data ingestion and consolidation into a centralized data pool, preparatory analytics workflows, and machine learning model training and inference to support predictive offer generation. Operational coverage extended across CaixaBank operations in Spain and focused on marketing and analytics teams as primary business functions impacted. Governance and process changes emphasized a centralized data repository and standardized analytics workflows, including model lifecycle management and consolidated data access patterns to support personalized marketing use cases. Outcomes called out in the implementation included faster decision making and the ability to deliver predictive offers, driven by the Oracle Big Data Service implementation and embedded machine learning capabilities. The deployment established a data and analytics platform foundation for ongoing analytics and personalized marketing initiatives across the bank. | |
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China Eastern Airlines | Transportation | 85168 | $18.4B | China | Oracle | Oracle Big Data Service | Analytics and BI | 2017 | n/a | In 2017, China Eastern Airlines implemented Oracle Big Data Service to support Analytics and BI workloads. Oracle Big Data Service was used to process large volumes of flight-sensor telemetry and QAR data to enable flight-safety analytics, predictive maintenance, and fuel-efficiency analysis across its China operations. Public case material references Oracle Big Data Appliance, so deployment to Oracle Big Data Service as a cloud or hybrid Hadoop analytics platform is inferred for these Analytics and BI workloads. The inferred architecture centralized streaming ingestion of sensor feeds and batch ingestion of QAR files into a distributed data lake, layered with SQL on Hadoop style query engines and machine learning pipelines for model training and scoring on the Oracle Big Data Service platform. Functional capabilities implemented included telemetry and QAR data ingestion, data normalization and enrichment, time series and event analytics for flight safety, predictive maintenance scoring for maintenance planning, and fuel-efficiency analytics to support operational decision making. The Oracle Big Data Service implementation supported analytics consumption through reporting and visualization for flight operations, maintenance, and safety oversight teams. Operational coverage focused on China network operations and fleet analytics, with governance controls inferred for sensitive flight-sensor and QAR data to meet aviation safety and regulatory needs. Integrations explicitly centered on aircraft flight-sensor feeds and QAR repositories, with the Oracle Big Data Service serving as the centralized Analytics and BI platform for cross functional analytic workflows. | |
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Clarin - A.G.E.A.S.A. | Consumer Packaged Goods | 1863 | $500M | Argentina | Oracle | Oracle Big Data Service | Analytics and BI | 2016 | n/a | In 2016, Clarin - A.G.E.A.S.A. implemented Oracle Big Data Service to consolidate large-scale audience, clickstream and advertising analytics into a unified analytics platform. The deployment explicitly targeted Marketing and Subscription optimization and is positioned within the Analytics and BI category to create a 360° audience view for teams operating in Argentina. The implementation centralized functional capabilities for audience unification, clickstream ingestion and advertising analytics, and integrated those workloads with Oracle Autonomous Data Warehouse and Oracle Big Data Appliance as reported publicly. Oracle Big Data Service was used to host cloud-based analytics and BI workloads, while Autonomous Data Warehouse provided curated analytical storage and the Big Data Appliance is cited as part of the broader data processing footprint. Governance and operational scope focused on cross-functional workflows spanning marketing, subscription management and advertising operations, with centralized data governance to standardize audience identity, event schemas and ad measurement. Public reporting links the combined Oracle Big Data Service and Autonomous Data Warehouse architecture to the creation of a 360° audience view and cites measurable revenue uplift tied to marketing and subscription optimization. |
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