Introduction to Business Intelligence / Data Analytics

Basic knowledge of IT systems and/or Excel

• 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

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.

DLH Certificate of Participation

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