CIS Exam1 Questions and Answers
Ch. 1
1. Fact
2. Info Age
3. 3 ex of power of bus/tech
4. Internet of things(IoT)
5. Machine-to-Machine (M2M)
6. 4 Core Drivers of Info Age
7. data analytics ex 4 (hint: analysis)
8. capital budget planning has - Answer-1.confirmation/validation of event or obj
2. present time, infinite quantities of facts are widely available 2 any1 w computer
3. amazon(not tech but bus; books), netflix(not tech but bus; stream content) zappos(not tech, bus;
shoes)
4. wrld where devices or things can collct & share data w/o human intervention
5. device connect 2 other devices
6. Data, info, bus intelligence, knowledge
7. behavioral analysis, social M, text A, Web A
8. no cust facing process
,Ch. 1
1. Data ex 4
2. structured data ex 6 SWblFCsPofsAcc data
3. unstructured data; 2 ex & defs SiPVSmTmVm
4. big data; snapshot
5. 4 characteristics of big data; def 1, def 2, def 3, def 4
6. machin generated unstructured data ex 4 SAwRi - Answer-1. raw facts that describe event/obj (order
date, quantity sold, cust #, product order #)
2. stored in traditional syst (relational database/spreadsheet)defined length & includes cust
address//sensor data, weblog d, financial d, click-stream d, point of scale d, accountin d
3. not defined & no specified format//machine-generated: machine w/o hum intervention//human-
generated: data humans w comput generate//satellite images, photographic d, video d, social media d,
text msg, voice mail d
4. collect of lrge, complex data sets(structure&unstructured) cannot b analyzed w traditional database
methods/tools//view of data @ point of time
5. Variety: diff forms of unstructured/structured data; veracity: uncertainty of data w bias, noise,
abnormalities; volume: scale of data; velocity: analysis of streamin data as it travels around internet
6. satellite images, atmpsh weather D, radar image
Ch.1
1. information ex 1
2. report
3. static report
4. dynamic report
5. bus intelligence, 5 ex sources & 1 ex
6. analytics (science)
7. bus analytics (science, insight)
,8. descriptive analytics
9. predictive analytics
10. prescriptive analytics
11. bus intelligence ex 8 BCEdPrSmSTW - Answer-1. data converted into meaningful/useful context
(Worst sellin prod)
2. doc w data organized in tble, matrix, graph 4 ez comprehend
3. data not change
4. change automatically durin creation
5. info collect from many sources that analyze patterns, trends, relations 4 decison makin (suppliers,
cust, competitors, partners, industries) lowest sales p/week compared w interest rates
6. science of fact-based decision makin
7. scientific proc of transforming data into insight 4 better deci makin
8. tech describe part performance/hist
9. tech extract info fr data & use 2 predict future trends/ID behavoral patterns
10. tech create models includ best decis 2 make or course of action 2 take
11. behavioral anal, correlation A, exploratory data A, pattern recognition A, Social M A, speech A, text
A, web A
Ch. 1
1. knowledge ex 2
2. knowledge worker
3. Common Departments working independently 6
4. " " workin interdependently 2 make bus decisions 6
5. Environmental scanning
6. what will you find in operations management department? - Answer-1. skills, experience, & expertise
w info & intelligence that create intellectual resources (not fire bc know circumstance; create daily
special based on 1st 2 expire)
, 2. individ valued 4 ability 2 interpret/analyz info
3. accounting: records, measures & reports monetary transacts//finance: tracks finance issue includ $,
bankin, credit, invest, assets// HR: maintain policies, plains, procedures 4 effectiv manage of
employe//marketin: support sales by pricin, plannin, promotin gds/services//Operation management:
manages process of convertin or transform resources nto gds/services//sales: perform sellin gds/serv
4. account: transactional D, purchasing D, payroll D, tax D// finance: investment D, monetary D,
reporting D// HR: employee D, promotion D, vaca D// marketin: promote D, sales D, advertis D// Op
Manage: manufactu D, distribute D, product D// Sales: potential cust D, sales report D, commission D,
cust support D
5. rep goes 2 diff place & record inventory/products 2 get bus intelligence
6. -order inventory
-create production schedule
-manufacture gds
Ch. 1
1. goods def & ex 4
2. services
3. production
4. systems thinking: Input, process, output=feedback
5. Management information systems(MIS)
MIS ROLES IN ORG
6. Chief Info Officer(CIO)
7. Chief Data Officer (CDO)
8. Chief Technology Officer(CTO)
9. Chief Security Officer (CSO)
10. chief privacy officer (CPO)
11. Chief knowledge officer (CKO) - Answer-1. items/products that cust buy 2 satisfy wants/need;
clothes, phone, grocer, clothes, cars
Ch. 1
1. Fact
2. Info Age
3. 3 ex of power of bus/tech
4. Internet of things(IoT)
5. Machine-to-Machine (M2M)
6. 4 Core Drivers of Info Age
7. data analytics ex 4 (hint: analysis)
8. capital budget planning has - Answer-1.confirmation/validation of event or obj
2. present time, infinite quantities of facts are widely available 2 any1 w computer
3. amazon(not tech but bus; books), netflix(not tech but bus; stream content) zappos(not tech, bus;
shoes)
4. wrld where devices or things can collct & share data w/o human intervention
5. device connect 2 other devices
6. Data, info, bus intelligence, knowledge
7. behavioral analysis, social M, text A, Web A
8. no cust facing process
,Ch. 1
1. Data ex 4
2. structured data ex 6 SWblFCsPofsAcc data
3. unstructured data; 2 ex & defs SiPVSmTmVm
4. big data; snapshot
5. 4 characteristics of big data; def 1, def 2, def 3, def 4
6. machin generated unstructured data ex 4 SAwRi - Answer-1. raw facts that describe event/obj (order
date, quantity sold, cust #, product order #)
2. stored in traditional syst (relational database/spreadsheet)defined length & includes cust
address//sensor data, weblog d, financial d, click-stream d, point of scale d, accountin d
3. not defined & no specified format//machine-generated: machine w/o hum intervention//human-
generated: data humans w comput generate//satellite images, photographic d, video d, social media d,
text msg, voice mail d
4. collect of lrge, complex data sets(structure&unstructured) cannot b analyzed w traditional database
methods/tools//view of data @ point of time
5. Variety: diff forms of unstructured/structured data; veracity: uncertainty of data w bias, noise,
abnormalities; volume: scale of data; velocity: analysis of streamin data as it travels around internet
6. satellite images, atmpsh weather D, radar image
Ch.1
1. information ex 1
2. report
3. static report
4. dynamic report
5. bus intelligence, 5 ex sources & 1 ex
6. analytics (science)
7. bus analytics (science, insight)
,8. descriptive analytics
9. predictive analytics
10. prescriptive analytics
11. bus intelligence ex 8 BCEdPrSmSTW - Answer-1. data converted into meaningful/useful context
(Worst sellin prod)
2. doc w data organized in tble, matrix, graph 4 ez comprehend
3. data not change
4. change automatically durin creation
5. info collect from many sources that analyze patterns, trends, relations 4 decison makin (suppliers,
cust, competitors, partners, industries) lowest sales p/week compared w interest rates
6. science of fact-based decision makin
7. scientific proc of transforming data into insight 4 better deci makin
8. tech describe part performance/hist
9. tech extract info fr data & use 2 predict future trends/ID behavoral patterns
10. tech create models includ best decis 2 make or course of action 2 take
11. behavioral anal, correlation A, exploratory data A, pattern recognition A, Social M A, speech A, text
A, web A
Ch. 1
1. knowledge ex 2
2. knowledge worker
3. Common Departments working independently 6
4. " " workin interdependently 2 make bus decisions 6
5. Environmental scanning
6. what will you find in operations management department? - Answer-1. skills, experience, & expertise
w info & intelligence that create intellectual resources (not fire bc know circumstance; create daily
special based on 1st 2 expire)
, 2. individ valued 4 ability 2 interpret/analyz info
3. accounting: records, measures & reports monetary transacts//finance: tracks finance issue includ $,
bankin, credit, invest, assets// HR: maintain policies, plains, procedures 4 effectiv manage of
employe//marketin: support sales by pricin, plannin, promotin gds/services//Operation management:
manages process of convertin or transform resources nto gds/services//sales: perform sellin gds/serv
4. account: transactional D, purchasing D, payroll D, tax D// finance: investment D, monetary D,
reporting D// HR: employee D, promotion D, vaca D// marketin: promote D, sales D, advertis D// Op
Manage: manufactu D, distribute D, product D// Sales: potential cust D, sales report D, commission D,
cust support D
5. rep goes 2 diff place & record inventory/products 2 get bus intelligence
6. -order inventory
-create production schedule
-manufacture gds
Ch. 1
1. goods def & ex 4
2. services
3. production
4. systems thinking: Input, process, output=feedback
5. Management information systems(MIS)
MIS ROLES IN ORG
6. Chief Info Officer(CIO)
7. Chief Data Officer (CDO)
8. Chief Technology Officer(CTO)
9. Chief Security Officer (CSO)
10. chief privacy officer (CPO)
11. Chief knowledge officer (CKO) - Answer-1. items/products that cust buy 2 satisfy wants/need;
clothes, phone, grocer, clothes, cars
