Business Intelligence Practice Exam
About Business Intelligence
The
term Business Intelligence (BI) refers to technologies, applications
and practices for the collection, integration, analysis, and
presentation of business information. The purpose of Business
Intelligence is to support better business decision making. Essentially,
Business Intelligence systems are data-driven Decision Support Systems
(DSS). Business Intelligence is sometimes used interchangeably with
briefing books, report and query tools and executive information
systems.
Why is Business Intelligence important?
Business
intelligence tools are helpful for companies to stay competitive and
maximize revenue streams. Organizations at every size and stage use BI
software to analyze, manage, and visualize business data.
Benefits business intelligence software can add to any business are
• Fast and accurate reporting
• Valuable business insights
• Competitive analysis
• Better data quality
• Increased customer satisfaction
• Identifying market trends
• Increased operational efficiency
• Improved, accurate decisions
• Increased revenue
• Lower margins
Who should take the Business Intelligence Exam?
• Anyone interested in Business Intelligence (BI) or related fields.
• Anyone interested in Management or related fields.
• Beginners to programming and data science
• SQL Programmers who want to develop business reasoning and apply their knowledge to the solution of various business tasks
• People interested in a Business Intelligence Analyst career
• Entrepreneurs/CEO/Founders looking to master the Data Analysis process.
• Students learning in the field of Data.
• Data scientists.
• Enthusiastic quality professionals who are NEW to the Business Analysis and want to take their skills to the next level.
• Business Analyst who wants to advance their skill set.
Business Intelligence Certification Course Outline
1. Introduction
2. Integration
3. Data Management
4. OLAP (Online analytical processing)
5. Dashboards
6. Data Warehousing
7. Data Analytics
8. Value Proposition
9. Requirement Assessment
10. Design
11. Implementation
12. Post-Implementation
13. Performance Measurement
14. Advanced BI