Business Intelligence Analytics And Data Science A Managerial Perspective 4th Global Edition Ramesh Sharda, Dursun Delen, Efraim Turban - Solutions

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In industrial equipment such as trains, what parameters might one measure on a regular basis to estimate the equipment’s current performance and future repair needs?
How would weather data be useful in analyzing a train’s equipment status?
Estimate how much data you might collect in one month using, say, 1,000 sensors on a train. Each sensor might yield 1 KB data per second.
How would you propose to store such data sets?
What are the technology building blocks of IoT?
Search online for applications of RFID in healthcare, entertainment, and sports.
Identify some key players in the IoT ecosystem. Explore their offerings.
What are some of the major issues managers have to keep in mind in exploring IoT?
How does cloud computing affect BI?
Search online for other applications of consumer-oriented analytical applications.
What other applications can you imagine if you were able to access cell phone location data?
In your view, who should own the data about your use of a car?
Identify other examples of analytics applications to redesign work space or team behavior.
How is cognitive computing affecting industry structure?
Which jobs are most likely to change as a result of automation?
Study The Economist (Standage, 2016) report mentioned in this section. What other impacts of automation did you find interesting?
What is the concept of fog computing?
Outline the cloud-based conceptual architecture and major components that support Big Data analytics.
Which are the architecture building blocks in the technology layer that realize the services provided out of the Cloud?
Which are the essential technologies for cloud computing?
Which are the typical deployment models for cloud computing?
What are the major areas of ethics that are related to DSS and Big Data analytics?
What are the impacts of analytics on organizations?
What skills should a data scientist acquire?
What impact do you think AI, analytics, and cognitive computing will have on industry?
What impact do you think AI, analytics, and cognitive computing will have on jobs and the labor market?
Go to teradatauniversitynetwork.com and search for case studies. Watch the BSI Video about the Case of Misconnected Passengers that you may have watched while reading Chapter 1.
What new applications can you imagine with the level of detailed data an airline can capture today?
Why did IBM spend all that time and money to build Watson? Where is the return on investment (ROI)?
What are some of the most popular application areas of text mining?
What is NLP?
What are the three main areas of Web mining?
What things can help Web pages rank higher in the search engine results?
What are the similarities and differences between techniques used by data mining and text mining?
What are the challenges that emerge in the implementation of natural language processing (NLP) for text-mining purposes?
What assistance can the WordNet provide for text mining with NLP?
In the case of natural languages other than English, how can the building up and continuous maintenance of the WordNet concept network speed up?
Can text analytics help support the fight against extremism?
Can text analytics distinguish fake news from credible news?
What is the relationship between biomedical research, text mining, and NLP?
Linked data is an open data space that emerges from the publication and interlinking of structured data on the Web using Semantic Web technology. How can this wealth of data be utilized? Explore this area from the viewpoint of text analytics and create a professional report about the technologies
Create a project plan for the introduction and rollout of a text analytics program that may use Web technologies.The plan should include the selected data mining process, life cycle, cost–benefit analysis, impact analysis, alternatives for enterprise and technology architecture, alternative
Visit the Medline Web site (https://www.nlm.nih.gov/bsd/pmresources.html). Collect abstracts as well as full texts of articles that deal with colorectal cancer. Select a data mining tool with text mining capabilities (such as RapidMiner Community Edition) and install it. Using text analytics,
Find a readily available sentiment text data set (see Technology Insights 5.3 for a list of popular data sets)and download it into your computer. If you have an analytics tool that is capable of text mining, use that. If not, download RapidMiner (http://rapid-i.com) and install it.Also install the
Examine how Web-based data can be captured automatically using the latest technologies. Once captured, what are the potential patterns that you can extract from these content-rich, mostly unstructured data sources?Internet Exercises
What decision was being made in this vignette?
What data (descriptive and or predictive) might one need to make the best allocations in this scenario?
What other costs or constraints might you have to consider in awarding contracts for such routes?
Which other situations might be appropriate for applications of such models?
Define the product-mix problem.
What does environmental scanning and analysis mean?
Why is the concept of model management important?
How does knowledge-based modeling relate to DSS modeling?
List the major categories of models and discuss their suitability for DSS tasks.
What are the components of decision support mathematical models?
What is the basic structure of mathematical models?Compare them with other types of models you have encountered during your study.
Discuss the concept of risk analysis for DSS in the context of enterprise-wide risk assessment and management.
A manager with knowledge of business management may use data mining and analytics tools (Rapid Miner, Talend, etc.), R scripting language and spreadsheets (MS EXCEL, Libre Office), or a combination of them. Which task is each most suitable for?
What are the major classes of mathematical programming?
What are the most common optimization models that can be solved by mathematical programming methods?
What are the aims for which sensitivity analysis is used?
Create the spreadsheet models shown in Figures 6. 3 and 6.4.a. What is the effect of a change in the interest rate from 8% to 10% in the spreadsheet model shown in Figure 6.3?b. For the original model in Figure 6.3, what interest rate is required to decrease the monthly payments by 20%? What change
This problem was contributed by Dr. Rick Wilson of Oklahoma State University.The recent drought has hit farmers hard. Cows are eating candy corn!You are interested in creating a feed plan for the next week for your cattle using the following seven nontraditional feeding products: Chocolate Lucky
What problem did customer service cancellation pose to AT’s business survival?
Identify and explain the technical hurdles presented by the nature and characteristics of AT’s data.
What is sessionizing? Why was it necessary for AT to sessionize its data?
Research other studies where customer churn models have been employed. What types of variables were used in those studies? How is this vignette different?
Besides Teradata Aster, identify other popular Big Data analytics platforms that could handle the analysis described in the preceding case.
What do you think the future of Big Data will be like? Will it leave its popularity to something else? If so, what will it be?
Define data stream mining. What additional challenges are posed by data stream mining?
What are the most fruitful industries for stream analytics?
Discuss the high-level conceptual architecture for major elements and relationships in Big Data Solutions.
What are the similarities and differences between highlevel conceptual architecture and architecture for data warehousing and data mining?
What information technologies can the computational demand of Big Data Analytics fulfil?
What issues should be considered before embarking on a Big Data exercise?
List some of the complementary software tools and opensource software that belong to the HADOOP ecosystem.
List the “demystifying” facts you have learned about Hadoop.
NoSQL databases deal in technologies such as keyvalue, column-oriented, object-oriented, documentoriented, and graphs. Look up some NoSQL databases and categorize them.
What is the relationship between the extract, transform, and Load and NoSQL database management systems with regard to data warehousing?
List some programming or scripting language tools that can be applied in a Big Data environment.
What should companies do to succeed with Big Data?
What is the difference between stream analytics and perpetual analytics?
How would you define the concepts of data, information, and knowledge? How can they be differentiated?
How would you define data as “analytic-ready”?
What are the readiness levels of data for analytics exercises and what are the problems and issues that should be paid attention to?
What is the difference between structured, semi-structured, and unstructured data?
Why is it important to understand the various categories of data while preparing a data analysis and data mining exercise?
What is the difference between static and dynamic data?Which analytic method is suitable for dynamic data?
How can the software vendor of a data analytics tool help data analysts during the definition of variables when the appropriate data category must be ordered to input parameters for successful running of machine learning algorithms?Provide examples.
What is a business report? Why is it needed?
As a project team comprising data scientists and data, business, and system analysts, create a project plan for an enterprise that can exploit its own data warehouse and database management systems with the extension of external public and fee-paying data sources. Discuss the applicable methods,
Collect company information from the Internet with the help of the following sites:a. CrunchBase (https://github.com/petewarden/crunch crawl)b. ZoomInfo (http://www.zoominfo.com/)c. Hoover’s (http://developer.hoovers.com/docs34/companyrest)d. Yahoo! Finance (finance.yahoo.com)Create a
Look up the Rapidminer site (https://rapidminer.com/), download the Community Edition, and install it. Go to https://sites.google.com/site/dataminingforthemasses/to find several data samples for data mining and analytics.The project team should decide which data samples would be appropriate for
Why is it important for IRS and for U.S. state governments to use data warehousing and business intelligence (BI) tools in managing state revenues?
What were the challenges the state of Maryland was facing with regard to tax fraud?
What was the solution they adopted? Do you agree with their approach? Why?
What were the results that they obtained? Did the investment in BI and data warehousing pay off?
What other problems and challenges do you think federal and state governments are having that can benefit from BI and data warehousing?
How does a data warehouse differ from a transactional database?
Differentiate among a DM, an ODS, and an EDW.

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Business Intelligence Analytics And Data Science A Managerial Perspective 4th Global Edition Ramesh Sharda, Dursun Delen, Efraim Turban - Solutions

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