Modern Database Management
13th Edition
ISBN: 9780134773650
Author: Hoffer
Publisher: PEARSON
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Chapter 11, Problem 11.29PAE
Program Plan Intro
The use of SAS Visual Analytics tool.
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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…
You were shocked to see that Sunny Delight is a pretty small company given the number of unique analytics tools it has acquired. What potential effects may the many ownership changes at Sunny Delight have had on the kind and amount of business intelligence (BI) solutions used?- What are some of the trade-offs involved with a switch to an enterprise-level analytics solution for individual end users who are used to dealing with their own customized solutions for producing data?
If your future boss asks you to combine Power BI and Google Analytics together for use on an IT project, you would say:
Question 48 options:
a)
Google Analytics was created by Google Inc, while Power BI was created by Microsoft Inc, and there have inherent incompatibilities which would make such an implementation difficult
b)
Power BI would be excellent at importing and displaying data collected from Google Analytics, but not necessarily the reverse.
c)
Power BI would best be avoided at all costs since it only works on PC products, while Google Analytics is compatible with all sorts of hardware and software.
d)
Google Analytics would be best linking with XL spreadsheets of business sales data, and not to the cloud services available thru Power BI
Chapter 11 Solutions
Modern Database Management
Ch. 11 - Prob. 11.1RQCh. 11 - Prob. 11.2RQCh. 11 - Prob. 11.3RQCh. 11 - Prob. 11.4RQCh. 11 - Prob. 11.5RQCh. 11 - Prob. 11.6RQCh. 11 - Prob. 11.7RQCh. 11 - Prob. 11.8RQCh. 11 - Prob. 11.9RQCh. 11 - Prob. 11.10RQ
Ch. 11 - Prob. 11.11RQCh. 11 - Prob. 11.12RQCh. 11 - Prob. 11.13RQCh. 11 - Prob. 11.14RQCh. 11 - Prob. 11.15RQCh. 11 - Prob. 11.16RQCh. 11 - Describe the core idea underlying in-database...Ch. 11 - Prob. 11.18RQCh. 11 - Prob. 11.19RQCh. 11 - Prob. 11.20PAECh. 11 - Prob. 11.21PAECh. 11 - Prob. 11.22PAECh. 11 - Prob. 11.23PAECh. 11 - Prob. 11.24PAECh. 11 - Prob. 11.25PAECh. 11 - Prob. 11.26PAECh. 11 - Prob. 11.27PAECh. 11 - Problems and Exercises 11-22 through 11-28 are...Ch. 11 - Prob. 11.29PAECh. 11 - Prob. 11.30PAE
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- 1. Is it surprising to you that a relatively small company like Sunny Delight could end up with so many differ-ent analytics tools? How might the fact that Sunny Delight has changed ownership multiple times have impacted the number and variety of BI tools being used? 2. What are some of the trade-offs of a move to an enterprise-level analytics solution for individual end users who might have grown accustomed to working with their own customized solutions for generating data? 3. According to a recent report by Gartner, most busi-ness users will have access to some sort of self-service BI tool within the next few years; however, Gartner estimates that less than 10 percent of com-panies will have sufficient data governance practices in place to prevent data inconsistencies across the organization. Why do you think so many companies continue to invest in new analytics tools without implementing governance programs that ensure data consistency?arrow_forwardPredictive 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_forwardHowever, only approximately 10% of firms will have effective data governance practises in place to avoid data discrepancies throughout the organisation, as predicted by Gartner. Despite the fact that self-service BI tools will become widely available to business users in the next years, this is still the case. Despite the importance of maintaining consistent data, why do you think firms continue to invest in analytics tools without also purchasing governance programmes?arrow_forward
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