Business Intelligence (Inteligencia Empresarial)

CEPADE México
Online

$ 11,160
IVA exento
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Información importante

  • Curso
  • Online
  • Duración:
    1 Cuatrimestre
  • Campus virtual
  • Envío de materiales didácticos
  • Tutorías personalizadas
  • Exámenes presenciales
Descripción

Objetivo del curso: There is different level of learning objectives involved in present course: Regarding the cognitive domain, and with emphasis in knowledge and analysis it is expected that students can. Acquire basic concepts about business intelligence, data warehouse and data mining. Formulate applications related to these technologies into their specific field of activity, being able to distinguish different domains of application. Destinatarios del curso: This course is to provide participants with the knowledge and skills on specific aspects to successfully manage technology and solutions available for playing with industrial data. Business intelligence is closely related to data warehousing. This section discusses business intelligence, as well as the relationship between business intelligence and data warehousing.

Información importante

Programa académico

This course is intended:

- To understand data more quickly to make better, faster decisions and contribute towards fulfilling business objectives.
- To know the internal and external requirements for Business Intelligence (BI)
- To use the best technical practices for supporting BI: The web, data warehousing and information integration.
- To show how to use data for multiple purposes including presenting your organisation’s performance to stakeholders.
- To gain a valuable insight into key operating information to quickly identify business problems and opportunities.
- To practice with an open-source tool in a case study application of tools and methods, looking for new knowledge.

The lessons of the course may be split into groups as follows:

Theoretical knowledge gathering

1. INTRODUCTION TO BUSSINESS INTELLIGENCE
2. DATA, INFORMATION AND KNOWLEDGE
3. DATA WAREHOUSE
4. DATA MINING
5. BI TOOLS

Practical application to case studies

6. CASE STUDY SELECTION. ETL WORK
7. CASE MODELLING AND ANALYSIS (wrap 4 weeks)
8. SOME OTHER CASE STUDIES