Content validated on 10/31/2023 with
ADW Version Oracle Database 19c Enterprise Edition Release - Production Version 220.127.116.11.0
Oracle Cloud Application 23C (11.13.23.07.0)
Oracle Data Integrator on Marketplace ODI V18.104.22.168.230929
In today's data-driven world, having access to fresh data is a fundamental aspect of staying competitive and agile. It empowers companies to make informed decisions, minimize risks, enhance operational efficiency, and meet the evolving needs of customers and markets.
This document is an attempt to describe a technical architectural pattern for Oracle Fusion Application Cloud data extract at a higher frequency than it is typically used in a Data Management and Analytics context to enable organization to meet the data recentness requirements in a Finance, Supply Chain Management or Customer Experience context.
It will first describe the various business cases and benefits for the functional domains cited above.
Then it will describe the technical architecture on Oracle Cloud Infrastructure (OCI) of the proposed solution, specifically the Data Extraction layer and the Data Transformation and Load layer.
Having close to near real-time data updates in Enterprise Resource Planning (ERP), Supply Chain Management (SCM), and Customer Experience (CX) offers significant business benefits by providing decision-makers with up-to-date information. In today's fast-paced business environment, real-time data enables organizations to make agile and informed decisions. For ERP systems, it means that financial and operational data is constantly refreshed, allowing for precise financial forecasting, inventory management, and production planning. This, in turn, helps in optimizing resource allocation, reducing costs, and ensuring that business processes are aligned with current market conditions. In SCM, real-time data enables enhanced visibility into the supply chain, allowing companies to respond promptly to disruptions, optimize inventory levels, and meet customer demand efficiently. This results in reduced lead times, lower carrying costs, and improved customer satisfaction.
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This document discussed the importance of up-to-date data in various business domains, including Finance, Supply Chain Management, and Customer Experience. It emphasizes that near real-time data is crucial for informed decision-making, operational efficiency, regulatory compliance, and customer satisfaction.
It also introduced a technical architectural pattern for extracting Oracle Fusion Application Cloud data at a higher frequency, outlining the benefits and use cases for each functional domain.
It covered aspects like accurate financial reporting, improved supply chain visibility, and enhanced customer support. Additionally, it described a technical solution architecture involving Oracle Cloud Infrastructure (OCI) for efficiently extracting and managing data from Oracle Fusion SaaS Applications, highlighting components like Oracle Data Integrator, Data Extraction, Data Storage, Data Transformation, Load, and Analytics.
In summary, the text underscored the significance of up to date real-time data in modern business operations and presents a technical solution architecture for achieving high-frequency data extraction and management in Oracle Fusion SaaS Applications on OCI.
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The Oracle A-Team is a central, outbound, highly technical team of enterprise architects, solution specialists, and software engineers.
The Oracle A-Team works with external customers and Oracle partners around the globe to provide guidance on implementation best practices, architecture design reviews, troubleshooting, and how to use Oracle products to solve customer business challenges.
I focus on data integration, data warehousing, Big Data, cloud services, and analytics (BI) products. My role included acting as the subject-matter expert on Oracle Data Integration and Analytics products and cloud services such as Oracle Data Integrator (ODI), and Oracle Analytics Cloud (OAC, OA For Fusion Apps, OAX).