Fill This Form To Receive Instant Help
Fill This Form To Receive Instant Help
Homework answers / question archive / Chapter 11: Business Intelligence and Knowledge Management TRUE/FALSE 1) Data-mining software searches through large amounts of data for meaningful patterns of information
Chapter 11: Business Intelligence and Knowledge Management
TRUE/FALSE
1) Data-mining software searches through large amounts of data for meaningful patterns of information.
2. One objective of data mining is classification, finding whether certain facts fall into predefined groups.
3. One application of data mining is consumer clustering, which refers to the prediction of what each individual accessing a Web site is most likely to be interested in seeing.
4. Mobilcom GmbH, a German company, uses personal tracking systems to identify customers about to switch to a competitor, and approach them with inducements to continue or renew their contract.
5. One application of data mining is trend analysis, which refers to the identification of characteristics of transactions that are most likely to be fraudulent.
6. Loyalty programs such as frequent flier and consumer clubs help organizations amass huge amounts of data about their customers.
7. OLAP applications are powerful tools for shift employees.
8. OLAP is increasingly used by corporations to gain efficiencies.
9. Companies find that the data that they collect directly from consumers provides a full picture of customer needs.
10. By compiling billions of consumer forms and creating surfing models, companies can determine individual consumers’ interests from the sites they visited.
11. Expertise in broad domains can be easily programmed in expert systems.
12. Knowledge management is the attempt by organizations to put procedures and technologies in place to filter and separate the most relevant knowledge.
13. Tacit Systems’ ActiveNet tool “mines” structured data to build a profile of each customer in terms of topics and interests.
14. Consumers continue to post their opinions on products and services on the Web.
15. A key word such as “apple” means one thing to an employee of a hardware or software organization and something completely different to an employee in an agriculture or a supermarket chain.
MULTIPLE CHOICE
1. To make ____ useful, organizations must use software tools to process data from huge databases into meaningful information.
|
a. |
data warehouses |
c. |
decision systems |
|
b. |
databases |
d. |
expert systems |
2. Data warehouses could be regarded as a type of ____, where the data is the ore, and new useful information is the precious find.
|
a. |
vault |
c. |
diamond |
|
b. |
mine |
d. |
wheel |
3. One objective of data mining is ____, the discovering of patterns in data that can lead to reasonable predictions.
|
a. |
seeding |
c. |
forecasting |
|
b. |
producing |
d. |
recovering |
4. In banking, ____ is employed to find profitable customers and patterns of fraud.
|
a. |
resource recovering |
c. |
data exploiting |
|
b. |
information mining |
d. |
data mining |
5. Companies selling mobile phone services face a growing challenge of customer churn (____).
|
a. |
complaints |
c. |
lawsuits |
|
b. |
changing service plans |
d. |
switching to a competitor |
6. To ensure a steady flow of customer data into their ____, companies in almost every industry operate customer loyalty programs similar to the original frequent flier programs.
|
a. |
data dictionaries |
c. |
expert systems |
|
b. |
data warehouses |
d. |
KM systems |
7. Some companies use ____ techniques to try to predict what customers are likely to purchase in the future.
|
a. |
data-mining |
c. |
identity tracking |
|
b. |
CRM |
d. |
expert systems |
8. ____ enables managers to see summaries and ratios of the intersection of any two dimensions.
|
a. |
CRM |
c. |
OLAP |
|
b. |
SCM |
d. |
CAD |
9. OLAP applications are usually installed on a special server that communicates with both the user’s computer and the server or servers that contain a data warehouse or ____.
|
a. |
house databases |
c. |
nondimensional databases |
|
b. |
crossdimensional databases |
d. |
dimensional databases |
10. OLAP might process data from a ____.
|
a. |
non-relational database |
c. |
cross-sectional database |
|
b. |
transportable database |
d. |
transactional database |
11. Since OLAP applications are designed to process large amounts of records and produce summaries, they are usually significantly faster than relational applications such as those using ____.
|
a. |
XML |
c. |
SQL queries |
|
b. |
SQL replies |
d. |
SGML |
12. OLAP applications can process ____ records per second.
|
a. |
10,000 |
c. |
30,000 |
|
b. |
20,000 |
d. |
40,000 |
13. Employees who know very little about programming and report design are discovering that ____ software is becoming easier to use.
|
a. |
BI |
c. |
SGML |
|
b. |
AI |
d. |
2GL |
14. BI software has become so popular in large companies that Microsoft decided to integrate such software into its popular database management system, ____.
|
a. |
SQL Server |
c. |
DB2 |
|
b. |
MySQL |
d. |
DBMS |
15. A major effort of most businesses, especially retail businesses, is to collect ____ about customers.
|
a. |
artificial intelligence |
c. |
personal information |
|
b. |
business intelligence |
d. |
knowledge management parameters |
16. Both data-mining and OLAP software are often integrated into ____ for the purpose of collecting business intelligence about customers.
|
a. |
SCM systems |
c. |
CRM systems |
|
b. |
ERP systems |
d. |
HRM systems |
17. Companies such as ____, Engage Software, and Avenue A | Razorfish, use cookies and spyware to track Web users’ clickstreams.
|
a. |
MultiLock |
c. |
Sun Microsystems |
|
b. |
SuperClick |
d. |
DoubleClick |
18. To make the use of BI tools convenient for executives, companies that develop BI tools create ____ that help the executives to quickly grasp business situations.
|
a. |
options |
c. |
programming languages |
|
b. |
alternatives |
d. |
interfaces |
19. The popular name of an interface for BI tools is ____.
|
a. |
BITools |
c. |
dashboard |
|
b. |
command line |
d. |
GUI |
20. ____ are often designed to quickly present predefined business metrics such as occupancy ratios in hotels and hospitals, or inventory turns in retail.
|
a. |
Toolkits |
c. |
Toolboxes |
|
b. |
Dashboards |
d. |
BITools |
21. The purpose of ____ is mainly to learn where to find information about a given subject.
|
a. |
knowledge management |
c. |
experience management |
|
b. |
knowledge theory |
d. |
intelligence management |
22. Information that can be gleaned from stored data is ____.
|
a. |
knowledge |
c. |
intelligence |
|
b. |
experience |
d. |
wisdom |
23. ____ is the attempt by organizations to put procedures and technologies in place to transfer individual knowledge into databases.
|
a. |
Intelligence management |
c. |
Experience management |
|
b. |
Knowledge management |
d. |
Expertise management |
24. To transfer knowledge into manageable ____, some companies require workers to create reports of their finding.
|
a. |
folders |
c. |
online resources |
|
b. |
dictionaries |
d. |
indexes |
25. To categorize knowledge into manageable data, companies use ____ software.
|
a. |
autoclassification |
c. |
supercategorization |
|
b. |
autocategorization |
d. |
superindexing |
COMPLETION
1. ____________________ is the process of selecting, exploring, and modeling large amounts of data to discover previously unknown relationships that can support decision making.
2. While data has traditionally been used to see whether this or that pattern exists, ____________________ allows you to ask what patterns exist.
3. One objective of data mining is ____________________, the finding of groups of related facts not previously known.
4. DB Intelligent Miner from ____________________ periodically looks for patterns of customer churns, and assigns each customer a score representing the likelihood of canceling the contract.
5. A dynamic ____________________ application responds to commands by composing tables “on the fly.”
6. In ____________________, the raw data is organized in tables that show information in summaries and ratios so that the inquirer does not have to wait for processing raw data.
7. ____________________ applications can easily answer a question such as, “Where are my weakest-performing sales offices?”
8. Intelligent ____________________ allow employees to enter questions in free form or close to free form.
9. BI ____________________ help executives quickly receive metrics, ratios, and trends in mostly graphic format.
10. An organization can learn much about its customers, sellers, and itself by mining data warehouses and using OLAP software, but such techniques still do not satisfy another important challenge: how to manage ____________________.
11. Samuel Johnson, the author of an early English dictionary, said that one type of ____________________ is what we know about a subject, and the other type is knowing where to find information about the subject.
12. Knowledge management attempts to organize knowledge in databases that allow employees easy access to it or that “____________________” specific knowledge to employees based on prespecified needs.
13. The research company IDC argues that almost half of the work that ____________________ do in organizations has already been done, at least partially.
14. While some tools build ____________________ and help employees access them, others put the emphasis on directing employees to other employees who have a certain expertise.
15. Some software companies, such as Tacit Systems Inc., AskMe Corporation, Participate Systems Inc., and Entopia Inc., have developed ____________________, tools that facilitate knowledge sharing through intranets.
16. ____________________ tools help extract useful knowledge from millions of Web documents.
17. ____________________ or automatic taxonomy automates the classification of data into categories for future retrieval.
18. Practically all search engine sites, such as Google and Yahoo!, use ____________________ software, and continue to improve the software to provide more precise and faster responses to queries.
ESSAY
1. What are the objectives of data mining?
2. Discuss the utilization of loyalty programs.
3. What are executive dashboards?
4. Discuss employee knowledge networks.
5. What does autocategorization do?
