Business Intelligence Concepts

BUSINESS INTELLIGENCE COURSE OVERVIEW

Get Business Intelligence Course to learn more about its principles as components and functionality of information systems. It also looks at how operational data can be used to build data warehouses, which can then be used to gain new insights into organisational operations using data mining techniques and analytics. The distinctions between forms of reporting and analytics, enterprise data warehousing, data management systems, decision support systems, information management systems, big data, and data/text mining are all covered in depth in this detailed discussion of the study, architecture, and implementation of BI systems.

In conclusion, Business intelligence refers to the use of modern computing technologies such as data warehouses, analytics, and visualization to identify and analyse important business-related data in order to produce fresh, actionable organisational insights. BI systems include current (real-time), historical, and predictive views of internally organised data pertaining to all divisions within an enterprise, enhancing organisational insight and improving decision-making processes.

Simply, Business Intelligence is the process of identifying useful trends or patterns in data in order to make more effective and reliable business decisions.

Case studies are used to investigate application software, online tools, the effectiveness and limitations of BI, as well as technological and social concerns.

KEY BENEFITS:

Firstly: Describe the various positions that make up a business intelligence team.

Secondly: Discuss how BI can support a company’s needs.

Thirdly: Recognize both well-designed and poorly-designed graphics.

Fourthly: Compare various data types and structures.

Lastly: Describe the fundamentals of metrics and functions in detail.

BUSINESS INTELLIGENCE COURSE OUTLINE

1. Introduction To BI Concepts
   
2. The Two Types of Decision-Making In Our Brain
   
3. What Are The Concepts Of BI?
   
4. The data itself (raw data)
   
5. The data warehouse
   
6. Data access, analytics, and presentation
   
7. Data dashboard and reporting
   
8. How To Apply BI Concepts In Real World?

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