This session will focus on the built-in capabilities of Oracle Analytics Cloud and OBIEE 12c to do predictive analytics and machine learning. Clustering, forecasting, anomaly detection are all available as single-click built-in functions using R.
The world of business analytics is rapidly changing. Technology is focused on bringing more and more functionality to end users and automating or obscuring many of the tasks that were the cornerstone of a number of technology careers.
Learn the fast and way to perform machine learning using SQL Developer 17.2’s Oracle Data Miner drag and drop workflow UI. Learn from multiple experts in the room who will provide 1:1 coaching, guidance and instruction as requested in performing several hands on tutorials. Ask questions, get answers and come away with a comfort level of using Oracle’s machine learning capabilities in your use cases.
This session answers architecture questions related to the overall structure and strategy for an enterprise analytics system. How do we design a data warehouse for analytics purposes? What do we integrate into a central warehouse or maintain in separate data marts? How do we integrate long term storage systems that we need to query only occasionally? Data lakes? Big Data??
Oracle Database 12c now includes property graphs - a powerful feature that goes beyond relational, to analyze relationships in big data, such as finding the most influential people in a social network, discovering patterns of fraud within financial transaction data, or recommending products based on what similar customers are buying.
Oracle Analytics Cloud (OAC) brings the power of Oracle BI to the Oracle Cloud, including the headline from Oracle OpenWorld: Machine Learning. See a live demonstration of OAC 17.4.5. OAC prior version customers: add Machine learning and lots of other new features. OBIEE (Oracle BI Enterprise Edition) customers: move your content to the Oracle cloud to save on administrative headache and add new features.
Oracle Analytics Cloud (OAC) brings the power of Oracle BI to the Oracle Cloud, including the headline from Oracle OpenWorld: Machine Learning. See a live demonstration of OAC 4. OAC prior version customers: add Machine learning and lots of other new features. BICS (BI Cloud Service) and DVCS (Data Visualization Cloud Service) customers: control your own instances and license Oracle Analytics software by the OCPU instead of having to license by user. OBIEE (Oracle BI Enterprise Edition) customers: move your content to the Oracle cloud to save on administrative headache and add new features.
What training and guidance beyond the built-in suggestion engine should you employ? How do and when should you include Visual Analyzer insights on existing OBIEE dashboards? How does Visual Analyzer change the way we visualize data and develop analyses and dashboards?
Would you like to be among the first to know about the latest features of Oracle Analytics? Fresh out of Oracle OpenWorld: the headline latest is the new Machine Learning capabilities in the Oracle BI stack.
Everyone wants to integrate data mining and predictive analytics into their finance and business processes, but where do you start when your team members aren’t data scientist PHDs and you loathe to send your data to an outside firm?
Many organizations encounter situations where they have report requirements that simply cannot be achieved with the built-in functionality of Oracle Business Intelligence (OBI), including Oracle Analytics Cloud (OAC). However, OBI provides the functionality to integrate your data with JavaScript libraries such as D3 to create custom interactive visualizations in Answers, Data Visualization, and Data Visualization Desktop.
Individual events affect your business. So why is it that we always seem to look at sums and averages? In this case study, we will examine the application of a business intelligence tool on measuring the safety of the transportation industry. It’s all about events that take place in a traffic corridor, at specific points in time.
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