GMR  S.r.l.

GMR Srl is the service company that offers you diversified solutions at every stage of the research process to add value to your activities.

Specifically, GMR serves Research Institutes in order to meet the needs expressed in the fields of Market Research, Data Analysis, and Database Management, by organizing and processing data from different information sources to provide concrete and usable solutions for their end client.

Among the various activities… during the questionnaire scripting phase, we suggest improvements and checks in the flow, support users in addressing issues that arise during fieldwork, and continuously monitor quotas.

As for the subsequent data processing phase, we focus on optimizing and automating workflows and processes by promptly understanding the researcher’s needs and rapidly providing pragmatic and concrete solutions. We manage and structure ongoing data processing procedures and operate independently in setting up and drafting the analysis plan.

A key activity is supporting data interpretation, enriching presentations with advanced statistical analyses and assisting the researcher in interpreting the results obtained.

Finally, we provide results and presentation servicing, which involves preparing reports with the main final results agreed upon with the Institute. For tracking studies, we also develop automated reporting solutions.

Management team

Our Administrator is Giampiero Remotti, while our Partner is Luigi Giampaoli

Specializations

SOLUTIONS

GMR offers the following range of solutions:

• Web Scripting & fieldwork: Questionnaire scripting for CATI, CAWI, and CAPI surveys; fieldwork management
• Data Processing: data processing of ad hoc studies and continuous tracking; workflow and process management; weighting of interviewed samples; panel management.
• Support for Data Interpretation: production of standard and advanced statistical tables in customized Excel formats, SPSS, Triple-S, and CSV; structural multivariate analyses (factor analysis, path analysis, principal component analysis, PLS) for both quantitative and qualitative data; positioning maps (multidimensional scaling, correspondence analysis, preference mapping, canonical discriminant plot); classification and discrimination analyses (cluster analysis, discriminant analysis); linear, non-linear, transformed, and logistic regression models; analysis of variance and covariance with or without random components; conjoint analysis; gravitational and geomarketing models.
• Results and presentation: creation or updating of PowerPoint reports for ad hoc and/or continuous surveys; automation of tracking study reports; infographics and data visualization.

Corporate education specialized in the statistical sector