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Introduction to Cognos BI

By: Habanero Data Solutions - Business Intelligence Training

Lagos State, Nigeria

12 - 16 Dec, 2016  5 days

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NGN 400,000

IBM Cognos Business Intelligence is a web-based, integrated business intelligence suite by IBM. It provides a toolset for reporting, analysis, score carding, and monitoring of events and metrics.

Come enjoy the motivating atmosphere, learning with your peers while you discover the possibilities of the Cognos BI.

Audience: Data Analysts, Business Analysts, Developers, Data Managers, Business Intelligence Analysts, IT Administrators, Data Architects

Recommended Prerequisites: None

Course Syllabus:

This 5 day course will give delegates a thorough study on using Cognos BI.

Day 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

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

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

Focus Reports Using Filters

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

Day 2

Create Crosstab Reports

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

Present Data Graphically

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

Focus Reports Using Prompts

  • Identify various prompt types
  • Use parameters and prompts to focus data
  • Search for prompt items
  • Customize prompts to facilitate users’ choices
  • Navigate between pages
  • Display users’ prompt selections in the report

Extend Reports Using Calculations

  • Create calculations based on data in the data source
  • Add run-time information to the reports
  • Create expressions using functions

Day 3

Customize Reports with Conditional Formatting

  • Create multi-lingual reports
  • Highlight exceptional data
  • Show and hide data
  • Conditionally render objects in reports

Drill-Through From One Report to Another

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

Identify Common Data Structures

  • Define the metadata modeling role in IBM Cognos BI
  • Identify a transactional data structure
  • Distinguish between normalized and de-normalized data
  • Identify a star schema data structure
  • Identify common reporting traps (overview then detail slides)
  • Define OLAP data structures
  • Decide on the appropriate data access strategy

Gather Requirements

  • Modeling recommendations overview
  • Analyze BI and data requirements
  • Interview and view samples
  • Identify required business areas
  • Work in stages (use a phased approach to importing and modeling)

Day 4

Create a Baseline Project

  • What is Framework Manager?
  • Define an FM project and its high level objects (namespace, data sources, packages, etc.)
  • Query Subject Types (data source, model, and stored procedure)
  • Define Query items.
  • Examine the model in Cognos BI (what do authors see)

Prepare Reusable Metadata

  • Verify and Modify Query Item Properties
  • Verify Query Subject Relationships
  • Ensure efficient filters by configuring prompt properties

Model for Predictable Results: Identify Reporting Issues

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

Model for Predictable Results: Virtual Star Schemas

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

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 unnecessary codes

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

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

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

Work with Different Query Subject Types

  • Identify key differences and make recommendations for using data source, model, and stored procedure query subjects
  • Identify the effects on generated SQL when modifying query subjects, SQL settings and relationships

Set Security in Framework Manager

  • Examine the IBM Cognos security environment
  • Restrict access to packages
  • Create and apply security filters
  • Restrict access to objects in the model

Day 5

Identify IBM Cognos BI Architecture

  • The features of the IBM Cognos BI architecture
  • The three architectural tiers
  • IBM Cognos BI servlets and services
  • The default servlet container and alternatives to its use
  • An example of IBM Cognos BI request processing
  • Installation options
  • Load balancing mechanisms
  • Configuration options
  • The IBM Cognos Application Firewall

Manage Content in IBM Cognos Administration

  • Add a data source
  • Distribute data and create a distribution list
  • Plan a deployment
  • Create deployment folders
  • Export and import entries
  • Identify how to maintain the IBM Cognos BI content store
  • Configure saving content to the file system
  • Customize the appearance of IBM Cognos BI using styles
  • Use portlets to display custom Web content

Secure the IBM Cognos BI Environment

  • Identify the IBM Cognos BI security model
  • Define authentication in IBM Cognos BI
  • Define authorization in IBM Cognos BI
  • Identify security policies
  • Secure the IBM Cognos BI environment
Lekki, Lagos Dec 12 - 16 Dec, 2016
NGN 400,000.00
(Convert Currency)

07035368449

Our international certified trainers are highly experienced IBM Cognos practitioners who have real-world expertise.