Presentations | 2018

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New Release of Oracle Analytics Cloud (OAC) Webinar

January 16, 2018

OAC 17.4.5 New Features

Presented by Dan Vlamis

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.

Join Dan Vlamis, Oracle ACE Director, and President of Vlamis Software Solutions, as he breaks down the exciting new features in OAC 17.4.5. Expect a fast-paced presentation with live demos of OAC, on as many of the new features as time allows. Features that debuted in Data Visualization 4 for Desktop are covered more fully in the November 9 webcast, but will be summarized. Just like our previous demonstrations of new BI releases (see for a list), we will give a live demonstration of as many of these features as we have time for, including:

Recap of DV4 features shown on November 9:
  1. New Home Page
  2. New Visualization control experience
  3. New Column controls for date/time, auto-binning
  4. New narrate experience
  5. New data flow steps, including create Essbase cube step
  6. Machine learning
New OAC 17.4.5 features:
  1. Data limit truncation warnings
  2. Narrate enhancements for groups
  3. Data flow enhancements
    1. Sequences for Data flows
    2. Data flow scheduling
    3. Renaming steps
    4. Create Essbase cube step
  4. BI Publisher consuming XSAs
  5. Essbase new features
  6. Admin / Console new features
    1. Content embedding
    2. Data replication
    3. Email deliverables
    4. Map Viewer console
    5. Import / export TCM models
  7. Public API support
We will also include an update on the new Oracle Analytics Cloud Store, where you can download many additional visualizations and see additional demonstrations of Oracle BI technology.

Dates content of webinar are subject to change.

Collaborate IOUG

April 22-26, 2018 • Las Vegas, NV • Website

Introduction to Machine Learning in Oracle Analytics Cloud

Presented by Tim Vlamis and Arthur Dayton

OAC and Data Visualization Desktop 4.0 now include a huge set of machine learning processes and algorithms. We’ll demonstrate the new interface, explain which algorithms to use in which business cases, show how to interpret results, and review how to explain it all to nosy bosses and others who always want to know “just how does this thing work”. This feature is way too powerful not to use, all you need is a place to start and a basic understanding of what’s what. We’ll show you everything from “one-click” options to how to start with simple dataflows and then build them out over time. Join Tim and Dan and you’ll be “doing machine learning” in no time!

Getting from Answers/Dashboards to Data Visualization

Presented by Dan Vlamis and Tim Vlamis

The Data Visualization interface in Oracle BI is great for adhoc exploration of data. Over the years it has been enhanced to allow for multiple “canvases”, multiple types of prompts, a story-telling mode, master-detail visualizations, and data actions that allow one visualization to drive another. The new “grammar of the graphics” interface is much more compelling to use. Oracle clearly is adding new capabilities to the Data Visualization interface and is not making many changes to the “old dashboard/answers” interface. Clearly the future is in the new DV interface. So…what are the implications for new dashboard development? Can we develop fully-functioning Enterprise dashboards with DV? What features are still missing? When should we rely on custom visualizations? When do we need to use the older-style dashboards? What’s involved in migrating older dashboards to the new DV interface? How does the movement to the cloud (and specifically Oracle Analytics Cloud) affect this topic? Come to this session to learn from authors on the book on Data Visualization as they explore these topics. Is DV the new interface for all dashboards in the Oracle BI environment?

Collaborate OAUG

April 22-26, 2018 • Las Vegas, NV • Website

Future-Proof Your Career: What every Executive Needs to Know about Adaptive Intelligence

Presented by Tim Vlamis

What can machine learning do and not do? We’ll discuss openly the natural tradeoffs that exist between different options for building advanced analytics capabilities in your business: outsource vs. inhouse, cloud vs on-premise, prepackaged analytics vs. opensource custom code. You’ll learn what language you need to know, how to explain the common concepts of adaptive intelligence, and how to tie your experience to the new techniques and tools. You likely already know enough, you just need some guidance.

Do the Mashup: How to Get BI Self-Service Data Connections Right

Presented by Dan Vlamis and Cathye Pendley

Data is king and IT and business struggle between one version of the truth and needing to add data into the system quickly for analysis purposes. While you may need validated data residing in a data warehouse, there is also a need for users to supplement this data on the fly. Successful analytics applications require the ability to mash up external data with data warehouse data. Joins, transforms, connections to cloud applications and other databases will all be covered. Come to this session to learn how to use the new data flow and mashup capabilities in OAC, DVD, and OBIEE 12c for today’s analytics.

Using Node.js to Make OBIEE the Application You Always Wanted It to Be

Presented by Arthur Dayton and Dan Vlamis

There is no other way to say it, write back in Oracle Business Intelligence is awful. Oracle Application Express integration is one way to address the need for data capture but it has its own limitations. Node.js has the largest ecosystem of open source libraries in the world and makes adding interactive forms for data capture and retrieval really easy inside of OBI. Come to this session to learn how the presenters have used Node.js to extend customer OBI environments to enable interactive data capture and custom visualizations alongside delivered content.