Oracle Analytics Cloud is a secure public cloud service which provides a complete set of capabilities to perform and explore collaborative analytics for us, our workgroup, and our enterprise.We can also get flexible service management capabilities, including quick setup, quiet scaling and patching, and automated lifecycle management with Oracle Analytics Cloud. Features of Oracle Analytics Cloud are Data preparation, Data flow, Data discovery, Data visualization, Data collaboration and Data-driven.Data can be taken from any sourceand explore and collaborate with real-time datawith Oracle Analytics Cloud.
Oracle Analytics for Fusion ERP contains a pre-built data model executing on Oracle’s independent data warehouse. And it also comprises pre-built (KPIs) key performance indicators. Plus oracle administered a data pipeline that fills the client’s Oracle ERP cloud information into those predefined assets. In this manner, self-service analytics users get what they want something innovative. However, as it all runs on a similar podium that provides widespread analytics workloads, the analytics can be modified, comprehensive, or enriched via data from external mediums. Oracle declares that analytics for customer experience (CX), HCM as well as SCM are in the pipeline.
Oracle Analytics for Fusion ERP offers business persons and decision-makers with personalized analytics or superior cross line-of-business analytics. Via machine learning (ML) driven insights or self-service analytics users can monitor/enhance business performance furthermore align decisions or statistics across the enterprise through consistency.
Oracle Analytics for Fusion ERP consists of dashboards with visualizations delivered using the Oracle Analytics Cloud, relating the whole enterprise or join KPIs across functions for a complete view of enterprise performance.
Oracle Analytics gives power to customers through AI-powered self-service analytic ability for data research, visualization, enterprise reporting, and amplified analysis or natural language processing (NLP).
Analytics is also beneficial for businesses in many ways such as-
- Stumble-upon new business insights– You can determine new business insights that can finally assist or streamline industrial processes, thus improve or boost productivity.
- Expand marketing campaign – Through business analytics, what you have learned concerning your spectators or local competitors. Therefore you can transmit the right message to the right audience at the right time. You can even grow the competitive edge by making sure that you present something out of the box to your prospects.
- Growing sales– BI examples showcase that by mean of big data analytics to your lead, you can raise your sales. By taking the benefit of deep-rooted sales key performance indicators, every business can progress its bottom line.
- Improve financial efficiency – It mainly focuses ondeveloping a company’s business intelligence to spot possible cash flow matters and improve financial capability.
