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Oracle EDQ Training Ripu Jain, KPIT 1

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Page 1: Oracle EDQ Training

Ripu Jain, KPIT 1

Oracle EDQ Training

Page 2: Oracle EDQ Training

Ripu Jain, KPIT 2

• High quality data = good business decisions• Characteristics of high quality data:• Complete• Valid• Accurate• Consistent• Standardized• Duplicated Free

• Data Quality Methodology• Understand: data structure, content, characteristics, gaps and issues• Improve: format, standardization, cleansing, match and merge• Protect: from developing future problems, ensure good quality at source• Govern: monitor, measure, improve quality, identifying issues, categorizing

issues and resolving them

Why What How of Data Quality

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• Profile and Audit • Profiling uncovers and quantifies hidden data problems • Audit rules measure the quality of data against your business rules

• Parsing and Standardization • Transform and standardize data such as names, addresses, dates and phone numbers• Extract structured information from freeform text fields

• Match and Merge • Match parties at the individual, group or household level • Support activities like de-duplication, duplicate prevention, consolidation, customer

data integration (CDI) and master data management (MDM)

Overview Video Training here: http://www.oracle.com/webfolder/technetwork/tutorials/tutorial/edq/spt/courses/edq-12.2.1-overview-spt/edq-overview-course.html#top

Data Quality Features

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EDQ UI

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EDQ Director UI

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EDQ Director UI

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• Profilers• Used to understand data - discover the technical characteristics, help you find issues, identify data that

is not fit for its business purposes.• Do not have Output Filters

• Audit Processors• Check input data using business rules in order to assess whether or not it is fit for its business purpose.• Categorize each input record as to whether it was valid or invalid (or unknown) according to the check.

• Transformation Processors• Take one or more input attributes, transform them, and output the transformed values in new

attributes.

• Matching Processors• Allow you to match records either from the same source, or from several sources, and to review the

results of the matching process.

• Read and Write Processors• Readers are used at the beginning of a process to connect to sources of data.• Writers are connected to output filters from other processors

EDQ Processor Library