Analytics have become a key component of business strategy. Determining how your organization will assess evidence, measure performance, and achieve coherent decisions all rely on the analytic tools and systems you employ. We can walk through the options for developing your organization’s analytics capabilities along with their advantages and tradeoffs with a special focus on Oracle's hardware and software offerings and roadmap. You’ll see where and where not to invest and how to measure returns from analytics.
Starting Smart with Oracle Advanced Analytics
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 mining 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.
Designing an Analytics Strategy for the 21st Century
Analytics have become a key component of business strategy. Determining how your organization will assess evidence, measure performance, and achieve coherent decisions all rely on the analytic tools and systems you employ. We’ll walk through the options for developing your organization’s analytics capabilities along with their advantages and tradeoffs with a special focus on Oracle's hardware and software offerings and roadmap. You’ll see where and where not to invest and how to measure returns from analytics.
Advanced Analytics using Oracle DB EE (Webinar)
Presented by Tim Vlamis
If you've been wanting to expose your colleagues to the power of using the Oracle Database as a platform for predictive analytics, this special session will be perfect for you. We'll use a combination of live demos and business use cases to explain that predictive analytics doesn't require an advanced degree in mathematics, just a database and a few good business questions. We'll share how to leverage the work you've done in building a data warehouse and collecting business data sets into solid evidence for business decisions. Predictive analytics is all about looking forward into the future and leveraging data to assess and evaluate alternative courses of action. Too often, executives and managers rely on gut instinct without using the data they already have to make better decisions.
Here's the outline for the session:
- Key issues in leveraging the power of analytics
- Using Oracle database as an analytics platform
- Oracle Advanced Analytics overview
- Oracle Data Mining
- Oracle R Enterprise
- Common use cases for predictive analytics
- Where to start when developing your analytics capabilities
Clustering Data with Oracle Data Mining: The Easiest Place to Start in Predictive Analytics
Data clustering models are among the most common and most useful predictive analytic techniques and are fundamental to understanding complex and highly dimensioned datasets. They're perfect for segmenting customers and markets, identifying hidden patterns when businesses have hundreds of locations, and organizing products in new ways. Learn the differences between Oracle Data Mining three clustering algorithms, K-Means, O-Cluster, and Expectation Maximization and when to use each. You'll hear how to interpret the hierarchical structure of Oracle's clustering algorithms and explain the results of clustering models to executives and other lay audiences. Oracle ACE Tim Vlamis is a named contributor to Oracle University's courses on Oracle Data Mining and often serves as an expert instructor. This session will be a combination of lecture and live demo of Oracle Data Mining using SQL Developer's Data Miner extension. Because clustering algorithms are an unsupervised data mining technique, their analytic workflows are some of the simplest to build and the results are some of the easiest to explain. Many analysts want to use predictive analytics but are unsure where or how to start. This session offers an easy first step that has great application for nearly every business. If you've always wanted to do predictive analytics but weren't sure where to start, come learn how to leverage Oracle's Advanced Analytics option and get going.