Advanced applications of information technology for supply chains - Data management

12 important questions on Advanced applications of information technology for supply chains - Data management

Allows decision makers to make better and more consistent decisions in a timely manner

DSS

Is typically developed in a web development system to run on application services

Model management

Supports other modules and provides the knowledge and intelligence to understand a query and find an appropriated response

Knowledge-based
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Communicate with and issue commands to the DSS

User interface

  • Can be displayed in rows
  • numbers, dates, strings
  • requires less storage
  • easier to manage

Structured

  • Cannot be displayed in rows
  • Images, audio, video, emails, files
  • requires more storage
  • difficult to manage and protect

Unstructured

Challenges Big Data:

  • Storage device
  • algorithmic design
  • communication
  • large bandwidth for data transmission
  • security
  • computational power
  • shortage of human resources

Electronic storage of information

Data warehousing

Data warehousing to provide insights:

  1. Data wrangling
  2. Data analytics
  3. Data mining

Cleaning and unifying messy data for easy access

Data wrangling

Finding anomalies, patterns and correlations within large data sets to predict outcomes

Data mining

FAIR data principles:

  1. Findable
  2. Accesible
  3. Interoperable
  4. reusable

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