Oracle has expanded the capabilities of Fusion CX Analytics to include a new prebuilt managed data pipeline to Oracle’s Configure, Price, and Quote (CPQ) Solution. Now you can conduct Quote-to-Cash analysis to better understand how renewal generation and contract standardization affect continued engagement and margin. Additionally, Fusion CX Analytics offers a new native connection to Salesforce CRM, providing greater flexibility and reduced complexity in getting a consistent, accurate view of business-critical data in a single cloud solution.
Fusion CX Analytics launched just over a year ago with a focus on combining Marketing, Sales, and Service data in a unified analytic solution to power revenue transformation. Previously, collecting, blending, and using this data – often originating from separate source systems – involved slow, error-prone manual processes, making it hard to quickly and accurately identify errors or gaps.
Now you can easily answer key customer experience questions and confidently predict future outcomes without having to code thanks to Fusion CX Analytics, which uses embedded machine learning (ML) and data from other sources beyond Oracle Cloud Applications to enrich analysis and automatically surface new insights. Secure self-service capabilities enable teams to access, combine, and leverage all relevant data, giving them a holistic view within one analytics application, without requiring specialized skills.
The new Oracle-managed data pipeline to Oracle CPQ means it’s easy to get a unified view of opportunity-to-order tracking, account ROI, the quote-to-cash process, and more spanning the front and back office.
A real-world example of getting value from these capabilities is Lattice Semiconductor. A fast-growing, $600 million global company that serves end market segments in communications and computing, industrial, automotive, and consumer production, Lattice has already implemented Oracle Sales Cloud, Oracle CPQ, and Sales Performance Management, and was looking for a solution to support their global presence across multiple teams.
They needed to blend data from multiple sources including Oracle Sales Cloud, Oracle Configure Price, and Quote, their ERP system, and a distributor revenue management system, but didn’t have either the self-service capabilities or the advanced analytics they required, specifically to understand quote cycle time. That meant they were building numerous one-size-fits-all reports and dashboards, which often didn’t address the analytics needs of individual sales reps.
Lattice was impressed with the maturity of Oracle’s CX solution and how quickly they were able to implement Fusion Analytics to explore their CPQ data.
“I was amazed at something like this that was already available, ready to use. We had tried to custom build a CPQ-to-Sales Cloud integration, but it was really challenging, so we’re happy that Fusion Analytics gives us that flexibility to tap into CPQ data. Previously running a report to understand consumption allocation across opportunities took about 45 minutes, and sometimes only returned the answer that I had ‘exceeded the number of rows.’ I logged into Fusion CX Analytics, and it took me about 30 seconds to get the answer I was looking for. I have shown this to my business users, and they were amazed with the speed at which we can get that data.”
Raja Malladi, Senior Manager, Enterprise Applications, Lattice Semiconductor
Easy access to any data, from Oracle sources and beyond, is foundational to the Oracle Fusion Analytics family. The addition of a native connection to Salesforce CRM in Fusion CX Analytics stems from Oracle’s commitment to flexibility and insights for customers. Now, Oracle customers who are also Salesforce CRM users can more easily blend CRM data with Marketing, Service, Subscription, and Quotes data for analysis while reducing complexity and ensuring a consistent, accurate view of business-critical information.
For more information on Oracle Fusion CX Analytics, take a free product tour.
Senior Product Marketing Manager, Oracle Analytics