Exploring Data Management Concepts in Chapter 4

1. What is a data warehouse?

A physical storage room for all company documents

A software application used for playing multimedia files

A collection of information that supports business analysis activities and decision making

A type of computer virus that targets data

A data warehouse is specifically designed to support business analysis activities by consolidating and organizing data from multiple sources for easier access and analysis.

Explanation

A data warehouse is specifically designed to support business analysis activities by consolidating and organizing data from multiple sources for easier access and analysis.

2. What are data-mining tools typically used for?

Software tools you use in a data warehouse environment

Tools for physical data storage in a warehouse setting.

Software applications for designing graphics and animations.

Analytical tools for financial forecasting.

Programming languages for web development.

Data-mining tools are specifically designed software tools used within a data warehouse environment to extract useful insights and patterns from large datasets.

Explanation

Data-mining tools are specifically designed software tools used within a data warehouse environment to extract useful insights and patterns from large datasets.

3. What is a data mart?

Subset of a data warehouse in which only a focused portion of the data warehouse information is kept

A separate type of database used for storing non-relational data.

A data processing system used to analyze large amounts of structured data.

An open-source software used for building and managing data warehouses.

A data mart is a subset of a data warehouse that focuses on a specific area of interest. It contains a subset of data from the main data warehouse, making it easier for users to access and analyze the data relevant to their needs.

Explanation

A data mart is a subset of a data warehouse that focuses on a specific area of interest. It contains a subset of data from the main data warehouse, making it easier for users to access and analyze the data relevant to their needs.

4. What is a DSS?

An automated system that makes decisions on behalf of humans

A computer program that predicts future trends based on historical data

A system that only supports decision making for structured problems

A highly flexible and interactive system that is designed to support decision making when the problem is not structured

A Decision Support System (DSS) is specifically designed to assist with unstructured decision-making processes where there is no clear path to a solution. It provides tools and features to help analyze data, generate insights, and make informed decisions.

Explanation

A Decision Support System (DSS) is specifically designed to assist with unstructured decision-making processes where there is no clear path to a solution. It provides tools and features to help analyze data, generate insights, and make informed decisions.

5. What is GIS?

A Businesses use GIS software to analyze information, generate business intelligence, and make decisions

A method for creating artwork

A type of sandwich

A form of exercise

GIS stands for Geographic Information System and is commonly used by businesses for data analysis and decision-making purposes.

Explanation

GIS stands for Geographic Information System and is commonly used by businesses for data analysis and decision-making purposes.

6. What is predictive analytics?

A type of weather forecasting based on historical trends and patterns.

Highly computational data-mining technology that uses information and business intelligence to build a predictive model for a given business application

A method of fortune-telling using crystal balls and tarot cards.

A form of advanced statistical analysis used primarily in sports betting.

Predictive analytics is a process of using data and statistical algorithms to predict future outcomes based on historical data. It is widely used in various industries for making informed decisions and improving business performance.

Explanation

Predictive analytics is a process of using data and statistical algorithms to predict future outcomes based on historical data. It is widely used in various industries for making informed decisions and improving business performance.