Digital Transformation and Ecosystems

From the study guide

Digital Transformation & Data Ecosystems Revision Sheet

1. 📌 Essentials

  • Digital ecosystem: network of interconnected IT resources promoting interoperability.
  • Network effect: increased users enhance service value.
  • Data raw facts; Information: processed, meaningful data.
  • Storage hierarchy: Database (OLTP), Data Warehouse (OLAP), Data Lake.
  • Big Data Vs: Volume, Velocity, Variety, (additional Vs: Veracity, Value).
  • Analytics:criptive, Diagnostic, Predictive, Prescriptive.
  • AI hierarchy: AI > ML > DL.
  • Generative AI: produces new content based on prompts.
  • Context data: situational background enhancing understanding.
  • Tacit knowledge: experience-based, hard to articulate.
  • Explicit knowledge: documented and shareable info.
  • Sustainability issues: energy efficiency, e-waste, ethics, inclusion.

2. 🧩 Key Structures & Components

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Practice quiz preview

1. What is a key characteristic of a digital ecosystem?

2. Which statement best describes the network effect in digital services?

3. Which of the following best explains the difference between data and information?

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Flashcard preview

Storage Hierarchy — function?

Organizes data: database, warehouse, lake

Data — raw or processed?

Raw facts, unprocessed

Digital Ecosystem — role?

Interconnected, interoperable IT resources

Digital ecosystem — definition?

Network of interconnected IT resources.

Network effect — role?

More users increase service value.

Data — raw facts?

Unprocessed; information is processed data.

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What does the Digital Transformation and Ecosystems study guide cover?

It covers the core concepts of Digital Transformation and Ecosystems, organized by topic with the key definitions, explanations and takeaways, so it's easier to learn and remember.

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The practice quiz has 9 multiple-choice questions, each with an explanation. Use it to check what you know and find your gaps.

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