Data Collection Techniques / Understand The Need For A Data Collection Plan Differentiate 

Objectives

  • 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?

  • 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

Seminar Outline

DAY 1

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 

DAY 2

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 

DAY 3

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 

DAY 4

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) 

DAY 5

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
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