“Business Intelligence is essentially timely, accurate, high-value, and actionable business insights, and the work processes and technologies used to obtain them”
Business Intelligence backed by the force of Data Analytics has emerged as a promising trend for the future. Consequently, Business Intelligence Analysts and experts have emerged as IT professionals whose demand is increasing by leaps and bounds.
So, if you too happen to be someone who is looking to make through a Business Intelligence Interview; this list of top 30 Business Intelligence Interview Questions, will certainly be of huge help.
If you wish to read more on the job prospects within the field of Business Intelligence, refer to our blog on, “Business Intelligence Jobs: A Career to Look Forward to”
👉In this blog, we shall look at some of the most important Business Intelligence Analyst Interview Questions. Additionally, we shall also look at the Amazon Business Intelligence Engineer Interview Questions as well as SQL Interview Questions for Business Intelligence Analyst.
Business Intelligence Interview Questions: Basic Level
1. What is Business Intelligence?
Business Intelligence can be understood as a combination of Data Analytics and the processes of data collection, data storage and data management. The aim of Business Intelligence is to make business processes data-driven, through evaluating and converting raw data and information into actionable and meaningful insights.
These insights have a positive impact on the different kinds of business decisions of the organization. In simplest terms, a Business Intelligence definition would refer to an umbrella which covers data tools, data visualization, business analysis, data mining, infrastructure, data analytics and so on, in order to provide easy and understandable summaries which could help organizations to take decisions which are data-driven.
2. Name some of the prominent Business Intelligence tools.
Some of the popular BI tools include:
- Power BI
- Zoho Analytics
- Dundas BI
If you wish to read more about these Business Intelligence tools, refer to our blog on “Top 10 Business Intelligence Tools”
3. What is a universe in Business Analytics?
Universe can be understood as the semantic layer between the user interface and the database. It is actually the interfacing layer between the client and the data warehouse. It helps in defining the relationship between different tables in a data warehouse.
4. What are the steps in a Business Intelligence process?
This is one of the classical Business Analyst Interview Questions
The first step in the Business process model involves the collection of raw data from all possible data sources. The data is then stored in a data warehouse or in smaller data marts. Additionally, data lakes can also be used as storage facilities for sensor data, log files and other kinds of semi structured or unstructured data.
The next step involves cleaning, integration and consolidation of data by data quality management and data integration tools. Data has to be converted into a state where they become suitable for analysis. This is the data preparation stage.
After that, the Business Intelligence analysts and other professionals perform analysis of data by asking queries, requesting ad-hoc reports and so on. At the end, the results obtained from the query are transformed into reports, dashboards, data visualizations and online portals.
This valuable insight which is now available in an easy and understandable form is then used by project managers, business executives and so on, for strategic planning and decision making.
5. What is Data Warehousing?
Data Warehousing can be understood as a repository system which is used to analyze and report data from different heterogeneous sources. These data are essentially available from the SQL Server, Excel Sheet, Oracle Database or Postgres. Data Warehouse makes use of the repository mechanism, through which a business analyst is able to fetch all historical reports related to that data.
6. What are some of the features of a Data Warehouse?
- It is a separate database with the responsibility for storage of information records and is kept segregated from an operational database
- Analyzed and processed data obtained from a data warehouse, helps decision makers take tactical and strategic decisions
- Analyzing data present in the warehouse helps business analysts in viewing existing business trends
- It is also responsible for consolidating historical data analysis
7. What are aggregates?
Aggregates can be understood as a form of data which is found in the aggregate table. In order to calculate these aggregates, different aggregate functions are used. These include max, min, count average and so on.
8. What are some of the benefits of Business Intelligence?
Some of the advantages of Business Intelligence include:
- Accelerating the process of Decision Making
- Improving the Decision Making Process
- Optimization of the Internal Business Process through Business Process Modeling
- Operational Efficiency
- Provides for Competitive Edge
9. What do you mean by the following terms: OLAP, DOLAP, MOLAP, HOLAP, ROLAP?
OLAP: It stands for On-Line Analytical Processing. It refers to a category of technologies and applications which provide for the collection, storage, manipulation and reproduction of multidimensional data with the objective of analyzing it. It helps in executing complex analytical calculations, along with carrying our sophisticated data modelling.
DOLAP: It stands for Desktop OLAP. These are small OLAP products for local multidimensional analysis. Data is essentially stored in cubes on a desktop and is designed for single, low-end departmental user. It’s akin to having one’s own spreadsheet.
MOLAP: It stands for Multidimensional OLAP. It operates as a shared environment which is targeted at groups of users. It provides for complex analysis of data wherein data is stored in a server-based format.
ROLAP: It stands for Relational OLAP. It facilitates multidimensional analysis of data stored in relational databases.
HOLAP: It stands for Hybridization of OLAP. It might include any of the above.
10. What is OLTP?
This is another very common BI Interview Question.
It stands for Online Transaction Processing. These can be seen as an expansive collection of small data transactions like delete, update, and insert. They function as operational databases and help in producing quick processing of a query. It is also the determinant of the consistency and integrity of data. The efficiency of an OLTP system is measured by the number of transactions per second.