Course details

Accelerated offering provides broad understanding of a Biz Intelligence platform implementation. Perform hands-on demos & workshops cover 4 essential topic areas: Modeling, Report Authoring, Workspace Advanced, & Administration of a BI platform.

Course Outline

1 - Overview of IBM Cognos BI

  • Discuss IBM Cognos BI and Performance Management
  • Describe IBM Cognos BI components
  • Describe IBM Cognos BI architecture at a high level
  • Define IBM Cognos BI groups and roles
  • Explain how to extend IBM Cognos BI

2 - Identify Common Data Structures

  • Define the metadata modeling role in IBM Cognos BI
  • Examine the characteristics of operational databases and databases designed for reporting
  • Examine dimensional data sources (OLAP, ROLAP, DMR)

3 - Gather Requirements

  • Examine key modeling recommendations
  • Define reporting requirements
  • Explore data sources t identify data access strategies

4 - Create a Baseline Project

  • Examine the IBM Cognos BI workflow processes
  • Define a project and its structure
  • Describe the Framework Manager environment
  • Create a baseline project
  • Enhance the model with additional metadata

5 - Prepare Reusable Metadata

  • Identify facts and dimensions
  • Examine relationships, and data traps
  • Verify relationships and query item properties
  • Ensure efficient filters by configuring prompt properties

6 - Model for Predictable Results: Identify Reporting Issues

  • Describe multi-fact queries and when full outer joins are appropriate
  • Describe how IBM Cognos BI uses cardinality
  • Identify reporting traps
  • use tools to analyze the model

7 - Model for Predictable Results: Virtual Star Schemas

  • Identify the advantages of modeling metadata as a star schema
  • Model in layers
  • Create aliases to avoid ambiguous joins
  • Merge query subjects to create as view behavior

8 - Model for Predictable Results: Consolidate Metadata

  • Create virtual facts to simplify writing queries
  • Create virtual dimensions to resolve fact-to-fact joins
  • Create a consolidated modeling layer for presentation purposes
  • Consolidate snowflake dimensions with model query subjects
  • Simplify facts by hiding unn

9 - Calculations and Filters

  • Use calculations to create commonly-needed query items for authors
  • Use static filters to reduce the data returned
  • Use macros and parameters in calculations and filters to dynamically control the data returned

10 - Implement a Time Dimension

  • Make time-based queries simple to author by implementing a time dimension
  • Resolve confusion caused by multiple relationships between a time dimension and another table

11 - Specify Determinants

  • Use determinants to specify multiple levels of granularity and prevent double-counting

12 - Create the Presentation View

  • Identify the dimensions associated with a fact table
  • Identify conformed vs. non-conformed dimensions
  • Create star schema groupings to provide authors with logical groupings of query subjects
  • Rapidly create a model using the Model Design Accelerator

13 - Create Analysis Objects

  • Define dimensionally modeled relational (DMR) metadata
  • Apply dimensional information to relational metadata to enable OLAP-style queries
  • Define members and member unique names

14 - Introduction to the Reporting Application

  • Examine Report Studio and its interface
  • Explore different report types
  • Create a simple, sorted, and formatted report
  • Explore how data items are added to queries

15 - Create List Reports

  • Format, group, and sort list reports
  • Describe options for aggregating data
  • Create a multi-fact query
  • Create a report with repeated data

16 - Focus Reports Using Filters

  • Create filters t narrow the focus of reports
  • Examine detail and summary filters
  • Determine when t apply filters on aggregate data

17 - Create Crosstab Reports

  • Format and sort crosstab reports
  • Convert a list to a crosstab
  • Create crosstabs using unrelated data items
  • Create complex crosstabs using drag and drop functionality

18 - Present Data Graphically

  • Create charts containing peer and nested items
  • Present data using different chart type options
  • Add context to charts
  • Create and reuse custom chart palettes
  • Present key data in a single dashboard report

19 - Focus Reports Using Prompts

  • Identify various prompt types
  • Use parameters and prompts to focus data
  • Search for prompt items
  • Navigate between pages

20 - Extend Reports Using Calculations

  • Create calculations based on data in the data source
  • Add run-time information to the reports
  • Create expressions using functions
  • Highlight exceptional data
  • Show and hide data
  • Conditionally render objects in reports
  • Conditionally format one crosstab measure

21 - Customize Reports with Conditional Formatting

  • Create multi-lingual reports
  • Highlight Exceptional Data
  • Create a Conditionally Rendered Column
  • Conditionally Format One Crosstab Measure Based on Another

22 - Drill-Through From One Report t Another

  • Let users navigate from a specific report t a target report
  • Pass parameter values t filter the data in drill-through targets
  • Navigate through multiple reports

23 - Create Reports using Relational Data

  • Define Relational Data
  • Define report layouts
  • Build a report
  • Explain how to add data query items
  • Use calculations

24 - Introduction t IBM Cognos BI Administration

  • Describe the role of the Administrator in relation to the IBM Cognos BI administration workflow process.
  • Describe the role of IBM Cognos Administration and IBM Cognos Configuration.

25 - Identify IBM Cognos BI Architecture

  • Identify and explain:
  • The features of the IBM Cognos BI architecture
  • The three architectural tiers
  • IBM Cognos BI servlets and services
  • The default servlet container and alternatives t its use
  • An example of IBM Cognos BI request processing
  • Installation opt

26 - Identify and explain:

  • Identify the IBM Cognos BI security model
  • Define authentication and authorization in IBM Cognos BI.
  • Identify security policies
  • Secure the IBM Cognos BI environment

27 - Secure the IBM Cognos BI Environment

  • Manage current, upcoming and past activities
  • Manage schedules

28 - Manage Run Activities

  • View Data Sources Associated with a Package and Add a Data Source
  • Add Multiple Connections for a Single Data Source
  • Create a Distribution List
  • Create an Export and Import Archive
  • Save Content t the File System

Target Audience: Core project team members wishing to acquire a broad understanding of a Business Intelligence platform implementation

Updated on 08 November, 2015

About New Horizons Ireland

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