B6290GWESWBTData Reporting

    IBM Cognos Analytics: Modeling with Data Modules (V11.1.x)

    0.8 Online-Distancia €0.00

    Descripción

    This training teaches data modelers how to model data using data modules in IBM Cognos Analytics. Users will learn how to create data modules from different sources, such as uploaded files. They will also identify how to customize their data modules by adding joins, calculations, and filters. In addition, they will examine how to group their data (for example, by using navigation paths), how to share their data modules with others, and how to make use of some advanced modeling techniques, such as relative date analysis.

    If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. http://www.ibm.com/training/terms

    Objetivos

    Data modeling in IBM Cognos Analytics 

    • Create and use data modules 
    • Intent-driven modeling 
    • Use the web modeling user interface: overview  

     

    Create a data module 

    • Sources for data modules 
    • Create a new data module in IBM Cognos Analytics: high level steps 
    • Add and relink sources 
    • Enable data caching  

     

    Modify and refine a data module 

    • What happens when you create a data module? 
    • How can I modify and refine a data module? 
    • Modifying the graphic representation  

     

    Create relationship joins 

    • What are relationships?
    • Create a relationship: high-level steps
    • Modify relationships 
    • Create new tables

     

    Customize data modules using filters and calculations 

    • Customizing a data module 
    • Creating filters 
    • Viewing, editing, and removing filters 
    • Creating calculations 
    • Cleaning data
    • Using custom calculations  

     

    Group data and create navigation paths 

    • Group data 
    • Group on a numeric column 
    • Group on a text column 
    • Create a navigation path  

     

    Share a data module

    • What happens when you share a data module?  

     

    Advanced data modeling techniques

    • Perform relative date analysis: overview
    • Using the sample calendars to enable relative date analysis 
    • Create a data module for relative date analysis 
    • Customizing the reference date for relative date analysis 
    • Deal with multiple grains of data 
    • Set security in data modules  

     

    Assessment

    Audiencia

    Modelers

    Prerrequisitos

      \n
    • Knowledge of your business requirements
    • \n
    • Previous experience building reports with IBM Cognos Analytics V11.1.x
    • \n

    Temario

    Data modeling in IBM Cognos Analytics 

    • Create and use data modules
    • Intent-driven modeling
    • Use the web modeling user interface: overview

     

    Create a data module 

    • Sources for data modules
    • Create a new data module in IBM Cognos Analytics: high level steps
    • Add and relink sources
    • Enable data caching

     

    Modify and refine a data module 

    • What happens when you create a data module?
    • How can I modify and refine a data module?
    • Modifying the graphic representation

     

    Create relationship joins 

    • What are relationships?
    • Create a relationship: high-level steps
    • Modify relationships
    • Create new tables

     

    Customize data modules using filters and calculations 

    • Customizing a data module
    • Creating filters
    • Viewing, editing, and removing filters
    • Creating calculations
    • Cleaning data
    • Using custom calculations

     

    Group data and create navigation paths 

    • Group data
    • Group on a numeric column
    • Group on a text column
    • Create a navigation path

     

    Share a data module

    • What happens when you share a data module?

     

    Advanced data modeling techniques

    • Perform relative date analysis: overview
    • Using the sample calendars to enable relative date analysis
    • Create a data module for relative date analysis
    • Customizing the reference date for relative date analysis
    • Deal with multiple grains of data
    • Set security in data modules

     

    Assessment

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