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