Oracle ML helps you leverage predictive analytics

August 1, 2023 | 3 minute read
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When people talk about using analytics to predict business outcomes, it can seem like the stuff of science fiction, conjuring images of a superhero like Tony Stark flicking visualizations across holographic screens, effortlessly adding and analyzing data. The reality may be less glamorous, but crucially, very real, and directly applicable to today's pressing business challenges.  

Jargon aside, using predictive analytics simply means mining a wide variety of data to identify trends, then using that information to model possible outcomes. Far from science fiction, it is within reach for most companies now. Thanks to machine learning, almost anyone can use predictive analytics to detect anomalies and predict outcomes. There are no requirements for other-worldly investment, advanced data science degrees, or superheroes.  

An illustrative example  

As a hypothetical scenario to show the potential of predictive analytics, consider the increased operational complexities, risk, and financial impacts from rising sea levels. You may need to aggregate, visualize, and analyze data from internal operations and external sources to respond to changing circumstances. Fusion Analytics makes this possible through an out-of-the-box integration with Oracle Fusion Cloud ERP and easy access to other data sources like weather, demographics, supply chain routes, and more. This allows you to see it all together—in a three-dimensional, geospatial visualization, no less—to really understand potential implications.  

See predictive analytics in action in this short video (1:30):

Highlighted capabilities

The capabilities in the video are a far cry from spreadsheets. It shows how Fusion Analytics users can: 

  1. Quickly grasp the impact of multiple related factors: See multiple predictions layered on one map. This seems simple but isn’t, so it’s good to have software that handles it for you. 

  1. Dive deep, from the highest level of detail to lowest: Sometimes you need to see the forest and the trees, like zooming in on a single address to understand the predicted impact to one individual dwelling when you’re analyzing hundreds of thousands of data points. 

  1. Easily answer complex questions: For example, you can use calculated values in the same ways that you use other kinds of data in Fusion Analytics. So instead of getting stalled by missing information, you can derive it from existing data, and then use calculated values for deeper analysis.  

Who can use it?

Fusion Analytics’ predictive capabilities are widely applicable across your company. For example, finance teams can use them for collections to see who is late on payments and to predict which customers pose revenue risks in the future (and to what extent). HR teams can use cluster analysis to compare locations to find correlations between employee and customer satisfaction (spoiler, happy employees create satisfied customers), or for diversity analysis to monitor the adverse impact indicators in hires, terminations, and promotions. 

Perhaps best of all, most data-savvy business professionals will be able to use these predictive capabilities without help to investigate scenarios and make decisions. You don’t have to be a data scientist. Customers of all types are using Fusion Analytics’ predictive capabilities today because they are a significant advancement that helps them run their businesses more successfully by anticipating and responding to changes.

Machine learning makes all this possible. Click the “Learn more” button to get more information on how Oracle Fusion Analytics can help you build a more resilient business.    

Additional resources

Check out these links for more examples of how predictive analytics might work in your business:  

If you're an Oracle Partner and want to learn more, visit the Oracle Partner Community.

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Fusion Development

The Fusion Development team is responsible for building, maintaining, and driving innovation on the Oracle Fusion Cloud Applications Suite, which includes Oracle ERP, EPM, SCM, HCM, and CX. Its members are based throughout the world with central offices in the US, India, Mexico, The Philippines, and Romania.


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