TEST BANK for Loose Leaf Business Driven Infor
3 3 3 3 3 3 3
mation Systems 9th Edition by Paige Baltzan & A
3 3 3 3 3 3 3 3
my Phillips 3
COMPLETE CHAPTER| A+ GRADE GUARANTEED AL
3 3 3 3 3
L ANSWERS AT THE BACK OF THE CHAPTER
3 3 3 3 3 3 3
13|3P3 a3g3e
, TRUE/FALSE3-3Write3'T'3if3the3statement3is3true3and3'F'3if3the3statement3is3false.
1) Companies3today3are3successful3when3they3combine3the3power3of3the3information3age3with3traditio
nal3business3methods.
⊚3 true
⊚3 false
2) Diagnostic3analytics3is3information3collected3from3multiple3sources3such3as3suppliers,3customers,3co
mpetitors,3partners,3and3industries3that3analyzes3patterns,3trends,3and3relationships3for3strategic3decision3
making.
⊚3 true
⊚3 false
3) Business3intelligence3is3information3collected3from3multiple3sources3such3as3suppliers,3customers,3co
mpetitors,3partners,3and3industries3that3analyzes3patterns,3trends,3and3relationships3for3strategic3decision3
making.
⊚3 true
⊚3 false
4) The3information3age3is3a3time3infinite3quantities3of3facts3are3widely3available3to3anyone3who3can3us
e3a3computer.
⊚3 true
⊚3 false
5) Top3managers3use3bits3to3define3the3future3of3the3business,3analyzing3markets,3industries3and3economi
es3to3determine3the3strategic3direction3the3company3must3follow3to3remain3unprofitable.
⊚3 true
⊚3 false
23|3P3 a3g3e
,6) A3variable3is3a3business3intelligence3characteristic3that3stands3for3a3value3that3cannot3change3over3time.
⊚3 true
⊚3 false
7) A3fact3is3the3confirmation3or3validation3of3an3event3or3object.3In3the3past,3people3primarily3learned3fa
cts3from3books.
⊚3 true
⊚3 false
8) Zappos3primary3business3focus3is3to3sell3books3and3competitive3intelligence.
⊚3 true
⊚3 false
9) Order3date,3amount3sold,3and3customer3number3are3all3forms3of3data.
⊚3 true
⊚3 false
10) Choosing3not3to3fire3a3sales3representative3who3is3underperforming3while3knowing3that3t
he3representative3is3experiencing3family3problems3is3a3form3of3knowledge.
⊚3 true
⊚3 false
11) Information 3is3data3converted3into3a3meaningful3and3useful3context.3The3truth3about3information
3is 3that3its 3value3is 3only3as 3good3as 3the3people3who3use3it. 3People3using3the3same3information3can3
make3different3decisions3depending3on3how3they3interpret3or3analyze3the3information.
⊚3 true
⊚3 false
33|3P3 a3g3e
, 12) The3Internet 3of3Things3(IoT)3is3a3world3where3interconnected,3Internet-enabled3devices3or
―things‖3can3collect3and3share3data3without3human3intervention.
⊚3 true
⊚3 false
13) Machine-to-machine3(M2M)3refers3to3devices3that3connect3directly3to3other3devices.
⊚3 true
⊚3 false
14) The3Internet 3of3Things3(IoT)3refers3to3devices3that3connect3directly3to3other3devices.
⊚3 true
⊚3 false
15) Predictive3analytics3extracts3information3from3data3and3uses3it3to3predict3future3trends3and3identi
fy3behavioral3patterns.
⊚3 true
⊚3 false
16) Predictive3analytics3is3a3world3where3interconnected,3Internet-enabled3devices3or3―things‖3can3collect
and3share3data3without3human3intervention.
⊚3 true
⊚3 false
17) Top3managers3use3predictive3analytics3to3define3the3future3of3the3business,3analyzing3markets,3ind
ustries,3and3economies3to3determine3the3strategic3direction3the3company3must3follow3to3remain3profita
ble.3Tony3will3set3the3strategic3direction3for3his3firm,3which3might3include3introducing3new3flavors3of3
potato3chips3or3sports3drinks3as3new3product3lines3or3schools3and3hospitals3as3new3market3segments.
⊚3 true
43|3P3 a3g3e
3 3 3 3 3 3 3
mation Systems 9th Edition by Paige Baltzan & A
3 3 3 3 3 3 3 3
my Phillips 3
COMPLETE CHAPTER| A+ GRADE GUARANTEED AL
3 3 3 3 3
L ANSWERS AT THE BACK OF THE CHAPTER
3 3 3 3 3 3 3
13|3P3 a3g3e
, TRUE/FALSE3-3Write3'T'3if3the3statement3is3true3and3'F'3if3the3statement3is3false.
1) Companies3today3are3successful3when3they3combine3the3power3of3the3information3age3with3traditio
nal3business3methods.
⊚3 true
⊚3 false
2) Diagnostic3analytics3is3information3collected3from3multiple3sources3such3as3suppliers,3customers,3co
mpetitors,3partners,3and3industries3that3analyzes3patterns,3trends,3and3relationships3for3strategic3decision3
making.
⊚3 true
⊚3 false
3) Business3intelligence3is3information3collected3from3multiple3sources3such3as3suppliers,3customers,3co
mpetitors,3partners,3and3industries3that3analyzes3patterns,3trends,3and3relationships3for3strategic3decision3
making.
⊚3 true
⊚3 false
4) The3information3age3is3a3time3infinite3quantities3of3facts3are3widely3available3to3anyone3who3can3us
e3a3computer.
⊚3 true
⊚3 false
5) Top3managers3use3bits3to3define3the3future3of3the3business,3analyzing3markets,3industries3and3economi
es3to3determine3the3strategic3direction3the3company3must3follow3to3remain3unprofitable.
⊚3 true
⊚3 false
23|3P3 a3g3e
,6) A3variable3is3a3business3intelligence3characteristic3that3stands3for3a3value3that3cannot3change3over3time.
⊚3 true
⊚3 false
7) A3fact3is3the3confirmation3or3validation3of3an3event3or3object.3In3the3past,3people3primarily3learned3fa
cts3from3books.
⊚3 true
⊚3 false
8) Zappos3primary3business3focus3is3to3sell3books3and3competitive3intelligence.
⊚3 true
⊚3 false
9) Order3date,3amount3sold,3and3customer3number3are3all3forms3of3data.
⊚3 true
⊚3 false
10) Choosing3not3to3fire3a3sales3representative3who3is3underperforming3while3knowing3that3t
he3representative3is3experiencing3family3problems3is3a3form3of3knowledge.
⊚3 true
⊚3 false
11) Information 3is3data3converted3into3a3meaningful3and3useful3context.3The3truth3about3information
3is 3that3its 3value3is 3only3as 3good3as 3the3people3who3use3it. 3People3using3the3same3information3can3
make3different3decisions3depending3on3how3they3interpret3or3analyze3the3information.
⊚3 true
⊚3 false
33|3P3 a3g3e
, 12) The3Internet 3of3Things3(IoT)3is3a3world3where3interconnected,3Internet-enabled3devices3or
―things‖3can3collect3and3share3data3without3human3intervention.
⊚3 true
⊚3 false
13) Machine-to-machine3(M2M)3refers3to3devices3that3connect3directly3to3other3devices.
⊚3 true
⊚3 false
14) The3Internet 3of3Things3(IoT)3refers3to3devices3that3connect3directly3to3other3devices.
⊚3 true
⊚3 false
15) Predictive3analytics3extracts3information3from3data3and3uses3it3to3predict3future3trends3and3identi
fy3behavioral3patterns.
⊚3 true
⊚3 false
16) Predictive3analytics3is3a3world3where3interconnected,3Internet-enabled3devices3or3―things‖3can3collect
and3share3data3without3human3intervention.
⊚3 true
⊚3 false
17) Top3managers3use3predictive3analytics3to3define3the3future3of3the3business,3analyzing3markets,3ind
ustries,3and3economies3to3determine3the3strategic3direction3the3company3must3follow3to3remain3profita
ble.3Tony3will3set3the3strategic3direction3for3his3firm,3which3might3include3introducing3new3flavors3of3
potato3chips3or3sports3drinks3as3new3product3lines3or3schools3and3hospitals3as3new3market3segments.
⊚3 true
43|3P3 a3g3e
