Principles of Information Systems (MindTap Course List)
13th Edition
ISBN: 9781305971776
Author: Ralph Stair, George Reynolds
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Question
Chapter 9, Problem 1PSE
Program Plan Intro
Business Intelligence:
- The term business intelligence includes the applications, infrastructure and tools that can be accessible.
- It identifies the information regarding the business improvement, and provides optimizes decision.
Business Analytics:
Business analytics is the use of wide range of data and quantitative analysis to support the fact-based decision making with organizations.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Rufla Bhd was founded in 2011, based in New York and Cambridge, Massachusetts. Rufla Bhd is a financial data platform designed for detailed fundamental research. The organization was created by former analysts and supported by a team of financial experts with serious credentials in Finance, Accounting, and Applied Mathematics. Mr Pranav and Mr Alex are the co-founders of Rufla Bhd where Mr Pranav is the CEO while Mr Alex is the CTO.
Rufla helps analysts looking to go a level deeper become more productive and accurate in their financial analysis. With Rufla, analysts can systematically access all the data both in numbers and text in financial statements, including the details hidden within the footnotes. The main clients of Rufla Bhd are the equity analyst, corporate finance companies, auditors and academicians.
In today’s world, information technology is important in our lives because it helps to deal with every day’s dynamic things. Technology offers various tools to boost…
Imagine you have to sell the concept of a data warehouse to a group of investors. Choose the one that most accurately characterizes their experience with multidimensional data analysis. How might I best describe the benefits to them?
Tshepo has put a lot of thought into the data that he wants to store in the carbon accounting
database. He has also spoken to the CEOs of a number of companies in the group to get their
inputs. Between them, they have come up with a set of business rules to be used as the basis for
the data model design.
Project ACME Green - Business Rules
1.
A single database will be created that will track the carbon footprints of all the companies
within the ACME Technologies™ group.
2.
All tables in the database must have surrogate primary keys.
3.
Each company has a name and consists of one or more departments.
4.
Each company has one employee that is the CEO of the company. That employee may only
be the CEO of one company, and not all employees are CEOs.
5.
Each department must have exactly one employee who is the Green Champion - the
person responsible for any initiatives related to the carbon footprint of the department.
That employee may only be the Green Champion for a single department, and…
Chapter 9 Solutions
Principles of Information Systems (MindTap Course List)
Ch. 9.1 - Prob. 1RQCh. 9.1 - Prob. 2RQCh. 9.1 - Prob. 1CTQCh. 9.1 - Prob. 2CTQCh. 9.2 - Prob. 1RQCh. 9.2 - Prob. 2RQCh. 9 - Prob. 1SATCh. 9 - Prob. 2SATCh. 9 - Prob. 3SATCh. 9 - Prob. 4SAT
Ch. 9 - Prob. 5SATCh. 9 - A(n) _______________________ is a measure that...Ch. 9 - Prob. 7SATCh. 9 - Prob. 8SATCh. 9 - Prob. 9SATCh. 9 - Prob. 1RQCh. 9 - Prob. 2RQCh. 9 - Prob. 3RQCh. 9 - Prob. 4RQCh. 9 - Prob. 5RQCh. 9 - Prob. 6RQCh. 9 - Prob. 7RQCh. 9 - Prob. 8RQCh. 9 - Prob. 9RQCh. 9 - Prob. 10RQCh. 9 - Prob. 11RQCh. 9 - Prob. 12RQCh. 9 - Prob. 1DQCh. 9 - Prob. 2DQCh. 9 - Prob. 3DQCh. 9 - Prob. 4DQCh. 9 - Prob. 5DQCh. 9 - Prob. 7DQCh. 9 - Prob. 8DQCh. 9 - Prob. 9DQCh. 9 - Prob. 1PSECh. 9 - Prob. 3PSECh. 9 - Prob. 1TACh. 9 - Prob. 2TACh. 9 - Prob. 3WECh. 9 - Prob. 1CECh. 9 - Prob. 2CECh. 9 - Prob. 3CECh. 9 - Prob. 1CTQ1Ch. 9 - Prob. 2CTQ1Ch. 9 - Prob. 3CTQ1Ch. 9 - Prob. 1CTQ2Ch. 9 - Prob. 2CTQ2Ch. 9 - Prob. 3CTQ2
Knowledge Booster
Similar questions
- When it comes to data management, analysis and business methods can be looked at separately. How are these two groups alike and how are they different?arrow_forwardFor the duration of this course, you will be the Chief Data Officer (CDO) of a fictional firm of your choice. You have a data enterprise that contains structured and unstructured data As the CDO, what did you decide to build, a data warehouse or a data lake? Would you build both? Why? Since you are the first CDO in company history, describe your process for developing your organization and selecting analytical tools.arrow_forwardDiscuss the concept of data warehousing, including its architecture, ETL processes, and the benefits it offers for business intelligence and reporting.arrow_forward
- What are the challenges and best practices for handling historical data in a data warehouse for trend analysis and reporting purposes?arrow_forwardConsider the data needs of the student-run newspaper in your university or high school. What are the data entities of this enterprise? List and define each entity. Then, develop an enterprise data model showing these entities and important relationships between them.arrow_forwardWhat are some of the possible advantages that an enterprise data model may provide to Mercy? Is it now more or less critical for Mercy to have a well-designed model that specifies the organization's data needs and priorities as a result of the firm's journey into big data, or does Mercy's foray into big data make it more or less crucial for the company to have such a model?arrow_forward
- This is the topic that is being discussed by the team working on the data warehousing project for your company if they are debating whether or not to construct a data warehouse prototype initially. Acquiring specialised data warehousing expertise is required in order to adequately prepare for the implementation of an enterprise-wide data warehouse. What are your thoughts on this matter? What are your thoughts on this matter?arrow_forwardYour data warehouse prototype team is discussing it. The project team is concerned about how long it will take to train for data warehousing before starting an enterprise-wide data warehouse. Is it plausible that... Ensure everyone understands you.arrow_forwardYour data warehouse team may be considering a prototype. Learn data warehousing strategies to prepare for the corporate data warehouse. Please speak. You think?arrow_forward
- Q:As a data scientist what strategic business information would you expect before embarking on a data grouping and aggregation initiative that was expected to help design a business transformation?arrow_forwardhepo has put a lot of thought into the data that he wants to store in the carbon accountingdatabase. He has also spoken to the CEOs of a number of companies in the group to get theirinputs. Between them, they have come up with a set of business rules to be used as the basis forthe data model design.Project ACME Green – Business Rules1. A single database will be created that will track the carbon footprints2 of all the companieswithin the ACME Technologies™ group.2. All tables in the database must have surrogate primary keys.3. Each company has a name and consists of one or more departments.4. Each company has one employee that is the CEO of the company. That employee may onlybe the CEO of one company, and not all employees are CEOs.5. Each department must have exactly one employee who is the Green Champion – theperson responsible for any initiatives related to the carbon footprint of the department.That employee may only be the Green Champion for a single department, and not…arrow_forwardIf your company's data warehousing project is debating whether or not to start with a prototype data warehouse, this is the topic of discussion. Expertise in data warehousing is required for enterprises looking to completely ready themselves for the construction of an enterprise-wide data warehouse. Please share your thoughts on the matter. Please share your thoughts on the matter.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Principles of Information Systems (MindTap Course...Computer ScienceISBN:9781305971776Author:Ralph Stair, George ReynoldsPublisher:Cengage Learning
Fundamentals of Information SystemsComputer ScienceISBN:9781337097536Author:Ralph Stair, George ReynoldsPublisher:Cengage Learning
Principles of Information Systems (MindTap Course...Computer ScienceISBN:9781285867168Author:Ralph Stair, George ReynoldsPublisher:Cengage Learning
Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781305971776
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Fundamentals of Information Systems
Computer Science
ISBN:9781337097536
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781285867168
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning