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Introduction to Business Intelligence / Data Analytics

2023-01-18

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2023-01-19

English
English, French

The course provides an overview of the components of Business Intelligence / Data Analytics process:

  • Data sources, Datawarehouse, Dimensions & facts, Cubes, Data Visualization
  • Interactive dashboards, static reports, mobile application
  • Data entry, integration with MS Office, alerting, application automation
  • Best practices are presented depending on the size of the company, the heterogeneity and volumetry of sources and other key factors.

48,00 

Objective

  • Understand the benefits of implementing a BI strategy
  • Be confortable with Business Intelligence (BI) concepts and architecture (Data sources, Data Integration & Data Visualization)
  • Identify the key phases of the BI life-cycle
  • Identify the key technologies and key market players
  • Future trends of Data Analytics (Artifical Intelligence, predictive analysis, big data)

Learning outcomes

  • Define how BI can help an organization better understand their performance and make better decisions
  • Identify the information involved in a BI project
  • Identify the technological architecture that makes up BI systems
  • Recognize key BI technologies
  • Learn what is Data Warehousing and how to use it
  • Discover best practices and pragmatic approaches

Prerequisites

Basic knowledge of IT systems and/or Excel

Schedule:

This training has a total of 12 hours and takes place over 2 days:

  • Day 1/2:   18.01.2023   09:00 – 16:00
  • Day 2/2:   19.01.2023   09:00 – 16:00

 

This training is also offered on

19.10.2022 + 20.10.2022

For more details click on the date.

Location

This course takes place ON-SITE

Terres Rouges building
14, porte de France
L-4360 Esch/Alzette

Difficulty:

Beginner

Language(s) course:

English

Instructor(s):

Yassine Mekdour

Language(s) spoken by instructor :

English, French

Additional information:

Understand the life-cycle of a Business Intelligence project: its challenges and its benefits from small to large companies.

Certification:

This training does not have any assessment or exams; a certificate of participation will be issued to participants. A mandatory attendance percentage of at least 80% is required.