{"id":5986,"date":"2021-10-26T15:16:04","date_gmt":"2021-10-26T20:16:04","guid":{"rendered":"http:\/\/blog.bindy.com\/?p=5986"},"modified":"2025-08-19T14:06:59","modified_gmt":"2025-08-19T18:06:59","slug":"dataanalystrender-inom-parkeringsbranschen","status":"publish","type":"post","link":"https:\/\/blog.bindy.com\/sv\/data-analytics-trends-in-the-parking-industry\/","title":{"rendered":"Dataanalystrender inom parkeringsbranschen"},"content":{"rendered":"

Det \u00e4r ett enkelt faktum, alla f\u00f6retag i v\u00e4rlden kan dra nytta av att samla in och analysera kunddata. Ingenstans kan effekterna av datautnyttjande spela en st\u00f6rre roll eller ha en mer positiv inverkan \u00e4n i parkeringsbranschen. Time in, time out, priser, vistelsens l\u00e4ngd, h\u00e4ndelser, v\u00e4derf\u00f6rh\u00e5llanden etc. spelar alla en roll i den dagliga parkeringsverksamheten och f\u00f6ljaktligen f\u00f6r att lyfta fram anl\u00e4ggningsanv\u00e4ndning och parkeringsm\u00f6nster.<\/p>\n\n\n\n

\u00c4ven om det kan vara lite av en utmaning att samla in data, b\u00f6rjar det verkliga arbetet n\u00e4r du har samlat in det. Att veta att 86 fordon passerade genom dina grindar mellan 08:00 och 09:00 \u00e4r bra, men hur kan du tj\u00e4na pengar p\u00e5 den h\u00e4r typen av data? Det \u00e4r d\u00e4r dataanalys kommer in i bilden; hj\u00e4lpa till att f\u00f6rvandla r\u00e5data till pengar och f\u00f6rb\u00e4ttra beslutsprocessen. H\u00e4r \u00e4r mina tankar om den nya trenden med dataanalys inom parkeringsbranschen och hur du s\u00e4kerst\u00e4ller att din operat\u00f6r f\u00f6rvandlar r\u00e5data till r\u00e5 framg\u00e5ng.<\/p>\n\n\n\n

"Data \u00e4r den nya oljan"<\/strong><\/h1>\n\n\n\n

Det stora surret f\u00f6r f\u00f6retag nuf\u00f6rtiden \u00e4r att "data \u00e4r den nya oljan". Tyv\u00e4rr har det inte kommit en "gejser" av information fr\u00e5n parkeringsoperat\u00f6rer eller parkeringsbranschen \u00e4n. N\u00e4stan alla parkeringsoperat\u00f6rer i v\u00e4rlden f\u00f6respr\u00e5kar att ha n\u00e5gon form av "Data Analytics" eller "Business Intelligence"-l\u00f6sning f\u00f6r sina kunder, men sanningen \u00e4r att de flesta operat\u00f6rer har mycket primitiva metoder f\u00f6r datainsamling och har dedikerat mycket lite kapital f\u00f6r att v\u00e4xa denna nya teknologiska resurs. De flesta operat\u00f6rer har valt att skjuta upp den framtida tillv\u00e4xten av dataanalys till tredjepartsleverant\u00f6rer som Smarking<\/a>. Alternativt har leverant\u00f6rer av parkeringsutrustning \u00e4ntligen b\u00f6rjat l\u00e4gga fram en mycket mer uth\u00e5llig anstr\u00e4ngning f\u00f6r att odla dataanalys som en produkt\/tj\u00e4nst. Med tanke p\u00e5 att deras utrustning vanligtvis samlar in parkerdata \u00e4nd\u00e5, varf\u00f6r inte integrera en dataplattform och analysverktyg f\u00f6r kunder ocks\u00e5? Vettigt, eller hur?<\/p>\n\n\n\n

Men vad kan eller b\u00f6r parkeringsoperat\u00f6rer g\u00f6ra med den data de f\u00e5r? Hur kan de anv\u00e4nda denna information f\u00f6r att f\u00f6rb\u00e4ttra parkeringsint\u00e4kterna och verksamheten f\u00f6r sina kunder?<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

<\/p>\n\n\n\n

H\u00e4r \u00e4r mina fem (5) b\u00e4sta rekommendationer n\u00e4r du \u00f6verv\u00e4ger en Data Analytics- eller Business Intelligence-l\u00f6sning med din parkeringsoperat\u00f6r:<\/p>\n\n\n\n

1. Verifierbar<\/h2>\n\n\n\n

Operat\u00f6rer m\u00e5ste intyga att insamlingen av r\u00e5data (t.ex. f\u00f6r en m\u00e5nad) fr\u00e5n parkeringsutrustning kan verifieras mot rapporterade int\u00e4kter f\u00f6r att s\u00e4kerst\u00e4lla att det inte finns n\u00e5gra avvikelser eller luckor i basdata (t.ex. saknade transaktioner, betalningar, grindh\u00e4ndelser, etc.) f\u00f6re som anv\u00e4nds i alla Business Intelligence-plattformar eller applikationer.<\/p>\n\n\n\n

2. Pilot<\/h2>\n\n\n\n

Operat\u00f6rer m\u00e5ste tydligt visa de bepr\u00f6vade kapaciteterna eller resurserna hos sina f\u00f6reslagna Business Intelligence-l\u00f6sningar. Att visa en PowerPoint-presentation med olika datorsk\u00e4rmdumpar \u00e4r inte tillr\u00e4ckligt bra. Du b\u00f6r kunna se produkten fungera i realtid i en verklig anl\u00e4ggning.<\/p>\n\n\n\n

3. Anpassningsbar<\/h2>\n\n\n\n

Operat\u00f6rerna m\u00e5ste se till att parkeringsdata kommer att vara tillg\u00e4nglig i flera format f\u00f6r varje parkeringsanl\u00e4ggning och att den \u00f6verensst\u00e4mmer med platsspecifika driftsegenskaper (t.ex. ytor utomhus kontra v\u00e4derm\u00f6nster, vistelsens varaktighet n\u00e4r anl\u00e4ggningarna \u00e4r bemannade kontra obemannade, motsvarande transaktionsvolymer , uppdelat p\u00e5 priser, per dag\/m\u00e5nad\/\u00e5r, etc.) Ju mer detaljerad information du f\u00e5r desto b\u00e4ttre!<\/p>\n\n\n\n

4. Rapportering<\/h2>\n\n\n\n

Operat\u00f6rer m\u00e5ste visa hur de planerar att anv\u00e4nda parkeringsdata f\u00f6r att ge dig anv\u00e4ndbara rapporter. Till exempel, om 48% av parkerare som g\u00e5r in p\u00e5 en flygplatsparkeringsanl\u00e4ggning mellan kl. 06.00 och 10.00 parkerar i garaget n\u00e4rmast terminalens ing\u00e5ng\/utg\u00e5ng och \u00e4r ansvariga f\u00f6r att generera 70% av de totala int\u00e4kterna fr\u00e5n parkeringsanl\u00e4ggningen, vad betyder det? Varf\u00f6r \u00e4r det viktigt? Om parkeringsoperat\u00f6ren i det h\u00e4r exemplet kan presentera data f\u00f6r att markera en h\u00f6gre procentandel av resen\u00e4rer som l\u00e4mnar\/h\u00e4mtas eller korttidsparkerare i denna anl\u00e4ggning (fr\u00e4mst p\u00e5 grund av n\u00e4rheten till terminalen) kan kunden \u00f6verv\u00e4ga (eller motivera ) m\u00f6jliga prish\u00f6jningar eller r\u00f6rliga prisstrukturer (baserat p\u00e5 efterfr\u00e5gan och tid p\u00e5 dygnet). Fr\u00e5ga din operat\u00f6r hur de planerar att dra nytta av den data de samlar in.<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

<\/p>\n\n\n\n

5. Prognoser<\/h2>\n\n\n\n

Parkeringsoperat\u00f6rer m\u00e5ste kunna tillhandah\u00e5lla verkliga fallstudier om hur deras Business Intelligence-l\u00f6sningar har anv\u00e4nt historiska parkeringsdata f\u00f6r att f\u00f6ruts\u00e4ga framtida behov av bel\u00e4ggning i en parkeringsanl\u00e4ggning eller l\u00e5g bel\u00e4ggning vid andra tillf\u00e4llen. Deras Business Intelligence-l\u00f6sningar m\u00e5ste kunna analysera data och f\u00f6ruts\u00e4ga (med rimlig s\u00e4kerhet) m\u00f6nster f\u00f6r parkerare per dag, vecka eller m\u00e5nad etc. Detta skulle vara s\u00e4rskilt viktigt f\u00f6r alla som vill implementera en strategi f\u00f6r variabel eller "dynamisk" priss\u00e4ttning.<\/p>\n\n\n\n

Parkeringsdata \u00e4r bara anv\u00e4ndbar om den anv\u00e4nds p\u00e5 r\u00e4tt s\u00e4tt och maximalt. Att samla in data \u00e4r bara det f\u00f6rsta steget mot ett framg\u00e5ngsrikt genomf\u00f6rande och implementering av en analysl\u00f6sning s\u00e5 leta efter en bepr\u00f6vad produkt- och tj\u00e4nsteleverant\u00f6r. F\u00f6rst d\u00e5 kommer du att kunna omvandla r\u00e5data till r\u00e5 framg\u00e5ng p\u00e5 din parkeringsanl\u00e4ggning.<\/p>\n\n\n\n

<\/p>\n\n\n

\n
\"Ross_Frangos_headshot\"<\/figure>\n<\/div>\n\n\n

Om f\u00f6rfattaren:<\/p>\n\n\n\n

Ross Frangos<\/a> \u00e4r ordf\u00f6rande och grundare av AuditPark Services Inc<\/a>., ett parkeringskonsultf\u00f6retag baserat i Toronto ON. Han \u00e4r specialiserad p\u00e5 f\u00f6rfr\u00e5gningar om f\u00f6rslag, parkeringsdokument och att hj\u00e4lpa sina kunder med upphandling av parkeringshanteringstj\u00e4nster.<\/p>\n\n\n\n

\n
\n
\n

 <\/h3>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

Det \u00e4r ett enkelt faktum, alla f\u00f6retag i v\u00e4rlden kan dra nytta av att samla in och analysera kunddata. Ingenstans kan effekterna av datautnyttjande spela en st\u00f6rre roll eller ha en mer positiv inverkan \u00e4n i parkeringsbranschen. Time in, time out, priser, vistelsens l\u00e4ngd, h\u00e4ndelser, v\u00e4derf\u00f6rh\u00e5llanden, etc. spelar en roll... Forts\u00e4tt l\u00e4sa Dataanalystrender inom parkeringsbranschen<\/span> \u2192<\/span><\/a><\/p>","protected":false},"author":6370623,"featured_media":25788,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_crdt_document":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[10363],"tags":[677173882,413479818,185506211,48265123],"class_list":["post-5986","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-parking","tag-parking","tag-parking-audit","tag-parking-inspection","tag-parking-operations"],"yoast_head":"\nData 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