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MenuMenuContact SalesSign in to Oracle CloudOracle’s roots are in managing data. Oracle Modern 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.
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Why choose Oracle Modern Data Platform?
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Complete
Oracle Modern Data Platform is designed with you in mind, offering a unique suite of services for the whole data stack.
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Open
We empower organizations with flexible workload deployment, seamless integration, and open solutions. At Oracle, we meet you where you are.
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Intelligent
Enrich your data with embedded intelligence. Benefit from the latest AI innovations to surface insights directly inside the apps that support your key business functions.
Oracle Modern Data Platform
Data platform featured use cases
- Financial services
- Healthcare
- Retail
- Manufacturing
- Public sector
- Utilities
- Communications
Financial services data platform
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.
Customer 360 experience
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.
Read the use case for the customer 360 experience
Fraud prevention and anti–money laundering
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.
Read the use case for the fraud prevention and anti–money laundering
Risk calculations and regulatory reporting
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.
Read the use case for the risk calculations and regulatory reporting
Operational efficiency
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.
Read the use case for the financial services operational efficiency
Learn more about OCI for Financial Services
Healthcare data platform
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.
Population healthcare management
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.
Read the use case for the Population healthcare management
Optimize medical staff workloads and case management
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.
Read the use case for the optimize medical staff workloads and case management
Value-based care with performance monitoring
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.
Read the use case for the improve value-based care with performance monitoring
Supply chain optimization
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.
Read the use case for the supply chain optimization
Learn more about OCI for Healthcare
Data platform for retailers
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.
Merchandising optimization: Predict, sense, and shape demand
Gather data on your customer’s location in and around your store, improve your marketing strategies, and offer customers personalized promotions.
Read the use case for the merchandising optimization
Live data analysis
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.
Read the use case for the live data analysis
Price optimization
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.
Read the use case for the price optimization
Forecasting supplier lead time
Leverage data from your ERP and supplier performance indicators to train ML models to forecast supplier lead time.
Read the use case for the forecasting supplier lead time
Learn more about OCI for Retail
Data and digitalization for manufacturing
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.
Predictive maintenance and asset availability optimization
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.
Read the use case for the predictive maintenance and asset availability optimization
Plant data consolidation
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.
Read the use case for the plant data consolidation
Operational efficiency and performance
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.
Read the use case for the manufacturing operational efficiency and performance
Health and safety
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.
Read the use case for health and safety
Learn more about OCI for Manufacturing
Public sector data platform
Public sector agencies, ranging from local government offices to national departments, are entrusted with critical responsibilities that impact the lives of citizens. And in today's data-driven world, the ability to harness and analyze information is a cornerstone of effective governance and public service delivery.
Public sector agencies must make decisions that affect policies, budgets, service provisioning, and infrastructure development, often in complex and dynamic environments. To do this and to fulfill their responsibilities efficiently and transparently, they must have better visibility into their data. The following use cases demonstrate how Oracle Modern Data Platform allows public sector organizations to use data to support informed decision-making and help improve the lives of the citizens they serve.
Improve Social Services Needs Assessments and Enable Proactive Intervention
Learn how integrating data and analytics into social care needs assessments represents a paradigm shift in the way we approach and deliver social care services.
Read the use case on how to improve social services needs assessments
Energy and water data platform
Grappling with aging infrastructure, fluctuating natural resource prices, and increased competition, utilities face the pressing need for sustainable operations amid new energy resources and security challenges. Adopting cloud technology is key for real-time supply-demand management, customer engagement, and ensuring robust security against emerging threats.
Oracle Modern Data Platform, with its integrated applications and secure infrastructure, enables utility providers to manage new grid data and devices, predict asset failures, encourage energy-saving behaviors, and meet sustainability goals, all while ensuring reliable, affordable service.
Optimize vegetation management with AI and spatial analytics
See how Oracle Modern Data Platform can help IT professionals apply spatial analytics to vegetation management, enabling their organizations to reduce revenue loss from power outages and take better predictive measures.
Read the use case for Optimize vegetation management with AI and spatial analytics
Improve Wind Turbine Performance with Data & ML
Learn how to improve the operational performance of wind turbines by using machine learning to accelerate response time.
Read the use case for operational performance of wind turbines
Watch the webinar
Learn more about OCI for Utility
Communications data platform
Communications service providers (CSPs) need to maintain complex networks and capitalize on 5G advancements while facing challenges such as declining customer loyalty and operational inflexibility. To move beyond mere connectivity and drive new revenue streams, CSPs rely on open, secure cloud applications and infrastructure for automation and optimized network performance. This allows them to offer personalized services, including consumer subscriptions and enterprise IoT and zero-latency B2B2X offerings, while enhancing safety and efficiency in high-risk environments.
Oracle Modern Data Platform offers the infrastructure and solutions CSPs need to transition from traditional telecommunications companies to "techcos".
Provide real-time personalized offers based on customer location, device, and usage
Learn how Oracle Data Platform allows CSPs to provide real-time personalized offers based on customer location, device, and usage.
Read the use case for provide real-time personalized offers based on customer location, device, and usage
Learn more about OCI for Communication
Data platform articles and technical briefs
The Enterprise-wide Benefits of a Comprehensive Data Platform (PDF)
Oracle Data Platform Meets Apperson Jack Rabbit: Different Century, Same Outcome (PDF)
Oracle’s Data Platform Gets and EPYC Boost (PDF)
Making the Complete Data Platform a Reality (PDF)
Oracle Builds a Most Compelling Data Platform on a Next-gen Public Cloud (PDF)
Next-Gen Data Platforms For Dummies® (PDF)
Related data platform products and services
Data integration
Connect and extend applications with real-time, consistent transactional data, efficient batch loads, and streaming data.
- OCI Data Integration
Simplify your complex data extract, transform, and load processes (ETL/E-LT) into data lakes and warehouses for data science and analytics with a no-code data flow designer. - Oracle Data Integrator
Data Integrator provides advanced data migration for extract, transform, and load. Oracle Data Integrator is optimized for Oracle cloud databases as well as on-premises databases. - Oracle GoldenGate
Oracle GoldenGate enables high-availability, real-time data integration, change data capture, data replication, transformations, and verification between operational and analytical enterprise systems. - OCI Streaming
Streaming provides out-of-the-box integrations for hundreds of third-party products across categories such as DevOps, databases, big data, and SaaS applications. - Oracle Autonomous Database Data Studio
Data Studio provide a simple, self-service environment for loading data and making it available for collaboration among extended teams. Business and data analysts can quickly discover anomalies, outliers, and hidden patterns and understand data dependencies and the impact of changes.
Transaction processing
Simplify and accelerate application development and deployment on a secure and scalable database service.
- Oracle Autonomous Transaction Processing
Autonomous Transaction Processing is a fully automated cloud database service for developing and deploying applications, with support for multiple data types and a wide range of functions, APIs, and tools. - Oracle MySQL HeatWave
MySQL HeatWave is a fully managed database service. It’s the only cloud database service that combines transactions, real-time analytics across data warehouses and data lakes, and machine learning in one MySQL Database—without the complexity, latency, risks, and cost of ETL duplication.
Data warehousing
Effortlessly analyze and gain insights from your data with a comprehensive data warehousing service.
- Oracle MySQL HeatWave
MySQL HeatWave is a fully managed database service. It’s the only cloud database service that combines transactions, real-time analytics across data warehouses and data lakes, and machine learning in one MySQL Database—without the complexity, latency, risks, and cost of ETL duplication. - Oracle Autonomous Data Warehouse
Autonomous Data Warehouse is a fully automated cloud database service that enables data scientists, business analysts, and nonexperts to rapidly and easily discover business insights using data of any size and type. - Oracle Graph
Oracle Graph enables customers to understand relationships and connections in data and detect patterns for new insights without the need to set up a separate graph database and move data. - Oracle Spatial
Oracle Spatial enables customers to build location-enabled mapping services and advanced geospatial systems using data types, models, services, and tools for spatial data management, analytics, and visualization.
Data lake
Build a data lake using fully managed data services with lower costs and less effort.
- OCI Object Storage
Object Storage enables customers to store any type of data in its native format. This is ideal for building modern applications that require scale and flexibility. - OCI Data Catalog
Data Catalog helps data professionals across the organization search, explore, and govern data using an inventory of enterprisewide data assets. - OCI Data Flow
Data Flow is a fully managed Apache Spark service to perform processing tasks on extremely large datasets without infrastructure to deploy or manage. This enables rapid application delivery because developers can focus on app development, not infrastructure management. - Oracle Big Data
Big Data Service is a Hadoop-based data lake service to store and analyze large amounts of raw customer data. A managed service, Oracle Big Data Service comes with a fully integrated stack that includes both open source and Oracle value-added tools that simplify your IT operations.
AI and machine learning
Gain insights from data using prebuilt or your own AI/ML models. Accelerate your discovery using a wide range of in-database functions.
- OCI AI Services
AI Services is a collection of services with prebuilt machine learning models that make it easier for developers to apply AI to applications and business operations. The models can be custom-trained for more accurate business results. - OCI Data Science
Rapidly build, train, deploy, and manage machine learning models with a data science service built for teams. - Machine Learning in Oracle Database
Machine Learning in Oracle Database supports data exploration, preparation, and machine learning modeling at scale. - MySQL HeatWave AutoML
MySQL HeatWave AutoML includes everything users need to build, train, deploy, and explain machine learning models within MySQL HeatWave, at no additional cost.
Analytics / visualization
Transform your data into actionable insights with intuitive analytics and stunning visualizations.
- Oracle Analytics
Oracle Analytics is a complete platform that offers valuable, actionable insights from all types of data. It empowers business users, data engineers, and data scientists to access and process relevant data, evaluate predictions, and make quick, accurate decisions. - Oracle Autonomous Database Data Studio
Data Studio provide a simple, self-service environment for loading data and making it available for collaboration among extended teams. Business and data analysts can easily load and transform data with drag-and-drop capabilities and generate business models.
Application development
Accelerate your development and delivery with a comprehensive, cloud-based service.
- Oracle APEX
Oracle APEX is a low-code development platform that customers use to build scalable, data-driven applications that run on-premises or in the cloud. - Cloud native services
Cloud native and AI are at the core of your next software innovation. Oracle Cloud Infrastructure provides the fastest time to value for any organization looking to innovate by building modern apps and future-proof for the next evolution in digital transformation.
Oracle Modern Data Platform partner ecosystem
Oracle partner solutions leverage and augment data lakehouses on OCI.
Informatica is the preferred partner for data integration and governance for data warehouse and lakehouse solutions.
Learn more about the partnership
Learn why more than 400,000 customers trust Oracle
Insights from industry analysts and experts
The Wall Street Journal
"The new service connects Oracle’s database service directly to the Azure cloud, eliminating custom work that previously would have been required."
—Steven Rosenbush, Bureau Chief, The Wall Street Journal
Forbes
"Oracle is making all the right moves, and customers are voting with dollars."
—Patrick Moorhead, Senior Contributor, Forbes
CIO
"Oracle and Microsoft have closely integrated their infrastructure in the regions most important to Reale, allowing the company to build high-speed interconnects between applications running in each cloud."
—Peter Sayer, Senior Editor, CIO
The Wall Street Journal
"Most of Guitar Center’s data and applications have now been moved onto Oracle’s cloud and Exadata database service, [Guitar Center CTO] Ravi Balwada said, helping the retailer save about $1.5 million over the past year."
—Belle Lin, Reporter, The Wall Street Journal
Oracle Modern Data Platform customers
Explore more data platform stories
Financial services
Experian accelerates financial inclusivity with a data lakehouse on OCI.
Read the Experian story
Mining
MineSense achieved 5X faster queries with a lakehouse on OCI.
Read the MineSense story
Advertising
Beso unified data from 23 online sources with a variety of offline sources to build a data lake that will expand to 100 sources.
Read the Beso story
Sports technology
With a data lakehouse from Oracle, the Seattle Sounders manage 100X more data, generate insights 10X faster, and have reduced database management.
Read the Seattle Sounders story
April 19, 2023
Oracle Database Services on OCI are Faster and More Flexible with AMD EPYC™ Processors
Carl Olofson, Vice President, IDC
Oracle Database services on OCI are the linchpins of Oracle Data Platform, a comprehensive, open, and integrated environment that helps organizations get the most value out of their data with consistent governance, security, and performance with a minimal amount of integration.
Read the complete post
Featured Blogs
- November 21, 2022Essential reading: Explaining modern data management (Part 1)
- December 8, 2022Essential reading: Explaining modern data management (Part 2)
- December 15, 2022Essential reading: Explaining modern data management (Part 3)
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