Oracle’s roots are in managing data. Oracle Data Platform dramatically simplifies the end-to-end data lifecycle and delivers insights faster. Gain greater control over your data with a single platform that helps you collect, curate, and manage all your transactional, warehouse, analytical, and AI/ML assets. Whether you’re looking for an on-premises, hybrid, regulated, or public cloud solution, no organization is better equipped to support your data strategy requirements. Explore this page to discover the benefits of some of the latest innovations in modern data platforms.
Oracle Data Platform is designed with you in mind, offering a unique suite of services for the whole data stack.
We empower organizations with flexible workload deployment, seamless integration, and open solutions. At Oracle, we meet you where you are.
Get seamless integration across the entire data stack. Oracle's cloud apps, infrastructure, databases, and hardware offer a fully managed, unified data experience for businesses of any size.
Driven by new competition, changing business models, and mounting regulatory and compliance pressures, as well as the emergence of disruptive technologies, financial services leaders are using the cloud to increase profitability and improve customer experience. Oracle Data Platform offers cloud native capabilities, powered by AI and machine learning (ML), that are accelerating the development of hyperpersonalized digital banking services.
Here are some examples of how Oracle Data Platform is being used to address use cases such as customer experience, risk calculations, fraud detection, anti–money laundering, and others while meeting the regulatory requirements specific to the financial services industry.
Process transactions, such as deposits, withdrawals, and transfers, while also analyzing customer behavior and financial data to identify trends, make more-informed business decisions, and pursue new opportunities to elevate the customer experience, such as real-time product recommendations.
Analyze large amounts of transactional data to detect patterns and anomalies that may indicate fraudulent behavior. The combination of transaction processing and analytics allows your institution to quickly detect and prevent potential fraud while meeting your regulatory requirements.
Calculate your portfolio’s risk by analyzing various financial and market data sources. Oracle Data Platform can process large amounts of data, providing real-time risk assessments and helping your institution make informed investment decisions.
Minimize data silos and get real-time insights into operational performance, helping your institution identify areas for improvement and optimize processes. This can lead to increased efficiency, reduced costs, and improved customer satisfaction.
Healthcare is a “data needy” industry, and the methods used to collect data and the points of capture are wildly diverse, ranging from patients with phone apps to national databases. Data capture itself has become easy, but now patients, providers, and payers all want a more holistic picture. They want to predict, advise, and prevent disease from the cradle to the grave while addressing privacy concerns and complying with legislation such as the General Data Protection Regulation and California Consumer Privacy Act. With Oracle Data Platform, you can realize the value of all the available data sources to help improve patient outcomes and provide a seamless healthcare experience as the following use cases illustrate.
Identify current and future population healthcare needs. Capture, store, manage, and gain insights from data from admin, omics, clinical, and operational systems while limiting data silos.
Analyzing historical data on staffing models as well as the hours worked and sick time taken by healthcare practitioners and comparing it to patient outcomes can help your organization fine-tune your approach to staffing and case management.
Move toward a value system that prioritizes patient-centered activities, optimizing resources, and improving outcomes for both the patient’s health and the organization’s financial position.
Increase visibility and share access to the whole supply chain. Improve agility and make faster planning decisions and trade-offs, adjusting and monitoring plans as changes occur.
Today’s retailers need to overcome a continually evolving set of business problems. Some of these challenges include how to best strengthen their merchandising core while optimizing their inventory and how to truly know and understand who their customers are. Solving these problems while addressing the industry’s diverse regulatory and security issues can be daunting. Retailers around the world use Oracle Data Platform to address these challenges and develop new, revolutionary market services. The following use cases are just a few examples of how retailers are using the platform today.
Gather data on your customer’s location in and around your store, improve your marketing strategies, and offer customers personalized promotions.
By integrating your transaction database and your analytics solution, you can analyze raw operational data accurately and in near real time, helping you reduce complexity, eliminate data silos, and make better decisions.
Strategic pricing is one of the most important ways retailers can gain a market advantage. Oracle Data Platform helps retailers tailor their pricing strategies at the product level while easily aligning prices with their corporate and category goals across all selling channels.
Leverage data from your ERP and supplier performance indicators to train ML models to forecast supplier lead time.
Industrial product manufacturers face a significant challenge in adapting to the evolving digital world. Not since the introduction of the assembly line has manufacturing been subject to such a profound change in its day-to-day operations. Yes, manufacturers have always had to be lean and agile, but the question now is how manufacturers will survive and thrive in this more competitive digital world.
The digitalization of manufacturing operations and the value chain brings both challenges and opportunities. You must be willing to adopt transformational technology despite the cultural change it necessitates. You need to become nimbler and rethink business models, uncover opportunities to improve productivity, and drive innovation across core business operations. Moreover, you must embrace the new pace of change. The following use cases demonstrate how seamlessly Oracle Data Platform provides manufacturers with the capabilities necessary to address these new challenges.
Collect and store data from equipment, devices, and camera images. The platform then uses machine learning algorithms to analyze this data and identify any potential issues with the equipment, such as wear and tear or degradation. Based on this analysis, the platform can make predictions about when maintenance will be required.
Collect data locally on an isolated site from various sources, such as equipment, devices, sensors, and production management applications, to enable local analysis. Use the results for automated decision-making or field management decisions.
Gather all your manufacturing data from your manufacturing execution system, warehouse management system, computerized maintenance management system, and other maintenance systems into the powerful Oracle Data Platform to unlock real-time insights, predictive forecasting, and anomaly detection using AI services.
Ingest, store, manage, and gain valuable insights from multiple data sources related to health and safety, enabling you to detect trends early, identify incident root causes, and discover new alternatives to improve your organization's safety.
Connect and extend applications with real-time, consistent transactional data, efficient batch loads, and streaming data.
Simplify and accelerate application development and deployment on a secure and scalable database service.
Effortlessly analyze and gain insights from your data with a comprehensive data warehousing service.
Build a data lake using fully managed data services with lower costs and less effort.
Gain insights from data using prebuilt or your own AI/ML models. Accelerate your discovery using a wide range of in-database functions.
Transform your data into actionable insights with intuitive analytics and stunning visualizations.
Accelerate your development and delivery with a comprehensive, cloud-based service.
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