Data Processing and Analysis
DJS Research has in-house data processing and analysis capabilities. The department is managed by Alistair Smith, Operations Manager: Data Services, who joined DJS Research in 2011. Alistair is supported by a team of data services executives who are all experienced in market research data processing and analysis.
Our data processing and analysis department is equipped with the full range of data interrogation software packages – including Quantum and SPSS for instance. Data can be provided by the client if the requirement is for a standalone data processing service, or the department can form part of the wider full-service process when a client has commissioned a research project to be completed from start to finish.
We also boast a dedicated data entry team – meaning that we can deal with paper-based surveys and other formats which need to be converted to electronic files in order to undergo statistical analysis. For full-service projects, our processing and analysis packages are seamlessly linked to state of the art CAPI, CATI and online software and thus there is no need for data punching. If you have information already in an electronic format which you would like to be processed or analysed, we can accept a wide-array of file types.
Our data processing team are experienced in dealing with both numerical and verbatim style raw data – we have coded out verbatim responses for projects with many thousands of respondents, for instance. We are able to provide our clients with data tabulations (according to an agreed specification) and raw data in a range of formats (Excel, SPSS, ASCII, SSS).
All our data processing and analysis procedures are verified to ISO 9001 standards, and we feel that our quality standards go beyond this to ISO 20252. We have recently been audited by the Competition Commission, coming first in two distinct categories; 'General Market Research' and 'Fieldwork and Data Capture'.
We feel we that our analysts' experience of working within a full service agency ensures that they have an awareness of the requirements for the next stage of the research process – they understand what researchers need in order to gain insights from data and are experienced in providing that.
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