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Project Management, IT Service Management, .NET, SAS, Rexx, ASP, JavaScript, HTML, XML, ColdFusion, Visual Basic, COBOL, Assembler, Java, J2EE, Java Wireless, WebSphere, WebLogic, UNIX, LINUX, AIX, Solaris, z/OS, OS/390, CICS, IMS, VSAM, Easytrieve, AS/400, Oracle, BusinessObjects, SQL, DB2, Crystal Reports
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Course Schedule: | Toronto, ON | 06/07-06/08 |
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Summary:
There are a range of BI measures that can be deployed to assess business impact and performance; "business metrics" through data mining and analysis. Predictive Analytics is the opposite process, using business intelligence techniques and advanced data modeling structures to assess future outcomes, customer responses and financial trends and to develop and highly structured analytical environment for the development of predictive business intelligence.
This 2 day course starts by looking at the OBIEE toolkit for predictive modeling, developing the modeling techniques needed to creative a predictive modeling environment and then works through a range of predictive models to demonstrate the power of OBIEE to support predictive intelligence.
The class includes a multiday discussion on OBIEE modelling data structures and on creating, implementing, and optimizing predictive dashboards and reports using hands-on exercises and shared classroom modelling tutorials and is ideal for students who wish to develop expert OBIEE modelling skills and to develop a rich understanding of predictive modelling..
Duration:
2 Days/Lecture & Lab
Audience:
This course is designed for OBIEE Analyst/Designers and OBIEE Developers.
Topics:
Prerequisites:
Before taking this course, students should take ProTech's OBIEE Reports and Dashboards.
Last Update: May 23, 2012