data in the streaming music industry
TRANSCRIPT
DATA IN the
STREAMING MUSIC INDUSTRY
LEGARFFFrédéricBOUNLéa
JOLYAugustinSOUFFEZMaxence
LYKJordanDAVOISEFlorian
DATABASE FOR DIRECT MARKETING & E-CRM
MUSICAL INDUSTRY DECLINE ? INTERNET IS TO BLAME ?
INTRODUCTION
What the« MusicalIndustry »is ? Internethasmodified themusicalconsumtionmodes
Utilisationofdata
HOW DATA ARE USED IN THE MUSICAL STREAMING INDUSTRY ?
1 2
Data in the streaming music industry
I. MARKET ANALYSIS
a. Keydatesb. GeneralMarketc. Mainactors
II. DATAS IN THE STREAMING MUSIC INDUSTRY
a. Consumer/Brandsneedsb. Technicalanalysisc. Newservices
III. NEW TENDENCIES
a. MusicalMapb. Emergingactorsc. Emotionalstreamingd. VirtualReality
KEY DATESMARKET ANALYSIS
1993:Thesevere TireDamageandtheRollingstones
1995:Creation ofRealAudio compressionsystem
2001:Launched ofRhapsody
2003:Creation ofMyspace
2005:Creation ofYoutube
2006:Creation ofDeezer
2007:Creation ofSoundcloud
2008:Creation ofSpotify
2014: Thetotalmusicalmarket valueis 14,965billions$
MusicIncomes repartition recorded in2014(sourceIFPI)
Numerical
Physical
Derivative rights
MARKET ANALYSIS GENERAL MARKET
Which means 6.85billions$digitalmusicrevenuein2014
Within this (sourceIFPI):- Downloading(52%)- Mobile(3%)- Others (12%)- Streaming(33%) 2,26billions$
1,6billions$camesdirectly from subscritions
MARKET ANALYSIS GENERAL MARKET
• Suscribing tostreamingserviceswas in2014themost increasing sourceofincomes.(+39%between 2014&2015)
• In5years these hasbeenmultiply by6
• Thisconstantevolution lead,forthemusicalstreaming,torepresent 23%oftheworldwidenumerical revenuin2014
• Oneofthemost importantfactorwas theassociationwith thetelecom operators
MARKET ANALYSIS GENERAL MARKET
48%onPC 42%onsmartphones 10%ontablets
• Spotify,Souncloud anddeezerarethethree bigest actors ofthis industry
• Spotify owned half ofthemarket in2014.
MARKET ANALYSIS MAIN ACTORS
Data in the streaming music industry
a. CONSUMER / Brand NEEDS
b. Technical analysis
c. NEW SERVICES
CREATEPLAYLISTS
CONSUMERNEEDSTENDTOEVOLVE
PRIMARY NEEDS
CONSUMER NEEDS
LISTENMUSIC SHAREMUSIC
EVERYSOUNDSLISTENED
EVERYPLAYLISTSCREATED
PEOPLEYOUFOLLOW
ALLTHEMUSICYOUSHARE
USERS GENERATE MANY TERABYTES OF DATA EVERY DAY :
RESEARCH,DISCOVER,BROWSE
CONSUMER NEEDS
• Specialistindataanalysisformusicindustry :produceafullportraitofconsumersregardingpersonalityandtastes
COLLECT DATA FROM MUSICAL PLATFORMS AND SOCIAL MEDIA :
• TrendsonSocialMedias:provide fullandpreciseanalysis
• Variouscriterias :musicalstyle,popularity ofanartist,placeswhereartistshavebeenproduced
EXEMPLES OF POWERFULL ALGORITHMS
CONSUMER NEEDS
GOALS :
DEFINE CONSUMER PERSONALITY AND TASTESEVALUATE RECIPTIVITY TO THE TRENDS
PREDICT ACTIONS AND RECOMEND CUSTOMIZE CONTENTS
STREAMING INDUSTRY NOW USE TO INTERNALIZE DATAS COLLECTING AND ANALIZING
BRANDS NEEDS
GOALS :
UNDERSTAND CONSUMER BEHAVIOURACCURATE TARGETING
RECOMEND CUSTOMIZE ADVERTISMENTS
STREAMING INDUSTRY IS USING DATA TO SELL MARKETING PLANS TO BRANDS
CLOUDSTORAGE
DATAMINING:REALTIMEANALYTICS
BRANDS CONSUMERS
PREDICT TARGET ADVERTISE
DATASWAY-INDATASWAY-OUT
RESEARCH BROWSEDISCOVER
PROVIDEMUSICTOEVERYONE
P2PMusicStorageServers
STREAMING SERVICES
DatasStorageServers
Musicdiscovery&Personalization
Recommendations, Tops,Adtargeting,Labelreporting
SQL,Machinelearning,Graphprocessing, Livedatastreams
HDFS&MapReduce :Analytics, recommendations
CLOUD STORAGE AT SPOTIFY:
P2PMusicStorageServers
DataStorageServers CLOUDSTORAGE
2011:80%throughP2Pnetwork
AmazonWebService:- Storageofmusicfiles- Provide streamingtousers
GoogleCloudPlatform:- Datacollect- Datastorage- DatastreamanalyseswithBigquery :
algorythm andpredictiveanalyses
Cache
DATA MINING AT SPOTIFY:
DATAMINING:REALTIMEANALYTICS
Musicdiscovery&Personalization
Recommendations, Tops,Adtargeting,Labelreporting
SQL,Machinelearning,Graphprocessing, Livedatastreams
HDFS&MapReduce :Analytics, recommendations
600GigabyteUserscreate600Gigabyteofdataperday
4TerabyteEveryday4TerabyteofdataisgeneratedinHadoop
700nodes700nodeclusterrunningover2000jobsperday
28Petabytes28Petabytes ofstorage,spreadoutover4datacenters across theworld.
KEY NUMBERS AT SPOTIFY:
DATA MINING AT SPOTIFY:
• ThissolutionoffersasetofAPIsbasedonrichmetadatatoprovideuserswithpersonalized recommendationsofsongs,butalsoasegmentedaudiences,usefultotargetadvertisingbasedonthetypeofmusiclistened
• Highdata-mining,combining bothhumanandartificialintelligence,whichallowstheapplicationofperfectlymatchingoffercontenttothetargetprofile
THE ECHONEST : POWERFUL RECOMMENDATION ENGINE
• Convertsongsintodifferent shapes,accordingtocommonmoodsthatemerge
• Tracksaresortedbycolor• Shapes&colors aremixed:Now,eachpiecehasauniquevisual
signature
MODULATETHESHAPEOFYOURPLAYLIST
CLOUDSTORAGE
DATAMINING:REALTIMEANALYTICS
BRANDS CONSUMERS
PREDICT TARGET ADVERTISE
DATASWAY-INDATASWAY-OUT
RESEARCH BROWSEDISCOVER
PROVIDEMUSICTOEVERYONE
P2PMusicStorageServers
STREAMING SERVICES
DatasStorageServers
Musicdiscovery&Personalization
Recommendations, Tops,Adtargeting,Labelreporting
SQL,Machinelearning,Graphprocessing, Livedatastreams
HDFS&MapReduce :Analytics, recommendations
NEW SERVICES CONSUMERS
GET FEEDBACK ON HOW WELL SERVICES ARE EFFICENT TO IMPROVE THE USER EXPERIENCE
RESEARCH, DISCOVER, BROWSE
Creatingtoplists ofwhatisthemostpopularmusicrightnow
Poweringourintelligentradioanddiscoveryfeatures:GetcustomizerecommendationsGetmoods&genderplaylist
Socialexperience:brandcommunities
Alldesktop:computer,mobile,tablet,car,TV,etc.
NEW SERVICES Brands
Reporting to:- Recordlabels- Rights holders
à Make sureeveryone gets paid
à Predictions
• Moods&gender theylike• Whatkindofmusictheylike• Wheretheyare• Whentheylistenmusic• Whotheyare(demographicdatas)• Multi-plateformes (mobileanddesktop)
• Customizesessions• Midroll Videofordesktop• Audiospots• Customizedisplay• Customizeplaylists• Advertiserpage
TARGETING SOLUTIONS ADVERTISMENT SOLUTIONS
NEW TENDENCIES MUSICAL MAP
GEOLOCALISATION
Create aMusicalMap :different typesofmusic&artists depends ofyour localisation
MAKE CONSUMERS TRAVEL WITH MUSIC
• Founded in2013
• Musicsearch andrecommendation engines
• AccessiblebyApplicationProgramming Interface(API)
• Deliver better UX
• ManageMusicIndexationandrecommendation
• Improve easily datamanagement
• Founded in2013
• Saas(SoftwareAsAService)
• Musicrecognitionsolutions formediamonitoringcompanies
• Broadcastmonitoring servicesforrightsmanagementcompanies &PROs
• Copyrightdetection systems forUGCplatforms
• Livemusicidentification,musicdiscovery &purchase solutions forBtoCservices
NEW TENDENCIES EMERGING ACTORS
NEW TENDENCIES EMOTIONNAL STREAMING USER EXPERIENCE
Brainstorming
Creation ofsongs with professionals
Playlistavailable forjoggers
Newway oflistenning tomusicwhile running
Extend thecustomer relationship /Userexperience
Bring morefidelity from customers
Follow theglobalstrategy ofthebrand
Brainstorming
Newway tolisten musicon their platform forusers
Opt-infeature that matchesmusicbeatwithrunning tempo
Useasmartphone sensors todetect steps andfindsimilar tracks
Enhance theUserexperience
Targetjoggersascustomers
• Partnership focusarroundvirtual reality• Connect artists,musicfans&brandsandsponsors• « Homeconcerts »• Represent abig changefortheindustry
NEW TENDENCIES AUGMENTED & VIRTUAL REALITY
UBIQUITY•Dataareavailable anytime when ever,andcan
be stored atany place.Cloudcomputingpermits applicationstobe available
everywhere,anytime andforeverybody.
OMNISCIENT•Dataareeasily tracable.Big serversallowsorganizedstorage ofdata.Itpermits toanalyze
thepast andtopredict thefuture.
PROPINQUITY•Datacan be taken from alldevices andchannel.
Italso permits totarget,segmentandadaptcontent/strategies
CELERITY•Newtechnologies asGrid orCloud compunting
enable higherandhigher computing speed.Dataarethen transmitted faster andfaster.
ENTROPY• Interactionwithin allthesourcesofdataanddatamining allow companies toenhance the
communication, provide feedbacksanddiscover newchannels.
CONCLUSION
THE SEMANTIC WEB
THANKS FORWATCHING