In a world where digitalisation is unstoppable, understanding the digital transformation and data management becomes essential. Our course covers the the Big Data phenomenon, current trends in technology and how these are redefining traditional approaches to business. You will learn to distinguish between transactional and informational systems, to draw up master, strategic and operational plans, and to use key tools such as SWOT and CANVAS, to devise strategies data-driven. This comprehensive knowledge will equip you to manage and lead projects in the information age. Join us on our journey through this digital revolution and master the key aspects of data governance. This course is your guide to understanding the foundations of an economy increasingly driven by data intelligence and analysis.
New paradigms. Digital transformation. Factors to bear in mind in data projects
Big Data
40 hours
Introduction
Objectives
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Understanding the data transformation in information and knowledge.
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Identify the key differences between transactional and informational systems.
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Explore traditional strategic tools such as SWOT and newer ones such as CANVAS.
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Analysing the key dimensions to develop a data-driven strategy.
Table of Contents
TEACHING UNIT 1. BIG DATA
1. Introduction to Big Data
2. Data as an asset
3. Technological enablers
4. Key concepts in Big Data
5. Big data vs. Business Intelligence
TEACHING UNIT 2. THE STATE OF THE ART IN TECHNOLOGY
1. Components of a Big Data architecture
2. What are IaaS, PaaS and SaaS?
3. Open-source technologies
4. Public cloud and private cloud
5. Visualisation tools
TEACHING UNIT 3. DIGITAL TRANSFORMATION
1. What digital transformation is – and what it isn’t
2. The customer at the centre
3. The role of technology as an enabler
4. Use case: User experience
5. Use case: People analytics
TEACHING UNIT 4. DATA GOVERNANCE
1. Data Governance and Data Quality
2. Data strategy
3. The GDPR and privacy
4. How to become a data-driven organisation
5. Planning a data project