One of the great new features of the Data Visualization option with Oracle Analytics is the ability to create your own custom visualizations with an SDK provided by Oracle. In the past, with the Answers interface, we had to inject custom code into OBI using narrative views. Getting custom visualizations to interact with the delivered ones, or print, was nearly impossible.
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.
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.
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.
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.
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”.
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. Don’t have the slightest clue on how to get started with and use property graphs? Good news!
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. Don’t have the slightest clue on how to get started with and use property graphs? Good news!
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. Don’t have the slightest clue on how to get started with and use property graphs? Good news!
Tektronix is a world-leading manufacturer of test and measurement equipment. Like many global organizations with complex business operations, the process of bringing together data resources for analysis is a challenging but critically important business function. Several business units at Tektronix used independent BI platforms, leading to integration challenges.
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. Don’t have the slightest clue on how to get started with and use property graphs? Good news! If you can form a complete sentence (coffee allowed) then you can do this!
The process of scientifically uncovering insights in complex data sets is one of the most exciting areas of Visual Analytics. You’ll see how to break down the steps in data exploration so that you discover key findings quickly, efficiently, and comprehensively. Showing and telling others your data stories use many of the same visualization tools and concepts, but the challenge is making this effective for different people with different backgrounds, skills, and abilities.
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