Data Collection Techniques Training Course

Course Schedule

27-31 Oct 2025

Dubai

$5,950

27-31 Oct 2025

Online

$3,950

22-26 Dec 2025

Dubai

$5,950

08-12 Jun 2026

Dubai

$5,950

26-30 Oct 2026

Dubai

$5,950

26-30 Oct 2026

Online

$3,950

21-25 Dec 2026

Dubai

$5,950

Course Overview

There is a common saying that your results can only be as good as the data you collect. Companies are relaying more and more on analytics and data driven decision management for their planning, forecasting, inventory management, supply chain management and strategy development.

The abundance of data also makes it difficult to make unbiased decisions, complexity of the mathematical models makes the people reluctant to question the decisions and therefore, no matter how the well-intended and robust models we have they are still fully dependent on the quality of data they receive. The data quality depends on the techniques we use to collect this data, and to be able to distinguish different types of data we collect.

This GLOMACS Data Collection Techniques training course will highlight the common tools and techniques used to collect the data, dispel the myths of data quality and teach the participants how and when to use different techniques, the adequate number of samples they need to collect. Also, the participants will be provided with the samples of data collection plans, as well as the insight into data collection from automated data collection systems as well as modern technologies available for data collection through the use of online monitoring systems.

This training course will highlight:

How to Create a Data Collection Plan?
Determine Adequate Sample Size
Biases and Common Errors that can be Present in the Data Collected
Big Data Concepts
The Difference between Primary and Secondary Data
The Ways to Collect the Data
Methods of Collecting the Data in Real Time

What are the Goals?

The objective of this Data Collection Techniques training course is to provide participants with the adequate knowledge of the techniques of data collection, ranging from interviews, surveys, observations, focus groups to the Big Data collection and warehousing. The delegates will get the insight into the ways of ensuring the data quality, and understanding the ways to remove or mediate the errors in data collected.

At the end of this training course, you will learn to:

Understand the need for a data collection plan
Differentiate between the primary and secondary data
Calculate the adequate number of samples
Define and apply the data quality checklists
Understand the properties of Big Data
Recognize the benefits of Real-time data collection methods
Understand the issues of privacy while conducting a data collection

Who is this Training Course for?

This GLOMACS Data Collection Techniques training course has been designed for professionals whose jobs involve the data gathering, data analysis, decision making, optimization, as well as anyone from the companies which make decisions based on scientific methodology or want to become one.

This training course is suitable to a wide range of professionals but will greatly benefit:

Operation Managers
Project Managers
Financial Managers
Data Analysis
Urban Planners
Transport and Traffic Engineers
Supply Chain Managers
Risk Managers
Plant Managers
Production Planners
And everyone else who wants to learn how to gather high quality data

How will this Training Course be Presented?

This Data Collection Techniques training course adopts a problem‐based learning approach, where the participants will be presented with different methods of data collection, the benefits and downsides of different techniques, as well as the preparation and application of the data collection plan, methods on how to conduct interviews, how to develop and conduct surveys and how to avoid biases while collecting the data. Automated methods of data collection will also be presented. Delegates will also get the insight into data collection for different industries, from Supply Chain management and use of RFID for inventory and transport planning and management to use of cell phone data for traffic and transport planning.

Course Outline

Day 1

Historical Context
Data Sources
Defining the Data Collection Plan
Determining the Sample Size Required
Project Charter
Common Sources of Data

Day 2

Most Common Data Collection Techniques
Conducting an Interview
Using Questionnaires and Surveys
Observations and Focus Groups
The Aspects of Big Data
Automated Techniques for Data Collection
Data Management Strategy

Day 3

Planning and Conducting an Interview
Planning and Creating a Survey
Determining Survey Scales
Conducting Experiments
Plan and Use Online (electronic) Surveying Tools
Sources of Secondary Data
Use and Referencing of Secondary Data

Day 4

Big Data Fundamentals
Five V’s of Big Data
Enterprise Technologies for Big Data Collection and Analysis
Big Data Storage and Processing
Big Data Analytics
Big Data Strategy
Preserving Privacy with Big Data Applications
Data Quality (completeness, uniqueness, timeliness, validity, accuracy, consistency)

Day 5

The Meaning of Real-time Data Gathering
Gathering Data from RFID
Gathering Geolocations of Mobile Phones and its Use in Urban Planning
Multimedia Data
Data Gathering for Risk and Uncertainty Management
Errors and its Mitigation in Real-time Data Gathering
New Concepts, Methodologies and Way Forward

Accreditation

GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.

All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.

Would you like to take this course as a team?

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