Mid-term ISM 4402

58.

As the number of potential BI applications increases, the need to justify and prioritize them arises. This is not an easy task due to the large number of ________ benefits. INTENGIBLE

46.

Fundamental reasons for investing in BI must be ________ with the company's business strategy. ALIGNED

41. Complementary systems

How are enterprise resources planning (ERP) systems related to supply chain management (SCM) systems?

16.Amazon uses clustering algorithms to segment customers into different clusters to be able to target specific promotions to them. The company also uses association mining techniques to estimate relationships between different purchasing behaviors. That is, if a customer buys one product, what else is the customer likely to purchase? That helps Amazon recommend or promote related products. For example, any product search on Amazon.com results in the retailer also suggesting other similar products that may interest a customer.

How does Amazon.com use predictive analytics to respond to product searches by the customer?

31.

In the 2000s, the DW-driven DSSs began to be called BI systems. --- TRUE

42.

In the Opening Vignette on Sports Analytics, what type of modeling was used to predict offensive tactics? HEATS MAPS

34.ticket prices

In the Opening Vignette on Sports Analytics, what was adjusted to drive one-time ticket sales? --

12.1980 s

In what decade did disjointed information systems begin to be integrated?

17. False

Information systems that support such transactions as ATM withdrawals, bank deposits, and cash register scans at the grocery store represent transaction processing, a critical branch of BI.

13.• Descriptive or reporting analytics refers to knowing what is happening in the organization and understanding some underlying trends and causes of such occurrences. • Predictive analytics aims to determine what is likely to happen in the future. This analysis is based on statistical techniques as well as other more recently developed techniques that fall under the general category of data mining. • Prescriptive analytics recognizes what is going on as well as the likely forecast and makes decisions to achieve the best performance possible.

List and describe three levels or categories of analytics that are most often viewed as sequential and independent, but also occasionally seen as overlapping.

68. • Inventory Optimization • Price Elasticity • Market Basket Analysis • Shopper Insight • Customer Churn Analysis • Channel Analysis • New Store Analysis • Store Layout • Video Analytics

List four possible analytics applications in the retail value chain.

3. False

Major commercial business intelligence (BI) products and services were well established in the early 1970s.

69.

Managing data warehouses requires special methods, including parallel computing and/or Hadoop/Spark. TRUE

18. False

Managing information on operations, customers, internal procedures and employee interactions is the domain of cognitive science.

25.

Many business users in the 1980s referred to their mainframes as "the black hole," because all the information went into it, but little ever came back and ad hoc real-time querying was virtually impossible. TRUE

59.a distinct system that provides storage for data that will be made use of in analysis.

Online transaction processing (OLTP) systems handle a company's routine ongoing business. In contrast, a data warehouse is typically

23.

Organizations using BI systems are typically seeking to ________ the gap between the operational data and strategic objectives has become more pressing. CLOSE D

29.

Relational databases began to be used in the -1980s

15. Intelligent agents

Software monitors referred to as ________ can be placed on a separate server in the network and use event- and process-based approaches to measure and monitor operational processes.

43.

Successful BI is a tool for the information systems department, but is not exposed to the larger organization. -- FLASE

49.

The Google search engine is an example of Big Data in that it has to search and index billions of ________ in fractions of a second for each search. WEB PAGES

27.RIGHT INFORMATION, RIGHT USER, RIGHT TIME, RIGHT PLACE

The competitive imperatives for BI include all of the following EXCEPT

64.

The filing system developed by Google to handle Big Data storage challenges is known as the ________ Distributed File System. HADOOP

40.

The growth in hardware, software, and network capacities has had little impact on modern BI innovations. -TRUE

39.executive information systems

The need for more versatile reporting than what was available in 1980s era ERP systems led to the development of what type of system?

51.

The programing algorithm developed by Google to handle Big Data computational challenges is known as ________. MAPREDUCE

35.

The use of dashboards and data visualizations is seldom effective in identifying issues in organizations, as demonstrated by the Silvaris Corporation Case Study. FALSE

33.

The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball case study, is an example of the effectiveness of prescriptive analytics. TRUE

67.

The user interface of a BI system is often referred to as a(n) ________. DASHBOARD

20.end-user ad hoc reports, queries, and analysis.

The very design that makes an OLTP system efficient for transaction processing makes it inefficient for

61.All a user needs to do is insert the numbers.

Today, many vendors offer diversified tools, some of which are completely preprogrammed (called shells). How are these shells utilized?

28.

Traditional BI systems use a large volume of static data that has been extracted, cleansed, and loaded into a data warehouse to produce reports and analyses. TRUE

8.1. A data warehouse, with its source data Business analytics, a collection of tools for manipulating, mining, and analyzing the data in the data warehouse Business performance management (BPM) for monitoring and analyzing performance . A user interface (e.g., a dashboard)

What are the four major components of a Business Intelligence (BI) system?

30.the more pressing need to close the gap between the operational data and strategic objectives

What has caused the growth of the demand for instant, on-demand access to dispersed information?

53.• The intent of the analysis is to give management the ability to analyze data for insights into the business, and thus provide tactical or operational decision support whereby, for example, line personnel can make quicker and/or more informed decisions.

What is the intent of the analysis of data that is stored in a data warehouse?

5.Google developed and released as an Apache project the Hadoop Distributed File System (HDFS) for storing large amounts of data in a distributed way. • Google developed and released as an Apache project the MapReduce algorithm for pushing Computation to the data, instead of pushing data to a computing node.

What storage system and processing algorithm were developed by Google for Big Data?

63.

What type of analytics seeks to determine what is likely to happen in the future? PREDICTIVE

26.

What type of analytics seeks to recognize what is going on as well as the likely forecast and make decisions to achieve the best performance possible? PRESCRIPTIVE

45.locally concentrated workforces

Which of the following developments is NOT contributing to facilitating growth of decision support and analytics?

6.ATM withdrawal, bank deposit, >sales report, cash register scans

Which of the following is NOT an example of transaction processing?

62.

Which of the following is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies? BI

37.Pure Big Data systems do not involve fault tolerance.

Which of the following statements about Big Data is true?

11.DATABASES, LEGACY SYSTEMS, ENTERPRISE SYSTEMS.

BI applications must be integrated with -

66.

BI represents a bold new paradigm in which the company's business strategy must be aligned to its business intelligence analysis initiatives. FLASE

56.a. Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce. One reason for this is

Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce. One reason for this is --------------------

22.• One approach to real-time BI uses the DW model of traditional BI systems. In this case, products from innovative BI platform providers provide a service-oriented, near-real-time solution that populates the DW much faster than the typical nightly extract/transfer/load (ETL) batch update does. • A second approach, commonly called business activity management (BAM), is adopted by pure play BAM and or hybrid BAM-middleware providers (such as Savvion, Iteration Software, Vitria, webMethods, Quantive, Tibco, or Vineyard Software). It bypasses the DW entirely and uses Web services or other monitoring means to discover key business events. These software monitors (or intelligent agents) can be placed on a separate server in the network or on the transactional application databases themselves, and they can use event- and process-based approaches to proactively and intelligently measure and monitor operational processes.

Business applications can be programmed to act on what real-time BI systems discover. Describe two approaches to the implementation of real-time BI.

1.Solution applications, mobile access, >data monitoring, problem analysis

Business applications have moved from transaction processing and monitoring to other activities. Which of the following is NOT one of those activities?

65.

Business intelligence (BI) is a specific term that describes architectures and tools only. FLASE

38.

Computer applications have moved from transaction processing and monitoring activities to problem analysis and solution applications. --- TRUE

14. False

Computerized support is only used for organizational decisions that are responses to external pressures, not for taking advantage of opportunities.

10.Data Warehouse

A(n) ________ is a major component of a Business Intelligence (BI) system that holds source data.

50.

A(n) ________ is a major component of a Business Intelligence (BI) system that is often browser based and often presents a portal or dashboard. USER INTERFACE

52.

Data generation is a precursor, and is not included in the analytics ecosystem. FLASE

60.

Data warehouses are intended to work with informational data used for online ________ processing systems. ANALYTICAL

48.

Decision support system (DSS) and management information system (MIS) have precise definitions agreed to by practitioners. - FLASE

70.

Demands for instant, on-demand access to dispersed information decrease as firms successfully integrate BI into their operations. FALSE

47.Big Data is data that cannot be stored in a single storage unit. Big Data typically refers to data that is arriving in many different forms, be they structured, unstructured, or in a stream. Major sources of such data are clickstreams from Web sites, postings on social media sites such as Facebook, or data from traffic, sensors, or weather. • A Web search engine such as Google needs to search and index billions of Web pages in order to give you relevant search results in a fraction of a second. Although this is not done in real time, generating an index of all the Web pages on the Internet is not an easy task.

Describe and define Big Data. Why is a search engine a Big Data application?

57.• Reporting/Descriptive Analytics — Includes tools is enabled by and available from the Middleware industry players and unique capabilities offered by focused providers. • Predictive Analytics — a rapidly growing area that includes a variety of statistical packages. • Prescriptive Analytics — Software providers in this category offer modeling tools and algorithms for optimization of operations usually called management science/operations research software.

Describe the three major subsets of the Analytics Focused Software Developers portion of the Analytics Ecosystem.

2.ECOSYSTEM

Different types of players are identified and described in the analytics

9.False

Due to industry consolidation, the analytics ecosystem consists of only a handful of players across several functional areas.

54.true

During the early days of analytics, data was often obtained from the domain experts using manual processes to build mathematical or knowledge-based models. T

44.

Why is data alone worthless? --------- Alone, data is worthless because it does not provide business value. To provide business value, it has to be analyzed.

21.Enterprise Resource Planning (ERP)

With ________, all the data from every corner of the enterprise is collected and integrated into a consistent schema so that every part of the organization has access to the single version of the truth when and where needed.

19.

_______ providers focus on bringing all the data stores into an enterprise-wide platform. MIDDLEWARE

4.Descriptive

________ Analytics help managers understand current events in the organization including causes, trends, and patterns.

7.Data warehouse

________ Providers focus on providing technology and services aimed toward integrating data from multiple sources.

32.

________ analytics help managers make decisions to achieve the best performance in the future. PRESCRIPTIVE

55.

________ analytics help managers understand probable future outcomes. PREDICTIVE

36.business

________ cycle times are now extremely compressed, faster, and more informed across industries.

24.

________ is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies. Business intelligence (BI)