Training Data Collection Techniques
INTRODUCTION
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 Data Collection Techniques training seminar 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 seminar 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
PROGRAM 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
PROGRAM OUTLINE
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
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
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
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)
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
Permintaan Brosur penawaran Training
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Cs1 : +62812 2554 2418
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