Euro-training Center
 Market Research In Data Analysis Techniques R1715 QR Code
Share   Like Download Brochure (PDF) Dates and locations

Market Research In Data Analysis Techniques

Overview:

Introduction

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, 

Course Objectives

At the end of this course the participants will be able to:

  • 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

Targeted Audience

  • 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

Course Outline

Unit 1: 

  • Technologies for big data analysis

  • 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.

Unit 2: 

  • Slandered economy and big data.

  • Business management.

  • Conduct market research and collect customer data

  • Descriptive, diagnostic, predictive, and prescriptive.

Unit 3:  

  • New trends in data mining.

  • 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.

Unit 4: 

  • Statistical learning and decision-making.

  • 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

Unit 5:

  • Predictive data analytics. Predictive analytics may be the most commonly used category of data analytics

  • Prescriptive data analytics

  • Finance and econometrics with high-frequency data.

  • Data mining applications for the tourism industry.

Select training course venue