G2

Soumya Deep D.

Software Developer

Mid-Market (51-1000 emp.)

2/3/2024

"The vision of Oracle Fusion Analytics for B2B sales"

5/5

What do you like best about Fusion CX Analytics?

The Oracle Fusion CX analytics platform has been generally designed for B2B sales business processes. Upscaling business intelligence and experience has been my passion since I began working and so I consume Oracle Analytics Cloud at my best. Keeping in mind, the customer experience, as is relevant from the name CX, it is an integration and sales lifecycle management tool for enterprise level applications. Preferably, the insights and historical analysis enables running predictive analytics and AI using data sources. We can use the analytics tool for sentiment analysis to enhance customer satisfaction. Complex integration with Saas CRM applications can be enabled to deliver real time data and customer interaction capabilities. We can generate leads and drive sales using opportunity management and sales forecasting. Inventory management is another feature which can be implemented to perform cross selling and improved resource allocation. Various analytics and reports, highly dynamic visualisations and dashboards can be created using AI and machine learning at ease. The drag and drop feature as well as the application structure is very likely and the quality and standards excites me a lot. Customizations can be done at any level and pools can be created at auth level to build providers and SKUs user accesses. The platform is accessible using web and standalone application extensions in web and even in mobile mode. Customers can be converted from leads to opportunities and finally to sales representatives very favorably and we can track the KPIs and sales revenue at each stage of the lifecycle through advanced reporting and real time dashboarding. The UI provides a large repository of metrics and a SaaS builder to enable development of the analytics tools through which we can connect to our own codebase. I think these are the most basic features which opens up a world of sales and business to grow manpower and efficiency that streamlines all levels of customer and consumer independancy. Review collected by and hosted on G2.com.

What do you dislike about Fusion CX Analytics?

The UI interface of Oracle Fusion CX Analytics is vast and thus lacks intuition. Many complex integrations can be difficult to handle sometimes which makes the learning curve steep. This lack of flexibility and customization can lead to inefficiency and dissatisfaction. Speed of business processes and operational excellence can be sometimes misleading due to low server response times and technical issues. Thus performance issues are very frequent as there also may be inadequate customer call center support. Might be, in some cases the tools used in the platform like query builders or data mappers can lack features. And sometimes the data sources might need to be imported as template driven approach may not be essentially applicable in our design. Licence issues pose a serious problem as the cost of using the platform is very high and can be afforded by enterprises only. Also standalone extensions are very rarely used and require extensive modelling and programming. Robust and unresponsive analytics can pose a threat to lessened UX and CX and other issues may result if not handled by experienced professionals with care. Review collected by and hosted on G2.com.

What problems is Fusion CX Analytics solving and how is that benefiting you?

I had managed the sales pipeline very easily and efficiently using the sales analytics CX platform. The scripts in groovy and SQL were very handy while I did sales forecasting using the dynamic reporting facility in various large and medium sized business deals. As a database developer and analyst I had led higher scoring of leads and improved prioritisation and efficitivity of sales lifecycle. Using the AI features and machine learning segmentation methods, I had analysed customer behavior and optimised sales strategies. I had analysed market upselling and campaigns through sales team and customer engagement. My data driven approaches were improved and B2B designs that I had structured had managed well tailored inventories, shipments and reduced liquidities and downstream business flow. Customer satisfaction and overall customer experience had processed enabling data driven business strategies and goals. Accurate sales forecasts were achieved this, all valid and profitable deals managed and closed for my company. Moreover, all these events were well balanced by the Oracle Sales CX Analytics platform which aided enhancement of business planning and historical analysis. Review collected by and hosted on G2.com.