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Full Price Tuition Includes Post Lab Environment

Course Description


Self-Service Analytics with InfoAssist+ Advanced Techniques

Course 391  |  CEUs:  1.2  |  2 days
US $1600  Canada $1600

Class Schedule Start Time Time Zone Location
July 25th, 201809:30 AMESTOnlineClosed
August 14th, 201809:30 AMMSTDenverEnroll
September 11th, 201809:30 AMESTOnlineClosed
September 12th, 201809:30 AMMSTOnlineEnroll
October 17th, 201809:30 AMESTCincinnatiEnroll
October 24th, 201809:30 AMESTOnlineEnroll
November 27th, 201809:30 AMESTOnlineEnroll
November 28th, 201809:30 AMMSTOnlineEnroll
December 18th, 201809:30 AMESTOnlineEnroll

    Release 8.2.x

    This course goes beyond the basics to show you how to use Information Builders’ InfoAssist+ for governed self-service reporting, analysis, and data discovery. Besides point-and-click methodologies, it also covers techniques and best practices to gain more insights about your data.

    You will learn how to:

    • Use Boolean logic and filter for aggregated data values
    • Specify parameters for dynamic filters, measures, and dimensions
    • Automatically link procedures to display additional related information
    • Set up customized links to procedures that dig deeper into your data
    • Build free-form reports
    • Retrieve unmatched data
    • Cache data for further processing
    • Rank values with an “all others” category
    • Customize charts and animate them over a given time span
    • Create an active display where multiple charts are interconnected
    • Generate reporting and charting templates

    Who should take this class:

    This course is for users who are somewhat familiar with InfoAssist+ wanting to learn more about the many robust features available for analysis and data discovery purposes.

    

    Also available as eGuide

     

    Prerequisites:

    Additional Knowledge:  Prerequisites: Users who have attended either Course 390: Self-Service Analytics with InfoAssist+ (Basic Techniques) or Course 405: WebFOCUS Business User Edition Essentials