Many organizations and business functions are running data and analytics in silos, leading to ineffective reports and insights. This hampers visibility into the performance of their function drives, impacting the organization’s overall performance and goals. While tracking certain metrics could be useful for their specific process or function, it might not be aligned with the company’s overall strategy and business objectives.
With rapidly increasing competition and evolving global markets, businesses across different industries need to be agile and flexible to keep up with the pace of change. In this scenario, different business functions simply cannot continue to work in silos as they have in the past. This requires an analytics system that can improve alignment across the organization, enabling everyone from the C-suite to analysts to work together and collaborate effectively with each across different business functions.
Align KPIs across Multiple Business Functions with Oracle FAW
Oracle Fusion Analytics Warehouse (FAW) provides analytics for Oracle Cloud Applications, powered by Autonomous Data Warehouse (ADW) and Oracle Analytics Cloud (OAC). FAW provides a single layer on top of all operational data across different business functions – meaning users can track and measure their performance based on a single set of cross-organizational KPIs that are shared by different business functions.
For example, in most organizations, HR and Finance aren’t fully aligned in terms of KPIs and organizational goals. They operate in silos where HR tracks their performance by measuring metrics related to talent acquisition and employee satisfaction whereas from the company’s perspective, tracking how these employees are performing and contributing to the bottom line is more important. This means evaluating new hire performance in the context of financial outcomes.
But, in order to do this, you need to extract and analyze data from both Finance and HR. This allows organizations to create KPIs that can track how employee quality impacts revenues and profitability – which applies to both HR and finance and is aligned with overall organizational goals. This is the type of advanced analytics that is now possible with FAW.
With Oracle FAW, you can analyze data from your Oracle Cloud Applications to generate reports and visualizations. Oracle is the only technology provider that offers cloud applications spanning across all business functions including finance, human resources, marketing, sales, and supply chain – from the front office to the back office. All these applications are seamlessly integrated, on top of a common data model, empowering the cross-functional capabilities of FAW and creating KPIs that can accurately measure performance across the enterprise.
Why Oracle Fusion Analytics Warehouse?
Oracle FAW is a packaged service that includes Oracle Analytics Cloud (OAC) and is powered by Oracle ADW. It runs on Oracle Cloud Infrastructure (OCI) and is integrated with many infrastructure services. The service extracts and loads data from your Oracle Cloud Applications into an instance of Oracle ADW and uses OAC to customize existing dashboards or create new dashboards.
It consists of a data pipeline, data warehouse, semantic model, and best-practice content such as prebuilt KPIs, dashboards, and reports. Oracle manages the service starting with deployment through performance monitoring, upgrades, and maintenance for the pre-built content.
Oracle FAW is the analytics layer that sits on top of multiple cloud applications – both Oracle and non-Oracle and can pull in the data into a common instance of the ADW. Each of these applications potentially comes with it’s own unique data model but we still need to access and analyze data from these source applications. FAW allows customers to bring in data from other applications and provides a common data model that can be shared by all the different business functions in the organization. This enables customers to define cross-functional and shared KPIs and metrics.
As FAW is completely managed by Oracle, customers don’t need a dedicated IT team to manage their data pipeline. They can just define the parameters that control their data, and Oracle manages everything else in a fully automated way, meaning that there’s no impact to the business when new updates or security patches are rolled out.