The Postgraduate Diploma in Business Intelligence It is positioned as a specialised training programme in data management and analysis within the current context of the information society. It focuses on providing the fundamentals and practical application of Business Intelligence, enabling participants to understand, implement and make effective use of data analysis solutions in different organisational settings. The role of the Business Intelligence across the various departments of an organisation, emphasising the importance of strategic planning and the implementation of a plan director, a strategic plan and an annual operational plan. What’s more, you’ll have a team of professionals specialising in this field at your disposal.
Sector-specific
Big Data and Business Intelligence Development
150 h
Business Intelligence
Big Data and Business Intelligence Development
150 h
Introduction
Objectives
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Understanding the basics of Business Intelligence and its significance in the information society.
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To know the architecture and the key processes of a Business Intelligence solution.
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Identify the main BI products and their application in different business contexts.
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Mastering the techniques of mining from data and machine learning to gain valuable insights.
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Design and develop departmental databases (DataMart) for specific analyses.
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Building and managing a Data Warehouse corporate solution for data integration and utilisation.
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Use tools such as Tableau y PowerBI to visualise and communicate data effectively.
Table of Contents
TEACHING UNIT 1. BUSINESS INTELLIGENCE AND THE INFORMATION SOCIETY
Defining the concept of Business Intelligence and the information society
Architecture of a Business Intelligence solution
Business Intelligence across the company’s departments
Concepts relating to the Master Plan, Strategic Plan and Annual Operational Plan
Operational Systems and ETL Processes in a BI System
Benefits and Risk Factors of Business Intelligence
TEACHING UNIT 2. MAIN BUSINESS INTELLIGENCE PRODUCTS
Balanced Scorecards (BSC)
Decision Support Systems (DSS)
Executive Information Systems (EIS)
TEACHING UNIT 3. DATA MINING AND MACHINE LEARNING
An Introduction to Data Mining and Machine Learning
KDD Process
Data Mining Models and Techniques
Areas of application
Text Mining and Web Mining
Data mining and marketing
TEACHING UNIT 4. DATAMART. THE CONCEPT OF A DEPARTMENTAL DATABASE
An Introduction to the Concept of a Data Mart
Data extraction, transformation and loading (ETL) processes
Data Warehouse
Operational Tools
Tools for developing OLAP cubes
TEACHING UNIT 5. DATA WAREHOUSE OR CORPORATE DATA WAREHOUSE
Overview. Why DataWarehouse?
Structure and Construction
Implementation phases
Features
Cloud-based data warehouse
TEACHING UNIT 6. INTRODUCTION TO DATA VISUALISATION
What is data visualisation?
The importance of data visualisation and the tools involved
Data visualisation: Basic principles
TEACHING UNIT 7. TABLEAU
What is Tableau? Uses and applications
Tableau Server: Architecture and Components
Tableau Installation
Workspace and navigation
Data connections in Tableau
Types of filters in Tableau
Data organisation, groups, hierarchies and sets
Tables and charts in Tableau
TEACHING UNIT 8. POWERBI
Business Intelligence in Excel
Power BI tools
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