Concept explainers
To work with the complex task, the data scientists, end users and business managers are recommended to utilize the BI tools and techniques to produce the effective result.
Hence, the correct answer is option “D”.
Explanation of Solution
Data scientists, end users and business managers are meant analyze and work the digital data which can be complex.
- The complex tasks include the statistics of a website which are meant to assist a business in decision making. Thus to work with the complex task, the data scientists utilize the BI tools and techniques to produce the effective result.
Explanation for incorrect options:
Option a:
Business Intelligence utilizes the data, which is collected from multiple sources that may be internal or external to the organization. Thus, the given statement is valid.
Hence, the option “A” is wrong.
Option b:
Users have an ability to gain access to the data and other BI applications through web or through organization’s intranets and extranets and also can be accessed through the mobile. Thus, the given statement is valid.
Hence, the option “B” is wrong.
Option c:
BI applications uses the data from the data warehouses, data marts and data lakes. Thus, the given statement is valid.
Hence, the option “C” is wrong.
Want to see more full solutions like this?
Chapter 9 Solutions
Bundle: Principles of Information Systems, Loose-Leaf Version, 13th + MindTap MIS, 1 term (6 months) Printed Access Card
- Predictive modeling: Task: Ambulance Demand using data collected by the "NYC FDNY Emergency Medical Services Ambulance calls data” Data Generating Process: Using the service data: The data is collected by the "NYC FDNY Emergency Medical Services Ambulance calls data” to answer the questions: Frequency of data collection {how often is the data collected? After every incident? Daily? Yearly?} Agency / Organization collecting the data {who specifically is collecting the data? Please avoid using general references like “government” or “police} Original Unit of Analysis {What is the original unit of analysis for the data as provided? Calls for service? Census tracts? Cities?} Transformed Unit of Analysis{i.e. are you modifying the call data to support your model? Hint: if you are doing “demand” model you will be aggregating the data.} Data Generation Description{here, I want you in your own words to describe how you think the data was generated. Think 2-3 sentences.}…arrow_forwardWhich one of the following issues is the most significant barrier to the expansion of and further investment in this program? a. Demonstrating that a BI analytics system was the reason behind a decrease in fires would be difficult because it involves proving that a decrease in the number of fires can be attributed to the use of the analytics system rather than other factors. b. Buildings are constantly being torn down and new ones constructed. Existing buildings are constantly being renovated and remodeled. Thus, the likelihood of an individual building catching fire can vary greatly over time, without the FDNY being aware of the change in its status. The BI analytics system simply cannot handle this variation. c. Fire inspectors may not consistently evaluate a building using the key parameters of the system. As a result, a building may get a good score on one inspection and a bad score on its next inspection—even if nothing about the building has…arrow_forwardPredictive modeling: Task: Ambulance Demand using data collected by the NYC Traffic Data Data Generating Process: Using the service data: The data is collected by the "NYC FDNY Emergency Medical Services Ambulance calls data” to answer the questions: Frequency of data collection {how often is the data collected? After every incident? Daily? Yearly?} Agency / Organization collecting the data {who specifically is collecting the data? Please avoid using general references like “government” or “police} Original Unit of Analysis {What is the original unit of analysis for the data as provided? Calls for service? Census tracts? Cities?} Transformed Unit of Analysis{i.e. are you modifying the call data to support your model? Hint: if you are doing “demand” model you will be aggregating the data.} Data Generation Description{here, I want you in your own words to describe how you think the data was generated. Think 2-3 sentences.} Data Collector{Who collects the data? A…arrow_forward
- Predictive modeling: Task: Ambulance Demand Data Generating Process: NYC FDNY Emergency Medical Services Ambulance Calls data Asnwer the questions based on the NYC FDNY Emergency Medical Services Ambulance Call data? Dates of Coverage { NYC FDNY Emergency Medical Services Ambulance Calls data } Frequency of data collection {how often is the data collected? After every incident? Daily? Yearly?} Agency / Organization collecting the data {who specifically is collecting the data? Please avoid using general references like “government” or “police} Original Unit of Analysis {What is the original unit of analysis for the data as provided? Calls for service? Census tracts? Cities?} Transformed Unit of Analysis{i.e. are you modifying the call data to support your model? Hint: if you are doing “demand” model you will be aggregating the data.} Data Generation Description{here, I want you in your own words to describe how you think the data was generated. Think 2-3 sentences.}…arrow_forward1. What does the word “processing” in data pro- cessing mean? -Give three examples in which raw data also serves as useful information. -Give three business examples (not mentioned in the text) of data that must be processed to provide useful information. 4. Give three examples of subsystems not operat- ing in the context of IT. Why are these consid- ered subsystems and not systems? 5. How do TPSs and DSSs differ? 6. What is a problem? Give an example of a busi- ness problem and discuss how a computer- based information system could solve it. 7. What is synergy? How is synergy accomplished when a person uses a computer? Explain the connection between synergy and increased productivity. 8. “An information system consists of hardware and software.” Why is this statement inadequate? 9. In which situations does one need to make a decision? Give three examples not mentioned in the chapter. 10. How can a DSS help make decisions? 11. Note the word “support” in decision support systems. Why…arrow_forwardQuestion 5 In the context of account classification, which of the following is a benefit of single-factor analysis? O It employs a matrix system. O It is used for goal setting. It requires no data manipulation. O It provides equal weightage to all categories of accounts. O It uses statistical analysis.arrow_forward
- Predictive modeling: Task: Ambulance Demand Data Generating Process: for New York City Dates of Coverage {Please identify the specific dates that will be used for this dataset in your modeling effort other than the City Health Department's Emergency Medical Services Division. } Frequency of data collection {how often is the data collected? After every incident? Daily? Yearly?} Agency / Organization collecting the data {who specifically is collecting the data? Please avoid using general references like “government” or “police} Original Unit of Analysis {What is the original unit of analysis for the data as provided? Calls for service? Census tracts? Cities?} Transformed Unit of Analysis{i.e. are you modifying the call data to support your model? Hint: if you are doing “demand” model you will be aggregating the data.} Data Generation Description{here, I want you in your own words to describe how you think the data was generated. Think 2-3 sentences.} Data…arrow_forwardPlease answer fast 1.The difference between forecasting and prediction. Please provide a forecasting problem statement and a predictive problem statement regarding sales for next week. 2. The difference between operational and analytical reporting. Please provide an example of an operational report and an analytical report based on her database of information. 3. The difference between KPIs and metrics. Please provide her with an example of a KPI and a metric related to her business.arrow_forward3. With reference to the PizzaBase case study, which of the following is most likely list of attributes at the analysis stage? Choose only one option. (a) cola, base, price, size, lemonade, payment. (b) flavor, variety, payment, final, display, meal, tomato. (c) progress, variety, flavor, price, touchSensitive, size, drink. (d) base, price, variety, size, progress, flavor. 4. With reference to Figure 7.27, which diagram is the best model of Pizzas in the PizzaBase restaurant? Choose only one option. (a) Diagram 1. (b) Diagram 2. (c) Diagram 3.arrow_forward
- I am conducting a reasearch project about the following reaserch question: "Can the use of big data and predictive analytics help real estate investors and developers identify promising investment opportunities and mitigate risks better than standard data?" I will focus my research on the specific applications predictive analytics such as property valuation and risk management. The potential variables I am considering on using to measure this are things like, Property condition: The condition of a property can affect its value and level of risk. Variables such as age of the property, maintenance and repair history, and structural integrity can be used to assess the condition of a property. Market trends: Market trends such as supply and demand, vacancy rates, and rent trends can be used to assess the value and level of risk of a property. Financing terms: The financing terms of a property, including interest rates and loan terms, can affect its value and level of risk. Economic…arrow_forwardc) Discuss three differences between the Pyramid and Funnel forms ofstructuring questions for data/information gathering. d) a) Discuss the various components of the Google Meet online platform that we used for our Live Online Video Lectures for this course.arrow_forwardLet's discuss how we justify the ROI for analytical data projects and cloud computing platforms. How can this be measured, given we are using these outputs for decision-making?arrow_forward
- Principles of Information Systems (MindTap Course...Computer ScienceISBN:9781305971776Author:Ralph Stair, George ReynoldsPublisher:Cengage LearningManagement Of Information SecurityComputer ScienceISBN:9781337405713Author:WHITMAN, Michael.Publisher:Cengage Learning,Fundamentals of Information SystemsComputer ScienceISBN:9781337097536Author:Ralph Stair, George ReynoldsPublisher:Cengage Learning
- Fundamentals of Information SystemsComputer ScienceISBN:9781305082168Author:Ralph Stair, George ReynoldsPublisher:Cengage Learning