Enterprise Data Visualization: Executive Dashboards and Managerial Displays | September 30,2020

Evidence-based decision making depends on the objective presentation of data. Business intelligence dashboards and analytics systems require visualizations that are grounded in cognitive science and guided by skilled practitioners. You’ll learn not only when to use which visualizations, but also which common mistakes to avoid. You’ll get key frameworks to determine how much effort and time to invest in different dashboards and how to balance analytic depth and quick-read insights. You’ll learn how to quickly spot effective designs and replace splash with class.

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Autonomous Machine Learning in Oracle Analytics: Enterprise Predictive Analytics for Everyone

Oracle Analytics release 5.7 features tighter integration between Oracle Analytics and Machine Learning capabilities of the Oracle database, including the Oracle Autonomous Database. We are now seeing the next major wave in predictive analytics and machine learning in which business users only bring their domain expertise and allow their analytics systems to make recommendations and manage the high math computations. In this special webinar, we’ll walk you through how Oracle Analytics can leverage truly enterprise scale machine learning models and capabilities in Oracle Autonomous Data Warehouse Cloud and Database Cloud Service.

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Fueling Retail Loyalty: Cloud Data Warehousing and Analytics at Drop Tank – TechCast Days 2020

Drop Tank manages gas station loyalty technologies and programs for many of America’s best-known fuel brands. Millions of transactions and diverse POS systems bring complexity of both scale and scope to their cloud-based data warehouse and analytics system. You’ll hear how ADW, OAC, ODI and Oracle CX cloud work together to provide reporting and analytic insight to marketers and program managers. This real-world case study will highlight what worked well, what didn’t, and what the future promises.

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Challenges, Solutions, Workarounds: Making Analytics Systems Work – TechCast Days 2020

It all sounded so great. Everybody has easy access to all the data. But we all know it’s not that simple. Hear from a panel of experts on how they work around various issues that come up when implementing real-world Analytics systems. The panel will include Philippe Lions, Oracle Analytics Product management, Dan Vlamis, Oracle ACE Director and President of Vlamis Software Solutions, and Edelweiss Kammermann, Oracle ACE Director and BI Manager of IT Convergence.

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Category 5 Analytics: How OUTFRONT Media Maps Hurricane and Other Risks – TechCast Days 2020

OUTFRONT Media has thousands of billboards susceptible to hurricane force winds. How do they calculate the risk and visualize which sites are the most vulnerable? See how Oracle Analytics Cloud, Autonomous Data Warehouse, and Spatial Studio come together to create interactive maps. You’ll see geo-spatial calculations done with open-source hurricane data and OUTFRONT’s data warehouse data in the new Spatial Studio interface.

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Starting with Oracle Data Science in the Cloud

Everyone knows they should be integrating data mining and predictive analytics, but it can be challenging to discuss the merits of a project before team members share a common understanding of data science and predictive analytics. We will share a detailed outline of the best practice methodology for getting clients started with Oracle Data Mining and Oracle R Enterprise, how we develop that common understanding using "live" software, and how to facilitate brainstorming sessions to identify projects with the highest ROIs.

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Fueling Retail Loyalty: Cloud Data Warehousing and Analytics at Drop Tank

Drop Tank manages gas station loyalty technologies and programs for many of America’s best-known fuel brands. Millions of transactions and diverse POS systems bring complexity of both scale and scope to their cloud-based data warehouse and analytics system. You’ll hear how ADW, OAC, ODI and Oracle CX cloud work together to provide reporting and analytic insight to marketers and program managers. This real-world case study will highlight what worked well, what didn’t, and what the future promises.

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