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

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What does it mean to induce structure into the text-based data? Discuss the alternative ways of inducing structure into text-based data.
What is the role of NLP in text mining? Discuss the capabilities and limitations of NLP in the context of text mining.
What are the two common methods for polarity identification?Explain.
What is SEO? Who benefits from it? How?
Go to teradatauniversitynetwork.com and find the case study named “eBay Analytics.” Read the case carefully, extend your understanding of the case by searching the Internet for additional information, and answer the case questions.
Go to teradatauniversitynetwork.com and find the sentiment analysis case named “How Do We Fix an App Like That?” Read the description, and follow the directions to download the data and the tool to carry out the exercise.
Visit teradatauniversitynetwork.com. Identify cases about Web mining. Describe recent developments in the field. If you cannot find enough cases at the Teradata University Network Web site, broaden your search to other Webbased resources.
Browse the Web and your library’s digital databases to identify articles that make the linkage between text/Web mining and contemporary business intelligence systems.
Interview administrators in your college or executives in your organization to determine how text mining and Web mining could assist them in their work. Write a proposal describing your findings. Include a preliminary cost–benefit analysis in your report.
Go to statsoft.com. Select Downloads, and download at least three white papers on applications. Which of these applications may have used the data/text/Web mining techniques discussed in this chapter?
Go to ibm.com. Download at least three white papers on applications. Which of these applications may have used the data/text/Web mining techniques discussed in this chapter?
Go to attensity.com. Download at least three white papers on Web analytics applications. Which of these applications may have used a combination of data/text/Web mining techniques?
What is the difference between decision analysis with a single goal and decision analysis with multiple goals (i.e., criteria)? Explain the difficulties that may arise when analyzing multiple goals.
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
This exercise was contributed by Dr. Rick Wilson of Oklahoma State University to illustrate the modeling capabilities of Excel Solver.You are working with a large set of temporary workers(collection of interns, retirees, etc.) to create a draft plan to staff a nighttime call center (for the near
Compared to regular analytics, do you think stream analytics will have more (or less) use cases in the era of Big Data analytics? Why?
Go to teradatauniversitynetwork.com, and search for BSI Videos that talk about Big Data. Review these BSI videos, and answer the case questions related to them.
Go to claudera.com. Find at least three customer case studies on Hadoop implementation, and write a report where you discuss the commonalities and differences of these cases.
Go to hortonworks.com. Find at least three customer case studies on Hadoop implementation, and write a report in which you discuss the commonalities and differences of these cases.
What types of new applications can emerge from knowing locations of users in real time? What if you also knew what they have in their shopping cart, for example?
“Location-tracking–based profiling is powerful but also poses privacy threats.” Comment.
Some say that analytics in general dehumanize managerial activities, and others say they do not. Discuss arguments for both points of view.
Diagnosing infections and prescribing pharmaceuticals are the weak points of many practicing physicians(according to E. H. Shortliffe, one of the developers of MYCIN). It seems, therefore, that society would be better served if analytics-based diagnosis systems were used by more physicians. Answer
Identify new cases of violations of user privacy from current literature and their impacts on data science as a profession.
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?
Search the Internet to find examples of how analytics systems can facilitate activities such as empowerment, mass customization, and teamwork.
Investigate the American Bar Association’s Technology Resource Center (abanet.org/tech/ltrc/techethics.html)and nolo.com. What are the major legal and societal concerns and advances addressed there? How are they being dealt with?
Explore several sites related to healthcare (e.g., WebMD.com, who.int). Find issues related to analytics and privacy.Write a report on how these sites improve healthcare.
Visit Matt Turck’s IoT Ecosystem blog at http://mattturck.com/2016/03/28/2016-iot-landscape/. Identify at least two companies in at least two vertical and two horizontal sectors. Go to those companies’ Web sites and prepare a report on their offerings and customer successes.
Enter Humanyze.com. Review various case studies and summarize one interesting application of sensors in understanding social exchanges in organizations.
The objective of the exercise is to familiarize you with the capabilities of smartphones to identify human activity.The data set is available at archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones.It contains accelerometer and gyroscope readings on 30 subjects who had the
Survey the literature from the past 6 months to find one application each for DSS, BI, and analytics. Summarize the applications on one page, and submit it with the exact sources.
Go to teradatauniversitynetwork.com. Using the site password your instructor provides, register for the site if you have not already previously registered. Log on and learn the content of the site. You will receive assignments related to this site. Prepare a list of 20 items on the site that you
Go to the TUN site. Explore the Sports Analytics page, and summarize at least two applications of analytics in any sport of your choice.
Go to teradatauniversitynetwork.com and find the paper titled “Data Warehousing Supports Corporate Strategy at First American Corporation” (by Watson, Wixom, and Goodhue). Read the paper, and answer the following questions:a. What were the drivers for the DW/BI project in the company?b. What
Go to http://analytics-magazine.org/issues/digital-editions and find the January/February 2012 edition titled“Special Issue: The Future of Healthcare.” Read the article“Predictive Analytics—Saving Lives and Lowering Medical Bills.” Answer the following questions:a. What problem is being
Go to http://analytics-magazine.org/issues/digital-editions, and find the January/February 2013 edition titled“Work Social.” Read the article “Big Data, Analytics and Elections,” and answer the following questions:a. What kinds of Big Data were analyzed in the article Coo? Comment on some
Search the Internet for material regarding the work of managers and the role analytics plays. What kinds of references to consulting firms, academic departments, and programs do you find? What major areas are represented?Select five sites that cover one area, and report your findings.
Go to the TUN questions site. Look for BSI videos. Review the video of the “Case of Retail Tweeters.” Prepare a onepage summary of the problem, proposed solution, and the reported results. You can also find associated slides on slideshare.net.
The discussion for the analytics ecosystem also included several typical job titles for graduates of analytics and data science programs. Research Web sites such datasciencecentral.com and tdwi.org to locate at least three additional similar job titles that you may find interesting for your career.
Where does the data for business analytics come from?What are the sources and the nature of that incoming data?
Why is the original/raw data not readily usable by analytics tasks?
Data reduction can be applied to rows (sampling) and/or columns (variable selection). Which is more challenging?Explain.
What is the relationship between statistics and business analytics (consider the placement of statistics in a business analytics taxonomy)?
What is a business report? Why is it needed?
Why has information visualization become a centerpiece in BI and business analytics? Is there a difference between information visualization and visual analytics?
How do you determine the right chart for the job? Explain and defend your reasoning.
What is an information dashboard? What do they present?
Download the “Voting Behavior” data and the brief data description from the book’s Web site. This is a data set manually compiled from counties all around the United States. The data is partially processed, that is, some derived variables are created. Your task is to thoroughly preprocess the
Download Tableau (at tableau.com, following academic free software download instructions on their site). Using the Visualization_MFG_Sample data set (available as an Excel file on this book’s Web site) answer the following questions:a. What is the relationship between gross box office revenue and
Go to UCI data repository (archive.ics.uci.edu/ml/datasets.html), and identify two data sets, one for estimation/regression and one for classification. Using Microsoft Excel, or any other statistical software:a. Develop and interpret a linear regression model.b. Develop and interpret a logistic
Go to KDnuggest.com, and become familiar with the range of analytics resources available on this portal.Then, identify an article, a white paper, or an interview script that deals with the nature of data, management of data, and/or governance of data as it relates to BI and business analytics, and
Download an information visualization tool, such as Tableau, QlikView, or Spotfire. If your school does not have an educational agreement with these companies, then a trial version would be sufficient for this exercise.Use your own data (if you have any) or use one of the data sets that comes with
Go to teradatauniversitynetwork.com. Find the assignments for SAS Visual Analytics. Using the information and step-by-step instructions provided in the assignment, execute the analysis on the SAS Visual Analytics tool(which is a Web-enabled system that does not require any local installation).
Analytics starts with data. Identifying, accessing, obtaining, and processing of relevant data are the most essential tasks in any analytics study. As a team, you are tasked to find a large enough real-world data (either from your own organization, which is the most preferred, or from the Internet
Go to a well-known information dashboard provider Web site(dundas.com, idashboards.com, enterprise-dashboard.com). These sites provide a number of examples of executive dashboards. As a team, select a particular industry(e.g., healthcare, banking, airline). Locate a handful of example dashboards
Go to teradatauniversitynetwork.com. From there, go to University of Arkansas data sources. Choose one of the large data sets, and download a large number of records (this may require you to write an SQL statement that creates the variables that you want to include in the data set). Come up with at
A DM can replace a data warehouse or complement it.Compare and discuss these options.
Select a public company of interest. Using the company’s 2016 annual report, create three strategic financial objectives for 2017. For each objective, specify a strategic goal or target. The goals should be consistent with the company’s 2016 financial performance.
Create a strategy for a hypothetical company, using the four perspectives of the BSC. Express the strategy as a series of strategic objectives. Produce a strategy map depicting the linkages among the objectives.
Consider the case of developing a data warehouse for Coca-Cola Japan available at the DSS Resources Web site, http://dssresources.com/cases/coca-colajapan. Read the case, and answer the nine questions for further analysis and discussion.
Read the full Continental Airlines case (a hugely popular data warehousing success story) at teradatauniversit ynetwork.com, and answer the questions.
At teradatauniversitynetwork.com, watch the Web seminars titled “Real-Time Data Warehousing: The Next Generation of Decision Support Data Management” and“Building the Real-Time Enterprise.” Read the article“Teradata’s Real-Time Enterprise Reference Architecture:A Blueprint for the
At teradatauniversitynetwork.com, watch the Web seminars“Data Integration Renaissance: New Drivers and Emerging Approaches,” “In Search of a Single Version of the Truth: Strategies for Consolidating Analytic Silos,” and“Data Integration: Using ETL, EAI, and EII Tools to Create an
Consider the future of data warehousing. Perform a Web search on this topic. Also, read these two articles:Agosta, L. (2006, March 31). Data warehousing in a flat world: Trends for 2006. DM Direct Newsletter; and Geiger, J. G. (2005, November). CIFe: Evolving with the times. DM Review, 38–41.
Go to YouTube.com, and search for “Teradata BSI Cases,”where BSI stands for “Business Solutions Inc.” Select three interesting data warehousing cases, watch them carefully, and write a report to discuss your findings about the business problems and proposed investigative solutions.
Go to teradatauniversitynetwork.com. Select the“Articles” content type. Browse down the list of articles, and locate one titled “Business/Corporate Performance Management: Changing Vendor Landscape and New Market Targets.” Based on the article, answer the following questions:a. What is the
Go to teradatauniversitynetwork.com. Select the “Case Studies” content type. Browse down the list of cases, and locate the one titled “Real-Time Dashboards at Western Digital.” Based on the article, answer the following questions:a. What is VIS?b. In what ways is the architecture of VIS
Kathryn Avery has been a DBA with a nationwide retail chain (Big Chain) for the past 6 years. She has recently been asked to lead the development of Big Chain’s first data warehouse. The project has the sponsorship of senior management and the CIO. The rationale for developing the data warehouse
Jeet Kumar is the administrator of data warehousing at a big regional bank. He was appointed 5 years ago to implement a data warehouse to support the bank’s CRM business strategy. Using the data warehouse, the bank has been successful in integrating customer information, understanding customer
Interview administrators in your college or executives in your organization to determine how data warehousing could assist them in their work. Write a proposal describing your findings. Include cost estimates and benefits in your report.
Go through the list of data warehousing risks described in this chapter and find two examples of each in practice.
Access teradata.com and read the white papers“Measuring Data Warehouse ROI” and “Realizing ROI:Projecting and Harvesting the Business Value of an Enterprise Data Warehouse.” Also, watch the Web-based course “The ROI Factor: How Leading Practitioners Deal with the Tough Issue of Measuring
Read the article by Liddell Avery, K., & Watson, H. J.(2004, Fall). Training data warehouse end-users. Business Intelligence Journal, 9(4), 40–51 (which is available at teradatauniversitynetwork.com). Consider the different classes of end users, describe their difficulties, and discuss the
Virtually every BPM/CPM vendor provides case studies on their Web sites. As a team, select two of these vendors(you can get their names from the Gartner or AMR lists). Select two case studies from each of these sites.For each, summarize the problem the customer was trying to address, the
Search the Internet to find information about data warehousing.Identify some newsgroups that have an interest in this concept. Explore ABI/INFORM in your library, e-library, and Google for recent articles on the topic.Begin with tdwi.org, technologyevaluation.com, and the major vendors:
Survey some ETL tools and vendors. Start with fairisaac.com and egain.com. Also consult dmreview.com (now called informationbuilders.com).
Contact some data warehouse vendors and obtain information about their products. Give special attention to vendors that provide tools for multiple purposes, such as Cognos, Software A&G, SAS Institute, and Oracle. Free online demos are available from some of these vendors.Download a demo or two and
Explore teradata.com for developments and success stories about data warehousing. Write a report about what you have discovered.
Explore teradata.com for white papers and Web-based courses on data warehousing. Read the former and watch the latter. (Divide the class so that all the sources are covered.)Write a report about what you have discovered.
Find recent cases of successful data warehousing applications.Go to data warehouse vendors’ sites and look for cases or success stories. Select one, and write a brief summary to present to your class.
Visit teradatauniversitynetwork.com. Identify case studies and white papers about data mining. Describe recent developments in the field of data mining and predictive modeling.
Go to teradatauniversitynetwork.com. Locate Web seminars related to data mining. In particular, locate a seminar given by C. Imhoff and T. Zouqes. Watch the Web seminar. Then answer the following questions:a. What are some of the interesting applications of data mining?b. What types of payoffs and
For this exercise, your goal is to build a model to identify inputs or predictors that differentiate risky customers from others (based on patterns pertaining to previous customers) and then use those inputs to predict new risky customers. This sample case is typical for this domain.The sample data
For this exercise, you will replicate (on a smaller scale) the box-office prediction modeling explained in Application Case 4.6. Download the training data set from Online File W4.2, MovieTrain.xlsx, which is in Microsoft Excel format. Use the data description given in Application Case 4.6 to
This exercise is aimed at introducing you to association rule mining. The Excel data set baskets1ntrans.xlsx has around 2,800 observations/records of supermarket trans products data. Each record contains the customer’s ID and Products that they have purchased. Use this data set to understand the
In this assignment you will use a free/open-source data mining tool, KNIME (knime.org) to build predictive models for a relatively small Customer Churn Analysis data set. You are to analyze the given data set (about the customer retention/attrition behavior for 1,000 customers) to develop and
Examine how new data capture devices such as RFID tags help organizations accurately identify and segment their customers for activities such as targeted marketing.Many of these applications involve data mining.Scan the literature and the Web and then propose five potential new data mining
Interview administrators in your college or executives in your organization to determine how data mining, data warehousing, OLAP, and visualization tools could assist them in their work. Write a proposal describing your findings. Include cost estimates and benefits in your report.
A very good repository of data that has been used to test the performance of many data mining algorithms is available at ics.uci.edu/~mlearn/MLRepository.html.Some of the data sets are meant to test the limits of current machine-learning algorithms and to compare their performance with new
Large and feature-rich data sets are made available by the U.S.government or its subsidiaries on the Internet. For instance, see a large collection of government data sets (data.gov), the Centers for Disease Control and Prevention data sets(www.cdc.gov/DataStatistics), Surveillance, Cancer.org’s
Consider the following data set, which includes three attributes and a classification for admission decisions into an MBA program:a. Using the data shown, develop your own manual expert rules for decision making.b. Use the Gini index to build a decision tree. You can use manual calculations or a
Visit the AI Exploratorium at cs.ualberta.ca/~aixplore. Click the Decision Tree link. Read the narrative on basketball game statistics. Examine the data, and then build a decision tree. Report your impressions of the accuracy of this decision tree. Also, explore the effects of different algorithms.
Survey some data mining tools and vendors. Start with fico.com and egain.com. Consult dmreview.com, and identify some data mining products and service providers that are not mentioned in this chapter.
Find recent cases of successful data mining applications.Visit the Web sites of some data mining vendors, and look for cases or success stories. Prepare a report summarizing five new case studies.
Go to vendor Web sites (especially those of SAS, SPSS, Cognos, Teradata, StatSoft, and Fair Isaac) and look at success stories for BI (OLAP and data mining) tools.What do the various success stories have in common?How do they differ?
Go to statsoft.com (now a Dell company). Download at least three white papers on applications. Which of these applications may have used the data/text/Web mining techniques discussed in this chapter?
Go to sas.com. Download at least three white papers on applications. Which of these applications may have used the data/text/Web mining techniques discussed in this chapter?
Go to spss.com (an IBM company). Download at least three white papers on applications. Which of these applications may have used the data/text/Web mining techniques discussed in this chapter?
Go to teradata.com. Download at least three white papers on applications. Which of these applications may have used the data/text/Web mining techniques discussed in this chapter?

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

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