Make strategic decisions to ensure your business success with the implementation of this robust data and analytics solution.
In the dynamic world of business today, leveraging data to drive strategic decisions is not just an advantage—it's a necessity. Oracle Fusion Analytics Warehouse is a cutting-edge enterprise data and analytics solution designed to help organizations make the most of their data. This cloud-based platform seamlessly integrates with Oracle Cloud Applications and other data sources, providing robust analytics capabilities that set it apart from the competition. FAW combines the strong capabilities of Oracle Analytics Cloud (OAC) and Oracle Autonomous Data Warehouse (ADW) into a unified platform.
What is Oracle Fusion Analytics Warehouse
Oracle Fusion Analytics Warehouse is a family of prebuilt, cloud native analytics applications for Oracle Cloud Applications that provides line-of-business users with ready-to-use insights to improve decision-making. It empowers business users with industry-leading, AI-powered, self-service analytics capabilities for data preparation, visualization, enterprise reporting, augmented analysis, and natural language processing. It is a Cloud application that delivers best-practice key metrics and deep analyses to help decision-makers run their business. Oracle Fusion Analytics Warehouse is built on top of Oracle Analytics Cloud and Oracle Autonomous Data Warehouse and runs on Oracle Cloud Infrastructure and is integrated with many infrastructure services.
Standout features of Oracle FAW
Seamless integration with Oracle Cloud applications
One of the standout features of Oracle Fusion Analytics Warehouse is its native integration with Oracle Cloud applications. This deep integration allows organizations to effortlessly pull data from various Oracle Cloud applications such as ERP, HCM, SCM, and CX. This means that data from critical business functions like finance, human resources, supply chain, and customer experience can be consolidated into a single analytics platform without the need for complex and costly ETL (Extract, Transform, Load) processes.
Automated data pipelines
The platform includes pre-built, automated data pipelines that extract data from Oracle Cloud applications and load it into a data warehouse optimized for analytics. These pipelines are designed to ensure data is continuously updated, providing near real-time insights and reducing the burden on IT departments.
Pre-built analytics models
Oracle Fusion Analytics Warehouse comes with pre-built analytics models tailored for Oracle Cloud applications. These models provide out-of-the-box reports, dashboards, and KPIs for various business domains, helping organizations quickly gain insights without the need for extensive custom development. Whether it’s financial analysis, workforce planning, or sales performance, these models cover a wide range of business scenarios.
Extensibility and integration with other data sources
Beyond its native integration with Oracle Cloud applications, Fusion Analytics Warehouse also offers the flexibility to integrate data from other sources. Organizations can easily bring in data from third-party applications, on-premises systems, or other cloud services, creating a comprehensive view of their business.
Customizable data integration
With Oracle Data Integrator (ODI), Fusion Analytics Warehouse supports robust extension capabilities. This allows businesses to build custom data pipelines that can handle complex data transformations and ensure high data quality. The flexibility to integrate data from various sources means that organizations can enrich their analytics with external data, providing deeper insights and more accurate forecasting.
Advanced analytics and machine learning
Oracle Fusion Analytics Warehouse leverages Oracle's advanced analytics and machine learning capabilities to deliver powerful insights. Users can take advantage of built-in machine learning algorithms to predict future trends, identify anomalies, and uncover hidden patterns in their data.
Predictive analytics
With predictive analytics, businesses can move beyond historical analysis to forecasting future outcomes. This capability helps in areas such as demand planning, customer churn prediction, and financial forecasting – enabling proactive decision-making.
Self-service analytics
The platform empowers users with self-service analytics, allowing business users to create their own reports and dashboards without needing IT support. This democratization of data helps foster a data-driven culture within the organization, as users at all levels can access and analyze the information they need to make informed decisions.
User-friendly interface and collaboration
Oracle Fusion Analytics Warehouse offers an intuitive, user-friendly interface that makes it easy for users to interact with their data. The platform's drag-and-drop functionality, along with its rich visualization capabilities, ensures that users can quickly create compelling reports and dashboards.
Collaborative analytics
Collaboration features enable teams to work together on analytics projects, share insights, and collectively drive business performance. Integrated annotation features allow users to comment on and discuss reports within the platform, fostering a collaborative environment that enhances the value of analytics.
Security and compliance
Oracle places a strong emphasis on security and compliance, ensuring that data is protected at all times. Oracle Fusion Analytics Warehouse inherits the robust security features of the Oracle Cloud Infrastructure, including data encryption, identity and access management, and regular security updates. It also inherits the security and data access of the Oracle Cloud applications to provide consistency across platforms.
Regulatory compliance
For organizations operating in regulated industries, Fusion Analytics Warehouse offers features that help meet regulatory requirements. Comprehensive auditing, data lineage, and compliance reporting tools ensure that businesses can maintain transparency and accountability in their data practices.
3 things to look out for in the future
- It appears that in late 2023, Oracle announced they are changing the name of FAW to Fusion Data Intelligence Platform (FDIP). These terms will largely be synonymous, but FDIP is technically being touted as the next generation version of FAW.
- I'm curious to see if and how Oracle plans to somehow integrate Oracle Health (formerly Cerner) with FAW, potentially providing the ability for health organizations to bring non-PII Electronic Medical Record (EMR) data into an enterprise analytics solution and marry it with ERP data.
- It will be interesting to see if there will be any licensing impacts to FAW. The overall vision is a unified platform and one-stop shop for analytics across the business, but not all consumers of data within organizations are created equally. As organizations consider their enterprise data strategy, they must balance the structuring and segmentation of report consumer groups with ensuring easy access to data.
We can help you leverage the power of Oracle FAW
Oracle Fusion Analytics Warehouse is a powerful enterprise data and analytics solution that enables organizations to unlock the full potential of their data. Its seamless integration with Oracle Cloud applications, extensibility to include other data sources, advanced analytics capabilities, user-friendly interface, and strong security features make it a standout choice for businesses looking to drive strategic decision-making through data. By providing real-time, actionable insights, Oracle Fusion Analytics Warehouse helps organizations stay ahead in a competitive landscape.
As a long-standing Oracle partner, Alithya is here to execute a flawless implementation of FAW or other Oracle Cloud applications for your business. Our Oracle ACEs and industry experts will ensure your technical tools facilitate desired business outcomes and provide reliable, unified data to measure those outcomes. Say goodbye to silos and hello to connected planning - contact us today to get started on your data project.