by Sayantani Sanyal
October 21, 2021
Modern business operations rely heavily on the large amounts of data generated by customers and users. Converting data into meaningful information is essential for understanding and analyzing the business information that will help the business conduct profitable actions. This is where business intelligence comes into effect. Business Intelligence helps users make decisions to effectively run the business. According to reports, the business intelligence market is expected to grow from US $ 23.1 billion in 2020 to US $ 33.3 billion in 2025, at a CAGR of 7.6%, proving that the The industry is growing and there are many aspiring professionals ready to choose this as a career. Hence, this article introduces the top business intelligence interview questions that are all the rage among recruiting experts in the industry.
• Explain what business intelligence means to you.
The term business intelligence refers to a collective meaning, comprising the technologies, tools, applications, data collection practices and the delivery of that data to BI users, which will ultimately help them run the business. In short, BI is used to report the specified data of any business for the growth of the organization.
• How are you going to implement a BI system in your professional approach?
BI can be implemented in three stages. First, extract the raw data from the company’s database. And then the data will be cleaned up to put into the data storage by linking the table and forming the data cubes. Finally, using BI systems, analysts can extract business insights, analyze these own data sets, and predict business decisions.
• What do you mean by data warehousing?
Data warehousing is the repository system used to analyze and report data from a variety of heterogeneous sources and forms. Data is collected from various Oracle databases, SQL servers and Postgres, or from a simple Excel sheet. The warehouse uses a central mechanism called a repository, through which analysts can retrieve all historical reports associated with the data.
• Name some BI tools used by analysts.
Some popular BI tools used by Business Intelligence analysts are Microsoft BI, Cognos, MicroStrategy, Tableau, SAS, and Hyperion.
• Define a data cube.
A data cube describes the BI data structure in memory before it is sent to a BI user interface tool for display to a user. It is a multidimensional data representation designed for better visualization, data slicing, and downstream exploration technologies. The UI doesn’t always display a literal cube, instead it presents 2D slices for better readability.
• How would you define OLTP?
OLTP or online transaction processing systems are the vast collection of small data transactions such as insert, delete and update. these are optional databases that produce rapid processing of a query. It also determines the integrity and consistency of the data. It counts the number of transactions per second which helps to measure the efficiency of an OLTP system.
• List some of the benefits of data standardization.
Data normalization eliminates data duplication. It allows finer transaction granularity. It also enables clearer referential integrity and allows for incremental schema changes.
• Mention two disadvantages of BI systems.
BI systems are mostly expensive, so using them for small and medium businesses can exceed their budget expenses. In addition, implementing BI systems for a data warehouse is complicated, so this is also a major disadvantage.
• What are the main responses of a BI developer?
BI developers are generally expected to analyze business processes and data. They standardize business data terminology and bring together reporting requirements. In addition, they create BI reports and analyze the existing reporting fleet for standardization purposes.
• What are aggregates?
Aggregates are a form of data that is found in the aggregate table. To calculate these aggregates, various aggregate functions such as min, max and average number are used.
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