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Terms in this set (53)A credit card provider uses a software to determine the likelihood of customers defaulting on their payments. The software assigns a credit score to each customer based on their past transactional records. This software is an example of a ________ system. business intelligence Which of the following statements is true about business intelligence systems? They help identify patterns in mountains of data. Which of the following is an effectiveness objective of the BI process? assessing current conditions Which of the following is an efficiency objective of the BI process? meeting time constraints Which of the following statements is true of a BI system? A BI server is capable of delivering output in a variety of formats The special repository for business intelligence applications is called a ________. data warehouse
In BI terms, operational databases are often referred to as ________. online transactional processing systems Which of the following is referred to as an online analytical processing system? the data warehouse Which of the following statements is true of the reporting process? It applies simple operations to reveal patterns in data. Which of the following types of analyses is used in the reporting process? RFM analysis A digital dashboard is a(n) ________. visualization that is customized for a particular user A(n) ________ analysis is used to analyze and rank customers according to their purchasing patterns. RFM Which of the following statements is true about RFM analysis? It uses more than a single attribute to sort the customers. The supermarket from which Robert purchases groceries gives him an RFM score of 115 (R=1; F=1; M=5, on a scale of 1 to 5). Based on this information, which of the following is a valid conclusion? Robert frequently purchases inexpensive items from the supermarket. An RFM score of 555 (R=5; F=5; M=5, on a scale of 1 to 5) assigned to a customer indicates that the customer ________. has not purchased anything recently In an RFM analysis, what will be the M score of a customer who spends the least amount of money, when rated on a scale of 1 to 5? A) 5 ________ provides the ability to analyze data using basic operations such as sorting, grouping, filtering, and calculating but, the operation is typically repeated. OLAP Drilling down into data means ________. dividing the data into more detail An OLAP measure is a(n) ________. data item to be processed in an OLAP report An OLAP ________ is a characteristic or attribute of an info cube. dimension An OLAP report that displays information using three dimensions is called a(n) ________. info cube An organization uses a business intelligence system to predict products that tend to be purchased together. This is an example of a(n) ________ process. data mining Which of the following statements is true regarding the data mining process? Its objective is better prediction of various outcomes. Regression analysis is an example of a ________ analysis process. data mining ________ analysis is a type of data mining analysis which measures the impact of a set of variables on another variable. Regression Regression analysis is used to ________. predict future performance Which of the following is used to predict cross-selling opportunities? market basket analysis A retail store wants to identify the types of products that they should bundle together on sale. Which of the following types of analysis would be most suitable for this purpose? market basket Selling products in addition to what customers request is called ________. cross-selling Margin Retails, a local supermarket, stocks up aftershave products next to the shaving creams predicting that consumers purchasing the shaving creams are most likely to purchase the aftershaves. In this case Margin's analysis technique is typically based on ________. cross-selling Which of the following is an example of unsupervised data mining? market basket analysis Which of the following is true about unsupervised data mining? Analysts do not create a model before running the analysis Which of the following is an example of supervised data mining? regression analysis Which of the following is true about supervised data mining? Analysts develop a model prior to the analysis. ________ is the creation of images or diagrams that communicate a data pattern in a highly readable format. Visualization A sales manager uses a bar chart to describe sales projections to his associates. This scenario exemplifies ________. visualization Which of the following processes supported by BI information systems refers to the selection of a choice among available options and can be done individually or in a group? decision making ________ is a rule-based system that acquires and stores human knowledge in the form of If/Then rules. Expert system Which of the following is an objective of the NBO process? to predict the number of customers who will accept an offer Which of the following is a feature of Big Data? Its datasets are at least a petabyte in size. Because of the massive volume of Big Data, it has to be processed using the ________. MapReduce technique ________ is an open-source program supported by the Apache Foundation that implements MapReduce on potentially thousands of computers. Hadoop The database operations in a MapReduce system are slow as the system keeps the data in ________. secondary storage With the introduction of SAP HANA, the database operations of Big Data systems are faster when compared to MapReduce systems. Which of the following statements justifies this improvement? A solid-state memory device is used to store data. Data that are problematic for business intelligence are termed ________. dirty data An organization uses SAP financial management software to store accounting details and Microsoft CRM software to record customer transactions. Managers face problems when they have to make decisions based on both sets of data, as the data are stored on two different platforms. Such data are referred to as ________ data. nonintegrated Granularity refers to the ________. level of detail of the data ________ include the activities of a customer on a Web site. Clickstream data Which of the following BI-related problems is most commonly associated with organizational leaders? overselling the potential of a BI system The SAP OLAP database is referred to as ________. data warehouse The collection of operational process data that SAP uses is referred to as ________. online transactional processing Which of the following is a factor that will impact the growth of business intelligence in the future? mobile devices Which of the following is most likely to cause a technology backlash with the growth of business intelligence? consumer privacy Sets with similar termsCh21-30553 terms Noemi_Aguiar ITM Exam 353 terms sierradubreuil MIS 3305 Exam 335 terms Allyson_Mazoch MIS Ch.935 terms mikaeli_robinson Sets found in the same folderITM Chapter 886 terms PeterHurst CISM 3131 Exam 2: Chapters 5, 6, and 760 terms Hilary_Murray6 ITM2000 Test 1 - Guilliams71 terms jonahfindley MIS Chapter 670 terms techtrack9 Other sets by this creatorLambda6 terms Noemi_Aguiar AWS Lambda Quiz24 terms Noemi_Aguiar ERP25 terms Noemi_Aguiar Mid134 terms Noemi_Aguiar Verified questions
ADVANCED MATH Find an arithmetic progression of length six that begins with the integer 7 and where every term is a prime Verified answer
ADVANCED MATH The height, h, in metres, of a toy rocket at any time, t, in seconds, during its flight can be estimated using the formula $h = - 5 t ^ { 2 } + 23 t + 10$ Write the formula in factored form and determine when the rocket will fall to the ground. Verified answer
ADVANCED MATH If a store sells $139,499 worth of electronic organizers at a sale price that is an exact dollar amount less than$300 and more than $1, how many electronic organizers did they sell? Verified answer ADVANCED MATH Years ago, before overnight delivery services and e-mail, people would send messages by carrier pigeon and would keep an ample supply of pigeons in pigeonholes on their rooftops. Suppose you have a certain number of pigeons, let's say P of them, but you have only P-1 pigeonholes. If every pigeon must be kept in a hole, what can you conclude? How does the principle we discussed in this section relate to this question? Verified answer Recommended textbook solutionsElementary Number Theory7th EditionDavid Burton 776 solutions Book of Proof2nd EditionRichard Hammack 340 solutions Numerical Analysis9th EditionJ. Douglas Faires, Richard L. Burden 873 solutions Elementary Number Theory, International Edition7th EditionDavid Burton 776 solutions Other Quizlet sets写作模板(第一段)默写版17 terms fangsudan Quiz three BPM15 terms jittershagen Salivary Glands Anatomy-Nation23 terms swagatikadash SCI86 terms britbickels Related questionsQUESTION The emergence, for Amazon.com, of new competitors in the sphere of online shopping illustrates what disadvantage posed by the use of information systems to achieve competitive advantage? 15 answers QUESTION The concern that the structure of data is consistent within an information source reflects which quality dimension of information? 15 answers QUESTION In a manufacturing assembly line, human employees are replaced by robotic arms, which are responsible for the one task of hammering nails into the product being manufactured. This is an example of: 7 answers QUESTION What type of access controls are hardware or software mechanisms used to manage access to resources and systems, and provide protection for those resources and systems? 9 answers Which of the following statement about process mining are true?Which of the following statements about Process Mining is/are true? - Process Mining started as an industry field and is now also subject to academic research. - Process Mining allows for a variety of analytics capabilities including organizational mining, customer journey mapping and prediction.
What is the main reason parallel processing is used for data mining?The key motive for this parallelism is to make analysis more rapidly. This is generally attained by using multiple processors or multiple computers, execution dissimilar aspects of data analysis or mining, performing the tasks alongside and later consolidating the data into a single report.
Which data mining process methodology is the most comprehensive According to KDnuggets com rankings?CRISP-DM remains the most popular methodology for analytics, data mining, and data science projects, with 43% share in latest KDnuggets Poll, but a replacement for unmaintained CRISP-DM is long overdue.
What is the scalability of a data mining method refer to?Scalability is thus meant as distributed data processing but even as services dynamically provided to the users. The system is scalable in the number of users and in the size of the data to process. Statistical data processing can be applied to perform Niche Modelling or Ecological Modelling experiments.
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