{"id":180703,"date":"2018-04-03T07:21:00","date_gmt":"2018-04-03T05:21:00","guid":{"rendered":"https:\/\/www.devoteam.com\/news-and-pr\/kronik-udnyt-dit-fulde-datapotentiale\/"},"modified":"2018-04-03T07:21:00","modified_gmt":"2018-04-03T05:21:00","slug":"kronik-udnyt-dit-fulde-datapotentiale","status":"publish","type":"news-and-pr","link":"https:\/\/devoteam.info\/dk\/nyheder\/kronik-udnyt-dit-fulde-datapotentiale\/","title":{"rendered":"Kronik: Udnyt dit fulde datapotentiale"},"content":{"rendered":"

Skrevet af S\u00f8ren B. S\u00f8rensen, viceadm. partner (bragt i B\u00f8rsen d. 28. marts 2018)<\/strong><\/em><\/p>\n

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Langt de fleste virksomheder har brugt business intelligence til at f\u00e5 en st\u00f8rre og mere detaljeret talbaseret indsigt i ens egen performance baseret p\u00e5 historiske data. Men med den \u00f8gede datam\u00e6ngde og inddragelse af ustrukturerede data kan data nu noget mere. Data science er en ny virksomhedsdisciplin, der er skabt til at forl\u00f8se potentialet i nutidens datagrundlag.<\/p>\n

Med nye v\u00e6rkt\u00f8jer, nye metoder og nye kompetencer form\u00e5r data science at oms\u00e6tte data til anderledes kraftfulde indsigter, der dels kan anvendes til at styre virksomheden i realtid, dels til at kigge fremad i tid og tr\u00e6ffe bedre beslutninger om fremtiden.<\/p>\n

Det vurderes, at 95 pct. af analyser og indsigter, der skabes med data science, aldrig er blevet lavet f\u00f8r.<\/p>\n

Data er n\u00f8glen<\/strong><\/p>\n

Forestil dig, at du kommer k\u00f8rende i din bil. Vejen svinger til h\u00f8jre, men pga. en bygning kan du ikke se hvad, der sker p\u00e5 vejen efter svinget. Hvis du anvender business intelligence, vil du bruge din hukommelse og hente informationer fra sidste gang, du k\u00f8rte p\u00e5 vejen. Men den reelle v\u00e6rdi af disse data er begr\u00e6nset, id\u00e9t vej og trafik kan v\u00e6re helt anderledes denne gang.<\/p>\n

Med data science vil du hente et opdateret digitalt kort, data fra overv\u00e5gningskameraer p\u00e5 vejen, vejdata fra Vejdirektoratet, satellitdata, aktuelle data fra bilen om hastighed og placering, og meget mere. Disse data kombineres og analyseres, og frem kommer et 100 pct. opdateret billede af, hvad du kan forvente efter svinget.<\/p>\n

Du kan nu selv beslutte at s\u00e6tte farten ned, hvis det er n\u00f8dvendigt. Eller du kan overlade beslutningen til bilen selv, og s\u00e5 bliver data science grundlaget for datadrevet automatisering. P\u00e5 samme m\u00e5de kan virksomheder, som skifter de bagudrettede og generiske modeller ud med unikke fremadrettede modeller, f\u00e5 indblik i de forskellige forretningsm\u00e6ssige udfordringer, de m\u00f8der i nuet eller i fremtiden.<\/p>\n

Data science kan i kombination med IoT-l\u00f8sninger, hvor sensorer konstant leverer realtidsdata, anvendes til mere n\u00f8jagtig realtidsstyring.<\/p>\n

Det kan v\u00e6re en realtidsindstilling af en vindm\u00f8lle til, baseret p\u00e5 vejr- og vinddata, at levere den st\u00f8rst mulige produktion af el. Eller en realtids-trimning af et skib til at have den mest br\u00e6ndstofbesparende placering i vandet, givet vejr-, vind- og str\u00f8mforhold samt aktuel lastning, mv.<\/p>\n

Forudser adf\u00e6rd<\/strong><\/p>\n

Data science kan ogs\u00e5 bruges til at forudsige kunders adf\u00e6rd.<\/p>\n

Virksomheder har i mange \u00e5r brugt “churn”-modeller til at forudsige, hvorn\u00e5r en kunde ville forlade virksomheden.<\/p>\n

Med data science har “churn”-modellerne f\u00e5et en bedre og anderledes pr\u00e6cision, ligesom indsigten bag “churn”-faktorerne er \u00f8get betydeligt. Dette kan overf\u00f8res til alle typer af virksomheder, i alle brancher og af alle st\u00f8rrelser. Data og data science vil v\u00e6re essentiel for, at virksomheder kan bevare deres konkurrencem\u00e6ssige fordele.<\/p>\n

I Danmark er der en stigende mangel p\u00e5 it-folk. Det afspejler sig i h\u00f8jere grad inden for data science. En god data scientist kombinerer st\u00e6rke modelleringsevner indenfor matematik, statistik og simulering med en god, forretningsm\u00e6ssig forst\u00e5else og et godt datalogisk h\u00e5ndelag bl.a. indenfor programmering. Denne kombination er ikke en hyldevare. Tv\u00e6rtimod kr\u00e6ver den lang tids uddannelse kombineret med praktisk erfaring.<\/p>\n

Det kr\u00e6ver frem for alt tid for at blive en god data scientist. I takt med at flere virksomheder f\u00e5r \u00f8jnene op for vigtigheden i at kunne udnytte det fulde potentiale i data, vil data scientists blive en endnu st\u00f8rre mangelvare.<\/p>\n

Fokus p\u00e5 skarpe hjerner<\/strong><\/p>\n

Hvis vi skal hj\u00e6lpe danske virksomheder med at udnytte det fulde potentiale af deres data, er vi n\u00f8dt til at videreuddanne nogle af de skarpeste hjerner i Danmark.<\/p>\n

Det kan f.eks. ske ved at l\u00e6re matematikere og \u00f8konomer med en god, intuitiv forretningsforst\u00e5else at kode. Det lyder m\u00e5ske simpelt, men det er det ikke.<\/p>\n

Det fordrer en m\u00e5lrettet indsats, hvor tunge fagomr\u00e5der skal kombineres og tils\u00e6ttes et tvist i form af kodning. Og det kr\u00e6ver h\u00f8jt uddannede tv\u00e6rfaglige personer, der p\u00e5 samme tid har en naturlig forst\u00e5else for forretning.<\/p>\n

Vi befinder os i en tid, hvor digitalisering er i h\u00f8js\u00e6det, og vinderne er dem, som form\u00e5r at udnytte teknologien til at st\u00e5 st\u00e6rkere.<\/p>\n

Digitalisering og data er et strategisk makkerpar. Jo mere digitalisering, jo mere data og jo st\u00f8rre behov for virksomheder for at udnytte disse data, hvis de vil bevare eller opn\u00e5 konkurrencem\u00e6ssige fordele.<\/p>\n

S\u00e5 for hver dag, der g\u00e5r, vil evnen til at udnytte sine data blive en mere afg\u00f8rende konkurrencem\u00e6ssig faktor.<\/p>\n<\/div>\n

Vil du vide mere?
\n<\/strong>Er du nysgerrig p\u00e5, hvordan I kan udnytte jeres datapotentiale? Kontakt os idag<\/a>, og lad os tage et kig.<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Skrevet af S\u00f8ren B. S\u00f8rensen, viceadm. partner (bragt i B\u00f8rsen d. 28. marts 2018) Langt de fleste virksomheder har brugt business intelligence til at f\u00e5 en st\u00f8rre og mere detaljeret talbaseret indsigt i ens egen performance baseret p\u00e5 historiske data. Men med den \u00f8gede datam\u00e6ngde og inddragelse af ustrukturerede data kan data nu noget mere. […]<\/p>\n","protected":false},"featured_media":180704,"template":"","categories":[],"tags":[],"industry":[],"class_list":["post-180703","news-and-pr","type-news-and-pr","status-publish","has-post-thumbnail","hentry"],"acf":[],"cards":"\n\t

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S\u00f8rensen, viceadm. partner (bragt i B\u00f8rsen d. 28. marts 2018) Langt de fleste virksomheder har brugt business intelligence til at f\u00e5 en st\u00f8rre og mere detaljeret talbaseret indsigt i ens egen performance baseret p\u00e5 historiske data. 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