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Business Analytics 1St Abdey Solutions Manual

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Solutions Manual for Business

Analytics 1st Edition by Abdey

ISBN: 9781529774108

Solutionstoend-of-chapterexercises

Chapter1: Decision-makingunderuncertainty

Chapter1

Decision-makingunderuncertainty

1.1Exercises

1.1.1Testyourunderstanding

1. Whatismeantby‘uncertainty’?

Solution:

Uncertaintyreferstoalackofknowledge,informationorpredictabilityaboutaparticularsituation, eventoroutcome.Itsignifiesastateofdoubtorambiguitywherethefutureorthetruenatureof somethingisuncertain.Uncertaintycanarisefromvariousfactors,suchasincompletedata, conflictingevidence,complexity,orthepresenceofunpredictablevariables.Itoftenposeschallenges indecision-making,planning,andriskassessmentasithampersourabilitytoaccuratelyforeseeor quantifypotentialoutcomes.Managinguncertaintyinvolvesacknowledgingitspresence,assessing probabilities,consideringalternativescenarios,andadoptingflexibleapproachestoadaptto changingcircumstances.

2. Whatisthedifferencebetween‘dependent’and‘independent’variables?

Solution:

Adependentvariableisthevariablebeingmeasuredorobservedinanexperimentorstudy.Itisthe outcomeorresultinwhichweareinterestedinunderstanding,explainingorpredicting.Examples ofdependentvariablesinbusinessanalyticsinclude:

• behaviouralresponses,suchascustomerawareness,brandperception,knowledge,intentionto purchaseandpreference.

• performancemetrics,suchassalesrevenues,productioncosts,profits,marketshare,cash-flow andshareprice.

Independentvariablesarethosethatimpactthedependentvariable–thinkofitintermsof‘cause andeffect’.Examplesofindependentvariablesinbusinessanalyticsinclude:

• marketingmixvariables,suchasproduct,price,placementandpromotion(the4Ps),which arecontrollable,i.e.areunderthecontrolofthedecision-maker.

• situationalfactors,suchasdemand,competition,economicclimate,politicalclimate,exchange rates,supplychain,regulationsandtechnology,whichareuncontrollable,i.e.arenotunderthe controlofthedecision-maker.

Therelationshipbetweenthedependentandindependentvariablesisoftenexploredthrough statisticalanalysistodeterminewhetherchangesintheindependentvariablecausechangesinthe dependentvariable.Thishelpsestablishcause-and-effectrelationshipsandprovidesinsightsintothe phenomenonunderinvestigation.Understandingthedistinctionbetweendependentand

independentvariablesisfundamentalfordesigningexperiments,conductingresearch,anddrawing meaningfulconclusionsfromdata.

3. Identifyexamplesofreal-worlddependentvariablesforanybusinessproblemofyourchoice.

Solution:

Considerahotel.Managementmaybeinterestedinthefollowingdependentvariables.

• Customersatisfactionscore–thiscouldbemeasuredusingsurveysorfeedbackformswhere customersratetheiroverallsatisfactionwiththehotel,itsservices,staff,amenities,cleanliness, etc.Thesatisfactionscorecanbeanumericalratingoracategoricalmeasure(forexample, rangingfrom‘verysatisfied’to‘verydissatisfied’).

• Revenuepercustomer–thisvariablerepresentstheaverageamountofmoneyacustomer spendsduringtheirstay.Higherrevenuepercustomercanindicatecustomersatisfaction,as satisfiedguestsaremorelikelytouseadditionalservices,suchasroomupgrades,spa treatments,ordiningoptions.

• Customerretentionrate–thismetricindicatesthepercentageofcustomerswhocontinueto stayatthehoteloveraspecificperiodoftime.Itreflectscustomersatisfactionandloyalty,as satisfiedcustomersaremorelikelytoreturninthefuture!

4. ForeachdependentvariableidentifiedinQuestion3,whatarethelikelyindependentvariables? Brieflyjustifyyourchoice.

Solution:

Customersatisfactionscorewouldlikelydependonthefollowing:

• Servicequality.

• Price/valueformoney.

• Foodandbeveragequality.

• Roomcleanliness.

• Location.

• Facilities.

Revenuepercustomerwouldlikelydependonthefollowing:

• Roomtypebooked.

• Lengthofstay.

• Seasonofthebooking(peakvs.off-peak).

• Ancillaryservicesused.

• In-roomdining.

• Purposeofvisit(businessvs.leisure).

Customerretentionratewouldlikelydependonthefollowing:

• Servicequality(notealsoforcustomersatisfactionscore!).

• Price/valueformoney(notealsoforcustomersatisfactionscore!).

• Loyaltyprograms(accruepointsforfreenights,perhaps).

• Specialpackages(thinkconferences,weddingsetc.).

• Brandimage.

• Partnershipwithotherhotelbrands. Notetheabovearenotnecessarilycollectivelyexhaustivelists!

5. Whatismeantbythe‘fourPs’?

Solution:

The‘fourPs’areknownasthemarketingmixvariables:

• Product–whatthebusinessisselling(whichcouldbeatangiblegood,orintangibleservice).

• Price–whatpricetosellatandwhethertoofferadiscount.

• Placement–theprovisionofcustomeraccessandconvenience.

• Promotion–thechoiceofmarketingcommunications.

6. ExplaintheDIKWpyramid.

Solution:

Thepyramidmodelstheconversionof(i)data,into(ii)information,fromwhichwegain(iii) knowledge,leadingtoourenlightenmentwith(iv)wisdom.Thepyramidillustratestheseas hierarchicalrelationships.

7. Whatisamodel?

Solution:

Amodelisadeliberatesimplificationofreality.

Agoodmodelretainsthemostimportantfeaturesofrealityandignoreslessimportantdetails. Immediatelyweseethatwefaceatrade-off.Thebenefitofamodelisthatwesimplifythecomplex realworld.Thecostofamodelisthatbysimplifyingrealityweengineeradeparturefromreality. Broadlyspeaking,wewouldbehappyifthebenefitexceededthecost,i.e.ifthesimplicitymadeit easierforustounderstandandanalysetherealworldwhileincurringonlyaminimaldeparture fromreality.

8. ForacityotherthanLondonwithametrosystem,lookattheofficialmapofthenetwork.Critique themap,notinganypossibleimprovementsyouwouldrecommendaremade.

Solution:

Possibleimprovementsmayrelateto:

• geographicaccuracy

• clarityofpresentation

• easeofnavigation.

9. AfriendofyoursisacontestantontheMontyHallgameshow.Yourfriendtellsyou‘Nomatter what,Iwillnotswitchdoor’.Wouldyousupportyourfriend’sdecision(tomaintainyour friendship!)orwouldyouadviseotherwise?

Solution:

Attheriskofjeopardisingyourfriendship,youshould(politely)pointoutthatprobabilisticallyitis optimaltoswitchdoor.Ofcourse,youneedtobalancethiswiththepossibilitythattheoriginal doorchosenisthecorrectdoor,inwhichcaseyoumayneverbeforgivenifyourfriendfollowedyour advice!

10. SupposetheproducersoftheMontyHallshowchangedtheformatofthegame.Insteadofthere beingthreedoors,therearenow n> 3doors.Thecontestantchoosesadoor.Monty(whocontinues toknowwherethecaris)opens n 2doors,leavingthecontestant’soriginaldoorandoneother doorunopened.

(a) Intermsof‘toswitch,ornottoswitch?’whatwouldyourecommendistheoptimalstrategy andwhy?

(b) Doyousupporttheproducersinincreasingthenumberofdoorsto n> 3?Justifyyourview.

Solution:

(a) With n> 3doors,theprobabilitythatthecorrectdoorischosenatthestartbythecontestant is1/n.Hencetheprobabilitythatthecorrectdoorisoneoftheother n 1doorsis(n 1)/n, andclearly:

1 n < n 1 n

OnceMontyopens n 2doors(excludingthecontestant’soriginalchoice,ofcourse),the probabilityofwinningbyswitchingis(n 1)/n sincethisamountofprobabilityis‘inherited’ bytheonedoorMontychoosesnottoopen.Decision-makingunderuncertaintyrequiresusto ‘playtotheprobabilities’,henceitisoptimaltoswitch. Chapter4solvestheMontyHallproblemmoreformallyusingBayes’theorem.

(b) Ifcontestantsaresavvyenoughtounderstandtheprobabilisticargumentforswitchingdoor eachtime,thenwewouldexpectallsuchcontestantstoswitch.Thiswouldmeanthat(in percentageterms)thewinrateofcontestants(andhencethelossrateoftheshow’sproducers) inthelongrunwouldbe: n 1 n × 100%

As n increases,thisworsensthesituationfortheshow’sproducers(moreprizesarewon,which costsmoney!)soincreasingthenumberofdoorswouldseemtobeabadidea.Also,television showsaremeanttobeforentertainment,sowith n =3doorsthismaximisestheextentof unpredictabilityaboutwhetherthecontestantwouldwin,whichinturnwouldlikelybe optimalforaudienceviewingfigures.Suspenseismoreexciting!

1.1.2Casestudycorner

Foracompanyorindustryofyourchoice,formulateapossiblequantitativebusinessproblemwhich couldbeanalysed.Inparticular,thinkaboutthefollowing.

Whatisthespecificbusinessquestiontobeaddressed?

Whatarethebusinessobjectivesoftheanalysis?

Whatarethedependentandindependentvariables?

Arethereanychallengesincollectingrelevantdatatoanalysetheproblem?

Arethereanyuncertaintiesinvolvedwiththebusinessproblem?Ifso,whatarethey?

Solution:

Formulatingaproblemsuitableforquantitativeanalysisbeginswithposingaquestion.Supposethe company’squestionis:‘Whatpriceshouldwesetforournewproduct?’

Whilewemayhavepreviouslyreliedongutinstinctdecisions,wenowaimtoapproachthisquestion usingamorequantitativeapproach.Toanswerit,wemustidentifythefactorswhichmayinfluencethe pricingdecision.Thechallengeliesinthelackofknowledgeregardingconsumers’willingnesstopay. However,wewouldlikelyhavedataonmanufacturingcostsandmarketingexpensesforourproduct(or atleastreasonableestimates).

Marketresearchcouldbeconductedtoexaminethecurrentmarketlandscapeandthepricingstrategies adoptedbycompetitorsforsimilarproducts.Suchresearchencompassesvariousapproaches,eachwith itsownsetofassumptionsanduncertainties.Byanalysingthismarketresearch,wecouldestimatewhat consumersmightbewillingtopayforasimilarproductanddevelopapricingstructureaccordingly. However,thereareadditionaluncertaintiesthatneedtobeconsidered.Forinstance:

Willtherestillbedemandforourproductwhenitislaunched?

Willconsumershavethefinancialmeanstopurchaseitatthattime?(Iftherewasarecession, consumersmayreducetheirdiscretionaryspending.)

Evenifwepriceourproductlowerthanourcompetitor(s),willconsumersremainloyaltotheir familiarbrandandrefrainfrompurchasingourproduct?

Toaddresstheseuncertainties,wecouldconductsurveystocollectdataonbrandloyalty,make predictionsregardingconsumers’futurewillingnesstopay,andassumethatdemandforourproductwill bestrongatlaunch.Bygatheringrelevantdatarelatedtotheseuncertaintiesandincorporatinglogical assumptions,wecancreatedata-drivenmodelstopredicttheoutcomesofourproposedpricing structures.

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