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PT1079
Training Summary
This course offers an exhaustive, step-by-step guide through the powerful features of the Oracle Business Intelligence (BI) product suite. One will learn the concepts, methods and techniques for building sophisticated data analytic modules. Analytic results are then organized into interactive dashboards. A solid foundation is laid for one to progress onto the latest and most advanced data analytic capabilities.
Prerequisites
It is assumed that you have access to a valid installation of the Oracle WebLogic Server and a deployment of the Oracle BI Server. Therefore, it is a mandatory prerequisite that this environment be configured in advance. A step-by-step guide to creating such an installation along with overview information about the technical architecture which supports these platforms is provided in the textbook: ORACLE FUSION MIDDLEWARE 11G: WEBLOGIC & BI SERVER ARCHITECTURE & INSTALLATION.Advanced or power users who may not be responsible for the actual installation but who are interested in Oracle BI architecture and administration topics may consider that textbook to be an optional prerequisite.Otherwise, a general working knowledge of desktop business software and the use of web-based services via a browser are the only mandatory technical prerequisites.
Duration
2 Days/Lecture & Lab
Audience
The target audience for this course is any business professional seeking to analyze enterprise-wide or departmental information collected into an organization data warehouse. Among those for whom this course might be particularly useful would be: Data architectsData warehouse administrators and analystsBusiness analystsFinancial managersMarket research professionalsHuman resource managersProcurement and vendor management professionalsField representativesBusiness development managers
Course Topics
- Data Warehousing, Business Intelligence & Data Analytics
- Getting Started With Oracle Bi
- Using A Dashboard
- Creating An Analysis
- Selecting & Ordering Data
- Column Formatting
- Employing Table & Title Views
- Employing Graph & Gauge Views
- Employing Pivot Table Views
- Employing Secondary Views
- Deploying Analyses To Dashboards
- Building A Dashboard