Intro-to-Info_Sceinc&Systems
Suppose you have access to quantitative data on populations by ZIP code and crime rates. You wish to determine if there is a relationship between the two variables and display the results in a graph. Which BI tool will be most useful?
Data visualization tool
A marketing manager who does not have deep knowledge of information systems or data science, will NOT be able to use BI tools
False
Creative data scientists - a key component of BI efforts in an organization - are people who are primarily focused on coming up with novel ways of analyzing data.
False
In linear regression, you are to find a line that best fits the data. Sometimes the line may be curved.
False
Suppose your university administrators wish to summarize student GPA on Major, Gender, High School, Home City and ZIP Code dimensions. This cannot be done with one data cube.
False
Users still need help from the IT function of the organization to create customer reports using modern reporting tools.
False
Which of the following will be a 'fact' measure in a data cube used at a chain retail business?
Sales revenue
You are to advise XYZ so that their BI efforts are fruitful. Which among the following is the most crucial advice of all?
There must be strong commitment from the management
Which of the following is NOT a commonly used BI tool?
automated customer service
Which of the following is NOT a characteristic of a data scientist?
business leadership skills
The goal of business intelligence is to _____.
support and improve decision making
Which of the following is a potential disadvantage with self-service BI?
Can lead to over spending on unapproved data sources and business analytics tools.
Which of the following is NOT a key capability of BI tools?
ability to provide advice to the user on which model best suits the data
Which of the following is NOT true about linear regression?
the technique implies causality between the independent and the dependent variables
_________ encourages nontechnical end users to make decisions based on facts and analyses rather than intuition.
Self-service analytics
