Data analysis in a market research project is the stage when qualitative data, quantitative data, or a mixture of both, is brought together and scrutinized in order to draw conclusions based on the data,
Provide the trainees with the necessary knowledge and information on the most important macroeconomic and social data and indicators, and the skills of analyzing the economic and social data and methods of presenting it.
Explain the types, sources, and divisions of economic data at the level of the economy or sector, how to obtain it from its various sources, the methods for collecting this data, and the mechanism for tabulating it.
Apply a logical step-by-step process to produce a sound marketing plan
Devise a marketing plan that builds on marketing audit findings
Organizations and the General Statistics Department.
Department of preparing the annual report in those institutions, and department of economic and social studies.
Central banking departments, studies, and planning departments in government institutions, banking and non-banking institutions, and Arab investment promotion organizations.
General Managers
Marketing Managers
Statistical learning and decision-making.
Scope and functions
Competitive pressures changing the world
The process of determining the viability of a new service or product through research conducted directly with potential customers.
Business management.
Conduct market research and collect customer data
Descriptive, diagnostic, predictive, and prescriptive.
Technical statistics with inaccurate information.
Optimization techniques with inaccurate information
Market research techniques include surveys, interviews, focus groups, and customer observation
Primary market research that can be either in-depth or as simple as asking a question.
Simulation tools and big data and sampling.
Time series analysis.
Chromatography is a biophysical technique that can be used for qualitative or quantitative analysis to separate, identify, and purify components of mixtures.
Marketing message testing
Market segmentation
Product development
Prescriptive data analytics
Finance and econometrics with high-frequency data.
Data mining applications for the tourism industry.
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