1) The document discusses a data analytics simulation to make strategic decisions for a company called Blue to improve its market performance over several years. 2) Key decisions analyzed included new product development, pricing strategies, production levels, marketing channel spending, and customer segmentation. These decisions initially led to increased market share and profits but then declines before rebounding. 3) Descriptive analytics of Blue's past data on metrics like market share, growth, and profits were used to inform the strategic decisions tested in the simulation for the future. Both successes and challenges of using a data-driven decision making system are examined.

1. Data analytics simulation: strategic decision making
Introduction:
I have givenmybestefforttoexplore andfindoutthe pastdata about blue’sperformance.Ilookedat
the previoussetandtriedto explore everythingandrelate withthe case.Ialsotriedto make new
businessdecisionforblues.Ilookedafterthe previousmarketshare,marketgrowthandprofitabilityof
previousyearof 2015 to 2018. I have spenttime well because Ihave triedsomanytimeswithputting
differentdataandcheckingthe actual result.Igained new experience fromanalyzingdata,itwasfun
playingwithdata.The productinnovationandprocessinnovationcancreate avital role inthe market by
increasingthe demand,marketshare,andprofitability.The unitof production,precising,target
customer,advertisingall of those affectedthe marketeachyear.
On the above the decisionhistoryandprofitablyisshowninTable 1and 2. For the nextyear2019 the
profitabilityincreasedtremendously($90,499,999) andthe revenue alsoincreased,anditbecame
$36,000,000. But whenI filterthe dataforthe secondyearthe profitabilitydecreased($57,675,888) and
againsame in the nextyear,butin the year2022 I appliedsome new strategiesandthenthe profit
startedincreasing,Ichangedthe marketsegment andinvestedmore inthe digital adsthenprofit
startedincreasingfromthe year2022, andthe cumulative profitcame $318M at the endof the analysis.
MainlyI have focusedonthe productionperunit $60m from 2019 anddecreasedthe price $6.00 from
2019 (shownintable 1) and it increasedthe marketshare,growthaswell asthe profitability.Ialsofilter
the marketsegmentandproductfeature andpositioningwhichis‘’pods’’andodor‘’elimination’’. ButI
keptthe mediaandchannel expandsame inyear2019, so that it doesnotexceedthe limit.
To improve the conditionof Blue inthe marketplace Ihadtobring some new strategysothat the
marketshare and profitincrease.First,the new productinnovation(podsandodorelimination).Forthe
newproductthe customersatisfactionbecame high.Onthe other hand, the price alsoplayedavital
Table: 1 Table: 2

2. role,as Blue innovate new productaswell asreducestheirprice,sothe demandbecame high.Some of
the customercommentsisshownbelow aboutBluesaftertheirproductinnovation(Table:3,4).
I decreasedthe price.Itwas$7.00 in2018 and the new pricingstrategieswas$6.00, shownintable 1.
The market share became highwhenthe price wasbeingdecreased.The previousmarketshare in2018
was 17.0% and afterdecreasingthe price the marketshare in2022 became 17.8%. shownbelow:
Withincreasingthe unitof production,we adjusted the fixedcostandvariable costandthendecreased
the price.Some of the customerisalsosatisfiedwiththe new Bluesprice andproduct.Some of the
customercommentsonthe price is givenbelow.
The forecastingdatawas basedonpreviousyearsDemand,Sales,Revenue,Total CostsandOperating
Profit.Fromthe year 2018 the forecastingdemandwas 32,158,422 and the overall saleswas Average:
Table: 3 Table: 4
Market share in 2022 Market share in 2018

3. 29,423,676, so Bluescouldfulfill the demandsbecausethere wassome gapinthe market.So,we
increasedthe productionperunitsothatwe couldmeetthe demandwiththe salesandincrease our
profit,andinthe nextyearwithincreasingthe productionthe profitbecame higherthanthe previous
year2018. For producingtoomuch the marketgot affectedinthe verynextyear,the profitmargin
starteddecreasingbutonthe other handif we usedto produce lessthenwe couldnotable to fulfillthe
demand. The forecastingtoolsisshownbelow.
In thisanalysis formulationplayedanimportantrole because withthe formulationstrategywe could
improve the conditionof the Bluesdemandandincreasedcumulativeprofit.Withthe strategy
formulationwe developedthe productwithpodsandodoreliminator whichismostmodernoptionand
mostconvenientpremium. We gotprofitinthe nextyear2019 for the new formulationstrategy,but
fromthe nextyearthe marketshare and profitabilitystarteddecreasingbecause of the highvariable
cost. We can see thatthe cost of Podsis15% more than the otherpowderandliquid. We can see that
the cost of Podsis15% more than the otherpowderandliquid.Because of increasingthe variablecost
the productioncostbecame highand profitlevel becamelow.
As shownbefore thatwe came up withproductdevelopment,sowe hadto selectnew feature and
positioningforBlues.We selectedpodsandodoreliminatorwhichismore modernandcan attract new
generationof people.Fromthe case we can see that “Bluescustomersometimesevenfeltthatliquid
was toomodernfor theirtastes”sowe came up withordereliminator.Because of the new feature
some of the customerbecame happywiththe new scentof Blues.Some customerperceptionaboutthe
newproductis shown
From the case we can see thatBluesusedto focusonall average channelsandforthat the growthand
prifitabilitywere increasingslowly.Butwe made some changesinourstrategydecisionmaking,we
Table: 5

4. focusedonthe digital adsand printmediamore because withthe digital adsandprintmediawe can
attract a lotof customerbecause mostof the people inthisgenerationdon’twatchmore Tvor listento
radio.As ourcustomersperceptionaboutourproduct was tradutional sowe focusedonthe new
productdevelopmentaswell asselectedthe digital Adsmore.Forex,we cansee turbofocusedonthe
digital mediamore andtheirmarketshare andprofitabilityissohigh.The table isshownbelow:
The channel spendingisone of the improtanttoolshere.We investedmore inthe digital Adsaccording
to our newstrateg,whichwouldcostmore.Buton the other handwe investedlessITV andRadioas
mostof the people inthiseradon’twatch more tv or listentoradio.So,we couldbalance the fixedcost
by givinglesspromotioninthose area.Total investmentisshownintable 6.
Before describingthe publicreactionIwantti sgare some customerscommentsonblue,givenbelow,
We can see some of our customerscommentsonBlueswhichistotallynegetative,aswe know that
wordof mouthisan improtantfree advertishment.We cansee thatcustomerswere unhappywiththe
product.Theyhad issueswiththe packet,scent,qualityandthe container.So,withthe product
inniovationwe developedthe Bluesquality.Bluescame outwithnew Podsandodoreliminatorand
latercustomerbecame happywiththe product( some goodcustomersreview isshownabove).
We didthe descriptive analytics onBluesperformance inthe market.Descriptiveanalysismeans
priminarystagesof data processingthathelpstotake decisioninfuture.Sowe hadall the background
historical dataaboutblues(marketshare,marketgrowth,profitability, demandandsoon).So,withthe
helpof those previousdatasetwe make some strategicdecisionforthe future.
Before startingthe analysisonBlueswe figuredoutwhatisproproblem, how the problemisoccuringis
the marketand whythisthisis happening.Sowe came outwiththe resultthatthe problemwasinside
the managementsystemaswell asinthe market.Fromthe case we can see that,theylackedinIT,
database managementdecisionmakingsystemanddatabasedexecutive.Someproblemwaswiththe
productand customersatisfactionwasnotgood.So withthe new expertCEOwe established
Table: 6

5. quantititavve databaseddecisionmakingsystemanduseddataandanalyticsfordecisionmaking. We
solvedthe problemwiththe marketbyintroducingnew prodectmodel.
Thistypes of dectriptive analytics issoimprotantforbanlacingwiththe new Tech. Usingthe previous
historical datawe can take decisionforthe busines,we caneasilypredictthe condiotionof the market
infuture.Data and analyticsforthe decisionmakingisimprotantforanycompany.Withthe analytic
directionandexpertdatadrivenexecutive we candevelopthe conditionof the company.
We foundsome of the disadvantagesof databasedmanagementsystem.If we follow the case we can
see that theylackinepmloymenttraininganddatadeivenexecutive.Sopropertrainingmightbe a
probleminthismanagementsystem.The costof data conversionandtrainingof technical willbe
increase.One of the maindownside Ifoundisthathiringperfecttechnical staff forthe rightposition.
Otherthanthose downsidethe datadrivenmanagementsystemissoimprotantforthe developmentof
the company.
Conclusion:
So,the simulationwasbasedonadescriptive analyticswherewe made decisionforthe nextfour
months.Forthe veryfirstmonthwe gaineda huge marketgrowthand profitabilitybecause of
Quantitative Databaseddecisionmakingwiththe helpof expertdatadeivenexecutive.We came up
withthe newproductdevelopmentthatsatisfiedsome customersneedsandoursalesbecame high
fromthe year2019. We also made changesinproductfeature andpostioningwiththe helpof
formulation. Focusingonthe digital Adsplayedavital role.Butfromthe nextyear2020 the growthand
profitmarginstarteddecreasingbecause of some managementdecisionfailure,butlateron itincreases
gradually.