Today we’ll be discussing some of the most asked business intelligence interview questions to enhance your knowledge and will assist you in flashing your incredible knowledge in your interview.
In this business intelligence interview questions and answers session, we have combined a list of most frequently asked business intelligence questions by Europe’s top interviewers. These questions are collected after consulting with top industry experts in the field of Data analytics and visualization. If you want to deeply revise with the Business Intelligence basics, you must check out these 22 crucial and most asked business intelligence interview questions listed below.
So, here are the top 22 crucial and most asked business intelligence interview questions and answers which are most likely to be asked by the interviewer in your upcoming interview session.
1. List the Components of SQL Server 2005 Business Intelligence
SQL Server Analysis Services:– Allows data discovery utilizing data mining. Utilizing business rationale it underpins information to upgrade.
SQL Server Integration Services:- Used for data transformation and creation. Utilized in data acquisition from a source framework.
SQL Server Reporting Services:- Used for Data presentation and distribution access.
2. List a Few Standard Business Intelligence Tools in the Market
Standard Business Intelligence tools in the market According to their performance:
- Microsoft integrated services
- Seagate Crystal report
- Microsoft OLAP
- Business objects
- COGNOS REPORT NET
- BUSINESS OBJECTS
- CRYSTAL REPORTS
- MS-OLAP SERVICES
3. Explain the Dashboard in Business Intelligence
A dashboard in business intelligence permits colossal information and reports to be perused in a solitary graphical interface. They help in settling on quicker choices by answering on quantifiable information seen initially. They can also be utilized to dive into the subtleties of this data to analyze the root cause of any business performance. It represents the business data and business state at an elevated level. Dashboards can likewise be utilized for cost control.
4. Explain SAS Business Intelligence
SAS business intelligence has logical capacities like insights, reporting, information mining, expectations, forecasting, and optimization. They assist in gathering data in the arrangement wanted. It helps in improving the quality of information.
5. What are the Concepts and Capabilities of Business Intelligence
Business Intelligence assists with the management of data by applying various tactics, advancements, security, and quality dangers. This likewise helps in accomplishing a superior comprehension of data. Business intelligence can be considered as aggregate data. It helps in making predictions of business operations utilizing accumulated information in a database. Business intelligence application assists with handling deals, financial, production, etc business data. It helps in better decision making and can be additionally considered as a choice support framework.
6. What is Security Domain in Business Objects
The security domain in business objects is a space containing all security data like sign-in accreditations and so on. It checks for clients and their benefits.
7. Explain the Universe in Business Objects?
A “universe” is a “Business object” phrasing. Business objects additionally happen to be the name of the organization. The universe is the interfacing layer between the customer and the data warehouse. The universe characterizes the connection between the different tables in the data warehouse. To put it plainly, the “Universe” is a semantic layer between the database and the UI (reports).
8. Explain Business Intelligence
Business Intelligence is a procedure for expanding the competitive advantage of a business by intelligent utilization of accessible information in dynamic decision making.
Five key stages of Business Intelligence:
- Situation Awareness
- Decision Support
- Data Sourcing
- Data Analysis
- Risk Assessment
9. Explain the Use of BOMain.Key in Business Intelligence
A BOMain.key file contains all significant data about the repository. It contains the location of the repository security domain.
10. How to Tune the BO Reports for Performance Improvement
We can tune the report by using index awareness in-universe.
11. What is Auditing in BO XI R2? Mention it’s Uses
An Auditor is utilized by the business objects executives to know the total data of the business intelligence system.
- Analyzes utilization and change impact
- Optimizes the Bldeployment.
- Monitors the whole Bl system initially.
12. Explain Dashboards
A management reporting tool to measure how well the association company is performing. It ordinarily utilizes “traffic-lights” or “smiley faces” to decide the status.
13. What is the Purpose of Cubes
Cubes permit to store larges sums (as a rule track history) of information and deliver generally excellent performance. Security is extremely itemized and it very well may be applied on “part level” which is an individual incentive in a section. Cubes typically track history so the client gains admittance to “point in time” information and exact information. Example: The most preferred model is the top 1 client that moves its location from London to Bristol with cubes (or more data warehouses) noteworthy information won’t move to Bristol and it will stay in London which is frequently not the situation in providing reporting data from operational frameworks.
14. Explain Batch Processing in Business Objects
Batch processing can be utilized to plan reports. Objects can additionally be utilized for batch processing. Batch processing can likewise be utilized to choose the objects to be processed.
15. Explain the Use of OLAP in Business Intelligence
Online Analytical Processing, a class of software tools that deliver an investigation of data stored in a database. OLAP tools empower clients to dissect various components of multidimensional information. For instance, it gives a time series and trend analysis views. The most crucial part of OLAP is the OLAP server, which sits between a customer and a database of the management systems (DBMS). The OLAP server sees how information is sorted out in the database and has special functions examining the information.
A decent OLAP interface composes a proficient SQL and reads precise information from DB. To structure and engineer having great information on DB understanding the report requirements.
16. What is SSIS? How is it Related With SQL Server
SSIS is a stage for Integration and Workflow applications which are known for a quick and adaptable OLTP and OLAP extensions utilized for information extraction, transformation, and stacking (ETL). A segment of SL Server, SQL Server Integration Services (SSIS) can be utilized to play out an assortment of Data migration and ETL activities. It can likewise be utilized to automate the maintenance of SQL Server databases and multidimensional data sets.
17. Define the Broadcast Agent in Business Intelligence
A broadcast agent permits the automation of emails to be conveyed. It permits reports to be sent to various business objects. It additionally allows clients to pick the report format and send it via SMS, fax, pagers, and so on. Broadcast agents permit the adaptability of the clients to get reports occasionally or not. They help to manage and schedule the documents.
18. How to Enhance the Functionality of the Reports in BO
You can organize the BO Reports by utilizing different features accessible. You can transform the table reports into 2-Dimensional or 3-Dimensional graphs. You can apply an Alert to display some information in an alternate configuration, because of some business rule. You can likewise make a few prompts, which will request the client to provide some input values before observing the reports, along these lines they will see only filtered data. There are numerous comparable energizing choices accessible to improve the reports.
19. Differentiate Between OLAP and ETL Tools
OLAP: It’s an online analytical processing tool.
ETL: It represents Extract, Transforms, and Load. This is a tool to extract information from multiple/single sources and transform the data and load it into a table, flat file or simply a target.
20. Why Can’t We Create an Aggregate on an ODS Object
Operational Data Store has exceptionally low information inertness. Data moved to ODS mostly on event-based rather than time-based ETL to Data Warehouse/Data Mart.
ODS is, all the more, closer to the OLTP framework. We don’t regularly like to store aggregated data in OLTP. So it is with ODS.
Unlike the data warehouse where data is HISTORICAL, ODS is near-real-time(NRT). So data aggregation is less important is ODS as information continues evolving.