Management Information Systems: Managing The Digital Firm (16th Edition)
16th Edition
ISBN: 9780135191798
Author: Kenneth C. Laudon, Jane P. Laudon
Publisher: PEARSON
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Chapter 12, Problem 2RQ
Explanation of Solution
Business intelligence:
- Business intelligence refers to the technologies, applications, infrastructures and tools that perform a main role in the planning process of the corporation.
- The set-up for analyzing data, reporting, warehousing and combining data from the business atmosphere.
- It gathers, stores, clean and makes appropriate data offered to managers.
- It consists of databases, data warehouses, and data markets...
Explanation of Solution
Elements of a Business intelligence environment:
- Data from the business environment:
- Different sources of organized and unorganized data, Internet and mobile devices are combined and used by the decision makers.
- Business intelligence infrastructure:
- Strong
database systems capture the related data kept in transactional databases or combined into an enterprise-data warehouse or unified data marts.
- Strong
- Business analytics tools:
- Software tools used to examine data and send respond, reports to manager queries and use key pointers of presentation to follow a business growth...
Explanation of Solution
Analytic functionalities provided by Business Intelligence systems:
- Production reports
- The predefined reports are constructed on business agree requirements.
- Parameterized reports
- An Operator enter numerous constraints in a pivot table to screen data and separate effects of the constraints.
- Dashboards and scorecards
- Visual tools are used to present records as created by users...
Explanation of Solution
Predictive analytics and location analytics with examples:
Predictive analytics is defined as an extraction of data from existing data sets which is used for analysis of statistics, mining and for upcoming expectations to forecast future developments and performance designs. It comprises the skill to develop the future actions and performance for past events.
Two examples of Predictive analytics:
- Predict age, gender, location and driving records in insurance policy companies to begin appropriate cost of plans.
- Predict the customer response to the product depends on offers in the product by the retailers...
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(Short-answer) b. Continue from the previous question. Suppose part of the data you extracted from the data warehouse is the following. Identify the missing values you think exist in the dataset. Use Column letter and Row number to refer to each missing value in the dataset. Please write down how you want to address each particular missing value (you can group them if they receive same treatment). For imputation, you do not need to calculate the exact imputed values but just describe what kind of value you want to use to impute.
Please original work
Locate data warehousing solutions offered by IBM, Oracle, Microsoft, and Amazon
Compare and contrast the capabilities of each solution and provide several names of some organizations that utilize each of these solutions.
Please cite in text references and add weblinks
Need Help: Which of the following statements about confusion matrix is wrong
A) Confusion matrix is a performance measure for probability prediction techniques
B) Confusion matrix is derived based on classification rules with cut-off value 0.5
C) Confusion matrix is derived based on training partition to measure a model’s predictive performance
D) None of the above
Chapter 12 Solutions
Management Information Systems: Managing The Digital Firm (16th Edition)
Ch. 12.3 - Prob. 1.1CQCh. 12.3 - Prob. 1.2CQCh. 12.3 - Prob. 1.3CQCh. 12.3 - Prob. 1.4CQCh. 12.4 - Prob. 2.1CQCh. 12.4 - Prob. 2.2CQCh. 12.4 - Prob. 2.3CQCh. 12.4 - Prob. 2.4CQCh. 12 - Prob. 1IQCh. 12 - Prob. 2IQ
Ch. 12 - Prob. 4IQCh. 12 - Prob. 5IQCh. 12 - Prob. 1RQCh. 12 - Prob. 2RQCh. 12 - Prob. 3RQCh. 12 - Prob. 4RQCh. 12 - Prob. 5DQCh. 12 - Prob. 6DQCh. 12 - Prob. 7DQCh. 12 - Prob. 8HMPCh. 12 - Prob. 9HMPCh. 12 - Prob. 13CSQCh. 12 - Prob. 14CSQCh. 12 - Prob. 15CSQCh. 12 - Prob. 16CSQCh. 12 - Prob. 17MLMCh. 12 - Prob. 18MLM
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