1. What is Big Data?
  2. The age of large amounts of information: history of Big Data
  3. The importance of storing and extracting information
  4. Big Data focused on business
  5. Open data
  6. Public information
  7. IoT (Internet of Things)

  1. Defining the concept of Business Intelligence and Information Society
  2. Architecture of a Business Intelligence solution
  3. Business Intelligence in the company departments
  4. Concepts of Master Plan, Strategic Plan and Annual Operational Plan
  5. Operational Systems and ETL Processes in a BI system
  6. Advantages and Risk Factors of Business Intelligence

  1. Initial diagnosis
  2. Project design
  3. Implementation process
  4. Monitoring and control of the project
  5. Responsible and available resources
  6. Scheduling
  7. Scope and economic valuation of the project

  1. Balanced Scorecards (BSC)
  2. Decision Support Systems (DSS)
  3. Executive Information Systems (EIS)

  1. Introduction to data mining and machine learning
  2. KDD process
  3. Data Mining Models and Techniques
  4. Application areas
  5. Text Mining and Web Mining
  6. Data mining and marketing

  1. Approach to the concept of DataMart
  2. OLTP databases
  3. OLAP Databases
  4. MOLAP, ROLAP & HOLAP
  5. Tools for developing OLAP cubes

  1. Overview: Why Data Warehouse?
  2. Structure and Construction
  3. Implementation phases
  4. Features
  5. Data Warehouse in the cloud

  1. Types of BI tools
  2. Commercial products for BI
  3. Open Source Products for BI
  4. Benefits of BI tools