Quality Control Conducted by Nielsen
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Transcript of Quality Control Conducted by Nielsen
VALIDATION & QC GUIDELINES UKRAINE, 17 OCTOBER 2013
FAITMA ABREU
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• Why Validation • Nielsen’s Recommendations • Quality Control Responsibilities • Quality Control Automation • Key Success Factors
TODAY’S TOPICS
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• Eliminate errors or inconsistencies from the data collected . • Automatically and unbiased process without human
intervention.
Polling Database Audience
Database
Polling Database
Rules & Parameters
Discarded
Data
Quality Control
Clients
Audience Database
WHY VALIDATION
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WHY VALIDATION
Low Cooperation
• Uncovered viewing
Technical problems:
• Incomplete information
• Unidentified Station
• Lazy viewing
Uncovered Viewing Attribution:
• Delays between:
• TV On and login info
• channel changes and login
Other:
• Home rejection 24hrs viewing
• Stm Rejection Constant Viewing from start time 4 hrs
• Families withheld & on trail
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NIELSEN’S RECOMMENDATIONS
Discard households with… • missing demographic • viewing produced by unknown TV set • a percentage of uncovered viewing greater than 50% • a lazy viewing greater than 2 hours • more than 30% of unidentified stations.
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QUALITY CONTROL RESPONSIBILITIES
The Quality Control Department guarantees the data provided by Nielsen TAM is representative of the population measured and is free from any distortion or bias.
High in-tab levels & high data quality
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QUALITY CONTROL SYSTEM
• Single report addressing ALL issues • Households are allocated a performance based score • Score is based on the following factor groups:
• Deviation of the HH weight
• HH viewing level
• Intab history
• Exception values
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HH PROCESS FLOW Recruitment
Installation
Line Test Process
Running In
Data Production
Validation Audience DB
Successful Validation
Pollux IBIS
UNITAM QC Tools
Actions
Contact Panel Member Settings Update
Remote Maintenance Field Visit
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THE TOOL OF PARAMETER SETTINGS HH
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SOFTWARE INSTALLATION - ON-SITE / REMOTE