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Introduction to Business Intelligence / Data Analytics

12 hour(s)

Objectives

  • 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)
  • 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

Content

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.

Target group

Prerequisites

Basic knowledge of IT systems and/or Excel

Assessment

Certficate, diploma

DLH Certificate of Participation

Additional information

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

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Responsibility for the content of this training description lies solely with its author, the training provider DIGITAL LEARNING HUB.

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