Mastering Data Collection Data Gathering from pdf files; data mining, data analytics and data analysis
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.
27 - 31 January 2025
Sandton
Johannesburg South Africa
Cost per Delegate
R17,999.00
Course Overview:
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.
The training 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
Course Objectives
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 should Attend?
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
Course Outlines:
DAY1
The Importance of Data Collection
• Historical Context
• Data Sources
• Defining the Data Collection Plan
• Determining the Sample Size Required
• Project Charter
• Common Sources of Data
DAY2
Collecting Data
• 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
DAY3
Examples of Use of Data Collection Techniques
• 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
DAY4
Big Data Concepts
• 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)
DAY5
Real-time Data Gathering and Its Application
• 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
End of the Workshop
For Training arrangements call us on the detail below
TANZANIA: +255 749 50 26 78
SOUTH AFRICA: +27 694 31 79 73
KENYA: +255 749 50 26 78
DUBAI: +27 694 31 79 73
