Business Intelligence Interview Answers
1. How would you explain the concept of business intelligence? What is its importance?
Business intelligence is a concept that covers development of warehousing and business intelligence applications and databases that assist in diagnosing and repairing user issues as well as performance ones. This is an extremely important set of procedures as it engenders quality end-user products and helps company representatives in understanding core issues and resolving them.
2. What are the core BI tools that professionals work with? Which ones have you used?
SSIS, SSAS and SSRS are the most important reporting systems that BI professionals work with. On a detailed level, I have worked with data mining, master data management, data profiling and data cleansing and analysis.
3. Can you explain the purpose of Cubes.
Cubes are pivotal in storing large amounts of data (usually track records and history). They provide great security and accuracy as they can track history to any particular time in history.
4. How would you explain the purpose of reporting?
The basic idea of reporting is to create and view reports. They allow setting up of subscriptions and provide usable formats for users.
5. What is a BI dashboard?
Dashboards are real-time business intelligence interfaces. They allow a huge amount of data to be read in a single interface in order to analyse the success or failure of the business or project in question
6. What objects would you expect to find in a business objects product suite?
These can be classified in web-based products and Windows based ones. Web-based may include CMC, Infoview, Polestar and CCM. Windows based include UNIV, Webrich, BVM and Zcelsius
7. What is a Universe?
A Universe is a semantic layer between database and Business Objects reports. It is the collections of classes that are intended for a particular group of users. It is the business representation of data warehousing.
8. What is OLAP?
OLAP stands for Online Analytical Processing.
It is a tool that helps organise data in the data warehouse using multidimensional models of data aggregation and summarization. Supports the data analyst in real time and enables online analysis of data with speed and flexibility.
