Data Processing

Data Data Digital data Find out more source hybridisation hybridisation In statistics, this is an approach that involves mixing two data sources which differ both in nature and in level in order to create a third, richer or more detailed one. Find out more involves combining multiple datasets to produce a more detailed, richer, and more robust measurement. When applied to Audience Measurement Audience Measurement Quantitative study of the frequency of use of media. Find out more , it provides a better response to the fragmentation of media usage and the need for more granular analysis.

Sample Sample A subset of the population studied, selected in accordance with a sampling plan, and subject to the collection of information. Find out more adjustment adjustment A statistical processing that aims to correct structural discrepancies on one or more variables between the sample and the entire population studied (based on a known structure, such as a census or a framing study). This processing involves the calculation of a so-called adjustment coefficient for each individual surveyed. The coefficient is then combined with the extrapolation to arrive at its weight and thus align the weighted sample's structure to the structure of the population. Find out more is a key step in the statistical processing processing Means any operation or set of operations which is performed on personal data or on sets of personal data, whether or not by automated means, such as collection, recording, organisation, structuring, storage, adaptation or alteration, retrieval, consultation, use, disclosure by transmission, dissemination or otherwise making available, alignment or combination, restriction, erasure or destruction Find out more of data data Digital data Find out more . By aligning the structure of a sample with that of the target target A subset of the population which we aim to reach with a show or advertising campaign. The target is defined using socio-demographic, equipment, or behavioural characteristics. Find out more population population The universe of a survey composed of basic statistical units. These units may be physical persons, households, companies, municipalities, etc. The population serves as a sampling frame for selecting a sample, and as a basis for calculation of the extrapolations from the sample. Find out more , it helps minimize bias bias The bias of a statistical result is the difference between the result obtained and the exact value that one is seeking. There are three distinct types of bias: sampling bias (for example: using an unsuitable sampling frame), observational bias (for example: poor wording of a question or answer grid), and estimate bias (for example: not fully taking into account the categories for drawing the sample). Find out more , improve the accuracy of results, and ensure the reliability of survey survey A statistical method that aims to produce information about a population by interviewing part of the population (sample). This word is generally used to mean a survey conducted on a sample that have been interviewed using a questionnaire or else systematically observed. Find out more indicators.

Data Data Digital data Find out more fusion allows for the integration of multiple sources from separate surveys to produce a more comprehensive view of a population population The universe of a survey composed of basic statistical units. These units may be physical persons, households, companies, municipalities, etc. The population serves as a sampling frame for selecting a sample, and as a basis for calculation of the extrapolations from the sample. Find out more . This method facilitates the processing processing Means any operation or set of operations which is performed on personal data or on sets of personal data, whether or not by automated means, such as collection, recording, organisation, structuring, storage, adaptation or alteration, retrieval, consultation, use, disclosure by transmission, dissemination or otherwise making available, alignment or combination, restriction, erasure or destruction Find out more and analysis of data, while reducing the burden of data collection and maintaining the quality of the results.