Company White Paper
Company Media Kit
Data Collection / Data Analysis
We have a team of highly skilled and qualified personnel who assist our clients in data collection and analysis. Ben & Ben Options Limited gather secondary data as well as performing data analysis.
Our team empowers researchers in statistical analysis, research design, survey development, sampling design and others.
We have technical personnel that have expertise in statistical software packages such as SPSS, Matlab, R Stats, Excel, STATA and others.
DATA ANALYSIS STRATEGIES
Qualitative data collection methods vary using unstructured or semi-structured techniques. Some common methods include focus groups (group discussions), individual interviews, and participation/observations.
Quantitative data collection methods include various forms of surveys – online surveys, paper surveys, mobile surveys and kiosk surveys, face-to-face interviews, telephone interviews, longitudinal studies, website interceptors, online polls, and systematic observations.
SPSS - Statistical Package for Social Sciences
SPSS is a Software which is widely used as an Statistical Analytic Tool in the Field of Social Science, Such as Market research, Surveys, Competitor Analysis, and others.
It is a comprehensive and flexible statistical analysis and data management tool. It is one of the most popular statistical package which can perform highly complex data manipulation and analysis with ease. It is designed for both interactive and non interactive users
Matlab - Matrix Laboratory
MATLAB is an interactive system whose basic data element is an array that does not require dimensioning. This allows you to solve many technical computing problems, especially those with matrix and vector formulations, in a fraction of the time it would take to write a program in a scalar noninteractive language such as C or Fortran.
Stata is a powerful statistical software that enables users to analyze, manage, and produce graphical visualizations of data. It is primarily used by researchers in the fields of economics, biomedicine, and political science to examine data patterns. It has both a command line and graphical user interface making the use of the software more intuitive
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity