Question 1

BI is a comprehensive endeavor because it encompasses all business processes within an organization.

Accepted Answer

Business intelligence (BI) involves analyzing data to gain insights that can inform decision-making across an organization. To achieve this, BI typically requires input from all departments and functions within the organization, making it a comprehensive endeavor.

Question 2

In most implementations,the data warehouse and OLAP are stand-alone,independent environments.

Accepted Answer

False

Question 3

SAP is a portal vendor.

Accepted Answer

SAP is not a portal vendor, it is an enterprise software company that provides various solutions for businesses, including enterprise resource planning (ERP), customer relationship management (CRM), and supply chain management (SCM). However, SAP does offer portals as part of its product suite, such as SAP Portal and SAP Cloud Platform Portal.

Question 4

Monitoring results to evaluate outcomes of the business decisions is outside the scope of BI.

Accepted Answer

Monitoring results to evaluate outcomes is a key function of BI as it helps in measuring the effectiveness of business decisions and analyzing data to improve future decision-making.

Question 5

Creating a data warehouse is a simple exercise that takes little time,money,or effort.

Accepted Answer

Creating a data warehouse requires significant time, resources, and effort to gather and integrate data from various sources, design a schema, and implement the data warehouse infrastructure. It also involves ongoing maintenance and updates to ensure the accuracy and completeness of the data.

Question 6

Once data enter the data warehouse,they are never removed.

Accepted Answer

This is because data warehousing is designed to store historical data, and removing data could affect the ability to perform historical analysis or trend forecasting.

Question 7

The mainframe environment enables an OLAP system to be divided into several components that define its architecture.

Accepted Answer

The mainframe environment does not enable an OLAP system to be divided into several components that define its architecture. This statement is false.

Question 8

The decision support database query optimizer must be enhanced to support non-normalized structures.

Accepted Answer

The statement is true. Normalization is the process of organizing data to minimize redundancy and improve data integrity. However, there are cases where non-normalized structures may be more efficient or practical for certain types of queries. Therefore, the decision support database query optimizer must be able to support both normalized and non-normalized structures to provide the best performance for different query types.

Question 9

To tie a KPI to the strategic master plan of an organization,a KPI will be compared to a desired goal within a specific time frame.

Accepted Answer

By comparing a KPI to a desired goal within a specific time frame, it ensures that the KPI aligns with the overall strategic master plan of the organization.

Question 10

The data warehouse development life cycle differs from classical systems development.

Accepted Answer

The data warehouse development life cycle involves different phases such as data modeling, ETL processing, and data analysis which are different from the classical systems development life cycle. Data warehouse development requires a combination of technical and business knowledge to effectively design and develop the system.

Question 11

Data warehouse data are organized and summarized by table,such as CUSTOMER and ADDRESS.

Accepted Answer

Data warehouse data are organized and summarized by subject areas rather than by table, focusing on concepts like customers, sales, and products rather than how data is stored in tables.

Question 12

To provide better performance,some OLAP systems merge the data warehouse and data mart approaches by storing small extracts of the data warehouse at end-user workstations.

Accepted Answer

The answer of To provide better performance,some OLAP systems merge...

Question 13

MDM's main goal is to provide a partial and segmented definition of all data within an organization.

Accepted Answer

The answer of MDM's main goal is to provide a...

Question 14

Queries against operational data typically are broad in scope and high in complexity.

Accepted Answer

Queries against operational data are typically narrow in scope and simple, aiming at day-to-day operations rather than complex analysis.

Question 15

BI is a framework that allows a business to transform data into information,information into knowledge,and knowledge into wisdom.

Accepted Answer

Business Intelligence (BI) is a framework that transforms data into actionable insights by analyzing and visualizing data, identifying patterns, and relationships within the data, and presenting it in a user-friendly format to aid decision-making. The end goal is to turn information into knowledge and knowledge into wisdom that empowers businesses to make data-driven decisions.

Question 16

Operational data and decision support data serve the same purpose.

Accepted Answer

Operational data is used for day-to-day operations and management of an organization, while decision support data is used for strategic decision making and analysis. They serve different purposes and are not the same.

Question 17

A data store is used by the data analyst to create the queries that access the database.

Accepted Answer

A data store is a physical location where data is stored, such as a database, data warehouse, or data lake. The data analyst uses query tools or programming languages to access the data in the data store, but the data store itself does not create queries.

Question 18

Multidimensional data analysis techniques include advanced computational functions.

Accepted Answer

Multidimensional data analysis involves analyzing data with multiple dimensions or variables. Advanced computational functions are often used to analyze and interpret such complex data sets. Examples of multidimensional data analysis techniques include principal component analysis, cluster analysis, and factor analysis.

Question 19

Decision support data are a snapshot of the operational data at a given point in time.

Accepted Answer

Decision support data are based on operational data but are designed to provide a more strategic, summarized view of the data. They are often generated on a periodic basis (e.g. daily, weekly, monthly) and provide a snapshot of the data at the time of generation.

Question 20

The BI architecture is composed of data,people,processes,technology,and the management of such components.

Accepted Answer

The BI architecture includes all of these components, which are interconnected and work together to enable effective data analysis and decision making.

Quiz 13: Business Intelligence and Data Warehouses