Κολέγιο CITY College
Main Campus, Thessaloniki, Greece

Information and Big Data Management

Brief Description

Everyday, we create 2.5 quintillion bytes of data– so much that 90% of the data in the world today has been created in the last two years alone. Big Data is defined as techniques and technologies, which make capturing value from data at extreme scale economical. Big Data is high-volume, high-velocity and high-variety (3Vs) information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision-making. One example of big data analytics is Machine Learning, a specific subset of AI that trains a machine how to learn, makes it possible to quickly and automatically produce models that can analyze bigger, more complex data and deliver faster, more accurate results, even on a very large scale. A wider application of big data analytics is within the area known as Industry 4.0. This involves automation and data exchange, primarily in production technologies, using cyber-physical systems, the Internet of things, cloud computing and cognitive computing. Industry 4.0 does not start and end with supply chain or production. Its reach could be much broader, affecting every industry and sector, even society itself.

 

Topics Addressed

  • Information Management: Issues and challenges.
  • Major business initiatives: Gaining competitive advantage with IT.
  • Managing data for decision support - Improving business performance.
  • Enterprise resource planning (ERP) systems.
  • Customer relationship management.
  • Infrastructure, cloud computing, metrics, and business continuity planning: Building and sustaining the dynamic enterprise.
  • Protecting people and information: Threats and safeguards.
  • Analytics, decision support, and artificial intelligence: Brainpower for your business/ Business intelligence.
  • Emerging trends and technologies: Business, people, and technology tomorrow.
  • Big Data.

 

Expected outcomes

  • Recognize the role of Information Management and Information Systems in the evolving strategic business environment.
  • Appreciate the importance of developing effective Information Management Systems to achieve performance and competitive advantage in the e-business and digital economy era.
  • Critically approach networked and global Information Systems such as ERP, CRM, and Data warehousing as tools to facilitate innovation.
  • Relate new pervasive technologies (e.g., mobile computing, communications), and other multimedia developments to facilitate strategic management decision making.
  • Identify opportunities for new organizational structures, roles and job descriptions with the use of Information and some ethical and societal impacts.

 

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