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Data Quality: Advanced Techniques

  • Instructor Led
  • Data Quality
  • 3 Days

This course is applicable for all version 10 releases. Learn to leverage advanced techniques when utilizing Developer to profile, cleanse, standardize, de-duplicate and consolidate data in an enterprise.  Focused on creating and applying custom built Classifier and Probabilistic Models, utilizing advanced Parsing and Matching methods, refining Human Tasks and Workflows, automatically Associating and Consolidating matched records, applying Parameters in mappings and more. 

Course Overview & Agenda

Objectives

After successfully completing this course, students should be able to:

Perform Join Profiling.

Create and apply Classification Models.

Parse data using advanced techniques.

Create and apply Probabilistic Models.

Apply sophisticated Grouping and Matching techniques.

Automatically Associate and Consolidate matched records.

Refine Exception and Duplicate Record Workflows used to populate Analyst inboxes.

Design, Implement and Test processes to manage updated exception/duplicate records.

Appropriate DQ Parameters.

Examine Performance considerations.

Review CRM and Dashboard & Reporting Templates.

Optionally/Time allowing: Leverage Web Services to apply DQ mappings in Excel;

Perform Identity Matching by using the Universal ID store to match against master data.

Target Audience

Administrator  |  Architect  |  Business Analyst  |  Data Analyst  |  Data Scientist  |  Data Steward  |  Developer  |  End User

Available Languages

English

Prerequisites

Data Quality: Data Quality Management for Developers ( Instructor Led OR onDemand )

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