Clarifying Data Analytics Concepts for Industrial Engineering

Clarifying Data Analytics Concepts for Industrial Engineering

1. Data Sources

   • Product Design
   • Processes
   • Assembly
   • Quality Control
   • Machinery Monitoring

2. Industry 4.0

   • develop smart factories for higher competitiveness and flexibility

3. Data Analytics

   • Analyze raw data in order to discover hidden patterns and relationships among different variables
   • Extract useful information from rough data and transfer it to effective knowledge
   • Improve Products
   • Make better decisions

4. Pablo Martinez Baez Aldama

5. Data Mining

   • Extract new and useful information from previous data
   • Construct numerical algorithms to extract data
   • The objective is to predict future outcomes and help decision making

6. Machine Learning

   • Gives computers the ability to learn without being explicitly programmed
     • Gain knowledge
     • Acquire new skills
     • Reorganize existing knowledge and skills

7. Artificial Intelligence

   • data processing systems that perform functions normally associated with human intelligence
     • Reasoning
     • Learning

8. Big Data

   • Data sets with a very high volume, variety and velocity
   • Require specific technology and analytical Methods for its transformation into Values