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Course description: 5 Ways to Apply Data Quality with Information Analyzer WBT

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Overview

  • Special note
  • Audience
  • Prerequisites
  • Skills taught
  • Course outline
  • Machine requirements
List of course details in a data table
Course code 1I020 Skill level Basic
Duration 3.0 hours Delivery type Web Based Training
Course type Public only    
Public price USD $250.00 plus tax    

Note: This is a self-paced online course in which the Guided Tour Product Simulation requires no installations: Everything is through your IE 5.0+ browser.

Please DO NOT make travel arrangements for this course. After you receive confirmation that you are registered, just follow the instructions to access the course.

This browser-based product simulation let's you 'learn-by-doing' in a case-study scenario in which you solve a 'real-life' business problem - no installations needed just a browser and a passion to learn.

By the end of this training you'll have a better understanding of this InfoSphere product's terminology, an overview of its architecture, and a better understanding of how it can be implemented.

Search for keyword FlexLearning and enroll online:

http://www.ibm.com/training/us

Call Toll Free: 1 (800) 426-8322 Option #4

e-mail: dmedplan@us.ibm.com

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Training Paths that reference this course are:

  • InfoSphere Overview - FlexLearning Library
  • Information Analysis – Business Analyst/Data Steward
  • Information Analysis – Data Quality Architect

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Special note

IBM Education Advantage Program Eligibility:

  • Yes - Education Pack - online account

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Audience

  • Data Quality Professionals
  • Data Analysts
  • Managers of Data Quality Teams
  • Business Analysts
  • Data Stewards

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Prerequisites

You should have:

  • Familiarity with or introductory knowledge of Information Analyzer
  • Completion of one or more FlexLearning titles:
    • introduction to information analyzer
    • validating data ith rules in information analyzer 8.1.1
    • how to analyze data (using InforSphere Information Analyzer
  • Exposure to building rules in Information Analyzer
  • Basic understanding of databases

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Skills taught

  • Translate business problems into technical solutions
  • Identify strategies and approaches to creating rules
  • Apply your knowledge of building rules to solving business problems
  • Apply some basic management practices for consistent deployment, delivery, and re-use of rules, establishing standards, naming conventions, status assignment, role assignment, and improving team productivity
  • In a practice environment, use the Information Analyzer UI and your critical thinking skills to solve 3 business problems presented to you in a case-study format in which you are a Data Quality Specialist at a fictitious company entitled JKLW Corporation

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Course outline

  • Case 1: Establish Data Quality
  • Case 2: Improve Data Quality
  • Case 3: Manage the Data Quality Process
    • Strategies for Problem Solving
    • Apply Management Strategies

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Machine requirements

Mandatory: Learners must have a screen resolution set to a minimum of 1024 x 768 (1200 x 1400 recommended) and an IE 5.0+ browser

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