Data Visualization & Advanced Analytics

Oracle Data Visualization & Advanced Analytics at the ODTUG Kscope17 Conference

The ODTUG Kscope17 conference brings together the best and brightest experts when it comes to Oracle Digital Visualization and Advanced Analytics storytellers. As we collect, mine, and store massive data sets, the need to package and visualize information is mission-critical.

Oracle Data Visualization:

Learn how to use Oracle DV within OBIEE, in the Oracle DV Cloud Service, and on the desktop. Unlock all the data visualizations that are available to you and discover ways to create brilliant data mashups to tell the best story possible for your business or client. 

Oracle R and Oracle Data Mining:

Using Oracle R, Oracle Data Mining, and the Advanced Analytics Database Option to produce statistical models and visualization, you’ll learn how to predict customer behavior; reduce customer churn; analyze market baskets to discover relationships, patterns, and associations; detect anomalies; and prevent fraud. 

Check out the presentations listed below.

Integrating Raspberry Pi Sensors with Data Visualization
Justin Baker , Oracle Corporation
When: Jun 28, 2017, Wednesday Session 12 , 9:45 am - 10:45 am
Topic: Data Visualization & Advanced Analytics - Subtopic: Oracle Data Visualization

The introduction of IoT devices such as the Raspberry Pi and services such as IFTTT have disrupted whole industries overnight and spawned an army of machines gathering sensor data and home automation capabilities to better our lives for a fraction of the cost before. In this session, we will explore how integrating IoT device sensor data with Oracle Data Visualization and IFTTT can help us hold both Mother Nature and our ISPs accountable in this new disruptive landscape.

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Expanding Your Data-Driven Story: The Next Chapter
Mike Durran , Oracle Corporation
Co-presenter(s): Stewart Bryson, Red Pill Analytics
When: Jun 27, 2017, Tuesday Session 9, 3:15 pm - 4:15 pm
Topic: Data Visualization & Advanced Analytics - Subtopic: Oracle Data Visualization

Oracle Data Visualization (DV) makes it easy to get insight from your data. This stunningly visual and intuitive product enables you to access, blend, and wrangle a variety of sources – including spreadsheets, databases, and applications – and tell the story of your data. In this session, learn about the power of data storytelling and the latest capabilities of Oracle DV (including details of product roadmap) to create compelling analytic narratives, including how you can rapidly apply advanced analytic techniques to gain insights previously only accessible to advanced users. Learn about how Oracle DV has been used in real-life scenarios to gain insight and improve business performance.

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Oracle R Enterprise and Data Visualization: Combining Their Power Leads to New Possibilities
Holger Friedrich , sumIT AG
When: Jun 28, 2017, Wednesday Session 16 , 4:15 pm - 5:15 pm
Topic: Data Visualization & Advanced Analytics - Subtopic: Other

In advanced analytics, the R language with its different distributions became the de facto standard in recent years. In visualization, tools such as Oracle Data Visualization, QlikView, and Tableau for data exploration and flexible analyses are spreading rapidly. However, using data viz tools interactively on top of advanced analytics such as R is often hard because either they lack integration or the performance of R installations is just not good enough for interactive analyses or computation of massive data sets on a regular, e.g. nightly, or even an ad hoc basis. This problem can be solved by combining the use of Oracle Data Visualization (Data Viz) and Oracle R Enterprise (ORE). While ORE can run directly on large database servers, making full use of their massive computational power and parallel execution of R code, Data Viz offers immediate access to analytic results and can string them together with all sorts of other data available for exploration and further analysis. This talk explains the concept and advantages of using ORE and Data Viz in combination. Live demonstrations will illustrate the solution. Attend to get inspirations for solutions to your own business challenges and projects.

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Build Your Own Infographics Using the Data Visualization SDK
Antony Heljula , Peak Indicators Ltd
When: Jun 26, 2017, Monday Session 4 , 3:15 pm - 4:15 pm
Topic: Data Visualization & Advanced Analytics - Subtopic: Oracle Data Visualization

Oracle Data Visualization has already made a huge impact with its excellent visualization and storyboarding features. This session will demonstrate how to take these capabilities one step further by using the Data Visualization SDK. The SDK provides the tools for developing your own custom visuals within Oracle Data Visualization, enabling you to deliver sophisticated infographics that can tell your stories in new and exciting ways!

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Advanced Data Visualization Techniques Using Oracle BI Cloud Service (BICS): A Cal State Pilot Case Study
Viet Hoang , California State University, Los Angeles
Co-presenter(s): Kirby Lunger, Performance Architects
When: Jun 27, 2017, Tuesday Session 6 , 8:30 am - 9:30 am
Topic: Data Visualization & Advanced Analytics - Subtopic: Other

Join California State University (Cal State) to learn about how Cal State developed a pilot Oracle BI Cloud Service (BICS) solution with multiple subject areas across the institution so its team can use advanced data visualization techniques to better analyze and report on college data. During this session, we will demonstrate several visualization techniques you can employ in your own organization to find that “needle in a haystack” to address your own burning business questions. We will also discuss data integration techniques for both proprietary and third-party data sources as well as how to organize for success, how to get a pilot project funded, and next steps for this initiative.

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Oracle Data Visualization for the Finance Analyst
Kevin McGinley , Red Pill Analytics
Co-presenter(s): Tim German, Qubix
When: Jun 26, 2017, Monday Session 2 , 11:45 am - 12:45 pm
Topic: Data Visualization & Advanced Analytics - Subtopic: Oracle Data Visualization

Many analysts within Finance are used to manipulating spreadsheets and waiting for enhancements to Essbase cubes to produce reports that need to be shared with their management or peers. This session will demonstrate how all analysts within Finance can get immediate value from Oracle Data Visualization (DV) and decrease their reliance on overly complex spreadsheets. From its ability to connect to many different kinds of data sources, wrangle multiple data sources into a usable format, and visualize insights that would be otherwise hard to see in a table, Oracle DV provides analysts an extra layer of functionality they can easily learn and use without IT intervention.

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Using Oracle R and OBIEE to Help Doctors Predict Areas with the Most Severe Health Problems
Cuong Nguyen Tien , Mindstream Analytics
When: Jun 28, 2017, Wednesday Session 15 , 3:00 pm - 4:00 pm
Topic: Data Visualization & Advanced Analytics - Subtopic: R and Oracle Data Mining

In every field we fight scarcity and shortage. In our session we will talk about the shortage of doctors and healthcare providers. What can we do to help healthcare organizations pick efficiently the areas with specific health problems and invest their efforts there?

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Understanding How a Tweet Goes Viral Using Oracle Big Data Spatial and Graph
Mark Rittman , Rittman
When: Jun 28, 2017, Wednesday Session 14 , 1:45 pm - 2:45 pm
Topic: Data Visualization & Advanced Analytics - Subtopic: Other

A series of tweets I posted about my 11 hour struggle to make a cup of tea with my WiFi kettle ended-up going viral, got picked-up by the national and then international press, and led to thousands of retweets, comments and references in the media. In this session I'll use Oracle Big Data Graph and Spatial to understand what caused the breakout and the tweet going viral, who were the key influencers, and how the tweet spread over various countries in a matter of hours.

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Starting with Oracle Data Science in the Cloud
Tim Vlamis , Vlamis Software Solutions
Co-presenter(s): Cathye Pendley, Vlamis Software Solutions
When: Jun 27, 2017, Tuesday Session 8 , 1:45 pm - 2:45 pm
Topic: Data Visualization & Advanced Analytics - Subtopic: R and Oracle Data Mining

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. We'll share excerpts from our 3-day start up process to create a common set of skills and knowledge through hands-on learning with live software and complemented by expert guidance for placing tools and algorithms within a broader analytics context. We’ll help you stand up instances in in the cloud, do data science projects on your data, show you how to use Oracle Data Mining and Oracle R, and help you pick the right starting point for your organization.

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Data Stories: Predicting Asset Prices with Oracle Data Visualization Desktop, Data Collection, and R
Jerry Ward , Viscosity North America
Co-presenter(s): Kevin McNelis, Nutrabolt Life Sciences
When: Jun 27, 2017, Tuesday Session 10 , 4:30 pm - 5:30 pm
Topic: Data Visualization & Advanced Analytics - Subtopic: R and Oracle Data Mining

Data has a story to tell, and if told correctly, data can predict the future. In this session we aim to predict the future value of any asset through storytelling. We illustrate this with an intriguing tale using a technique that you can apply to the purchase or sale of your next car, boat, home, or airplane. We use a popular business aircraft as an example to tell this story. You will learn how you can quickly and easily: scrape the data from a market website, use Oracle Data Visualization desktop to identify the price drivers of this market, and the final result into a simple R statement that will predicts the future!

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