Cross-Tab is one of the leading providers of outsourcing solutions for market research data processing and market research data analysis. We have undertaken simple projects as well as large scale and multi-country projects in the area of market research data processing and analysis. We have expertise across industry standard packages and tools such as SPSS, Quantum, Wincross and others.

Our services for market research data processing and market research data analysis include:

Our market research data processing services have benefited many clients, across North America, Europe and APAC, not only in reducing costs but also in reducing turnaround time and standardizing processes across organization.

Data Preparation: Data entry, cleaning, coding, aggregation, merging and summarization

Clients can send across the data file in ASCII /DBF/ XLS /SPSS (.SAV) or any other format with the questionnaire and tab plan. Our team reports data inconsistencies, if any and then cleans the data to make it consistent across data sources by merging data from different formats.

Open Ended Coding: Our coding team can carry out any kind of coding. On receipt of a suitable number of questionnaires, full listings of open-ended questions are made by Cross-Tab’s coding department. Coding is carried out by a team of coders, usually on a 'question' basis, whereby one coder will code one question in order to ensure consistency of interpretation. Coding is independently checked to ensure accuracy.

Translation: We can provide translation services for all major Asian and European languages under the supervision of localization specialists.

Data Tabulation: Data tabulation can be done using SPSS, Quantum, Wincross, etc. Standard outputs include cross tabulation, pivot tables, and row and column percent. From the simplest projects to large scale and multi-country projects, our team of analysts can handle it all. We can also handle hierarchical data and complex weighting. We are able to inter-operate between SPSS, Quantum, Wincross, Excel, SAS at the data and tab level.

Our market research data analysis services involve sophisticated analytics procedures and a wide variety of statistical methods. Some of the many techniques we use, include:

Multivariate Analysis: to identify the relative importance and underlying relationships among sets of variables; methods included OLS regression, multiple regression, etc.

Statistical Tests: Chi-Square Testing, Analysis of Variance, t-test, z-test, etc.

Factor Analysis & Market Segmentation: to identify and profile customer segments in order to devise marketing strategies that target each segment individually to promote or sell a product

Conjoint Analysis: methods used to estimate trade-off decisions made by the customer and relative importance of attributes in arriving at a buying decision

Discrete Choice Modeling: methods to predict a decision made by an individual as a function of any number of variables

Multiple and Logistic Regression: methods used to describe the relationships between different variables

Discriminate Function Analysis: methods to determine the variables that discriminate between two or more naturally occurring groups

Cluster Analysis: methods used to reduce a large data set into meaningful subgroups

Multidimensional Scaling: methods to transform consumer judgments of similarity into distances represented in multidimensional scale

Econometric & Statistical Modeling: employing various methods of statistical inference to produce quantitative economic statements that can explain observed variable behavior or forecast unseen behavior.

We have undertaken market research data analysis for concept testing, advertising -related studies, pricing studies, continuous tracks, customer satisfaction studies, churn analysis and for several other study types.