Isu tiri kurarama kuburikidza neanoshamisa data boom munzvimbo inogara ichishanduka yetekinoroji, mafashama edijitari ane zvese kubva kune yakaoma kunzwisisa data yesainzi kusvika pasocial media chatter.
Mamirioni ematerabytes edata nyowani anogadzirwa zuva rega rega, zvisingadi kuchengetedza chete asiwo kuongororwa kwakaomarara kuti uwane ruzivo.
Kuwana ruzivo rwakakosha rwakavanzwa pakati peruzha rwave rwakanyanya kuoma nekuda kwekukwira kusati kwamboitika mukubuda kwedata.
Munharaunda ino, AI yakawana mukurumbira uye yakashandura nzira yatinofunga nezvekugadzirisa data.
Ongororo yedata yaishandiswa kuve nzira yekushanda-yakanyanya kutsamira pakushanda kwevanhu uye nzira dzakapusa dzekuverenga.
Asi zera idzva rakatanga nekuvandudzwa kweAI. Kugadzirwa kwemaalgorithms ayo anogona kubata yakakura data seti nekukurumidza kupfuura chero munhu angave akatangisa kutanga kweAI yekuda kushandura kuongororwa kwedata.
Nezvinoitika izvi, akajairwa analytics akachinja paradigm kune AI-inotyairwa njere, uko kwakaomarara mapatani anoonekwa uye kufungidzira kwakaringana kunoumbwa.
Muchirevo chechinyorwa ichi, mapuratifomu eAI data kuongororwa ave chaiwo ekuchinja mutambo. Aya masisitimu anoshandisa yekucheka-kumucheto algorithms, machine learning, uye kufembera analytics kuita mabasa anga asingafungidzike.
Aya masisitimu anokwanisa kubata nemazvo uye zviri nyore mabasa mazhinji akaomarara ekuongorora, kubva pakuona mapatani mumaseti makuru edata kusvika kufanotaura mafambiro emusika wemangwana.
Ichi chinyorwa chinoongorora iyo inonakidza ndima yeAI data yekuongorora mapuratifomu, ine kukoshesa kwakakosha pamapuratifomu gumi anotarisirwa kusvika 10.
Aya mapuratifomu ese ane chimwe chinhu chakakosha chekupa, chingave chepasi-chinotyora maficha, yekucheka-kumucheto budiriro, kana inonakidza mashandisiro epasirese.
1. Hal9
Hal9 inomira pachena sepuratifomu yakasarudzika munzvimbo yedhijitari analytics, ichipa huwandu hwezvishandiso zvinobatsira masangano emarudzi ese kukwenenzvera maitiro avo e data analytics.
Hwaro hwayo hwakasimba hweakavhurika-sosi data tekinoroji inovimbisa kuchinjika kwayo uye musono kupindirana nehuwandu hwekushandisa.
Conversational Data Exploration ndeimwe yeHal9 inonyanya kushamisa kugona. Nekubvisa zvipimo zvezvakajairwa, zvisingachinjiki nzira dzekubvunza, chimiro ichi chinokuita kuti utaure nemutauro wakajeka nedata rako.
Natural Language Processing (NLP) uye Machine Kudzidza (ML) algorithms anoshanda pamwechete kuti akugone kubvunza yakaomesesa bhizinesi mibvunzo maererano nezvako uye uwane nekukurumidza, mhinduro dzinodzidzisa.
Iyi puratifomu zvakare yakanaka kwazvo pakugadzira manzwisisiro anofambiswa neAI.
Hal9 inoshandisa yekucheka-kumucheto NLP uye ML kuongorora data rako uye kugadzira kwakakodzera, kunobatsira ruzivo.
Nekushandiswa kweichi kugona, chero munhu anogona kutora ruzivo rwakakosha kubva kune data, akazvimirira pahunyanzvi hwehunyanzvi, demokrasi kuongororwa kwedata. Hal9's Interactive Data Visualization ndechimwe chekuwedzera.
Nekushandiswa kwemachati, magirafu, mepu, uye dashboards, chishandiso ichi chinoita kuti ruzivo rwe data ive nyore kubata nekutaurirana. Hal9 inopa Enterprise-Giredhi Chengetedzo kune mabhizinesi ari kunetseka nezve chengetedzo.
Izvi zvinosanganisira kuomerera kune indasitiri zviyero, encryption, uye nzira dzekudzora kuwana.
Uyezve, Hal9 inopa iyo On-Premises Deployment sarudzo kune avo vane zvakaomesesa data kuvanzika zvinodiwa kana vanoda kutonga kwakawanda pamusoro pezvivakwa zvavo. Hal9 ndeyekugadzira kukosha, kwete kungopa maturusi.
Kukurumidzira kusikwa kweruzivo rwekukurumidza, kuita sarudzo kune ruzivo, kuvandudzwa kwedata rekugadzirisa zvirinani kugadzirisa, kuwedzera kutaurirana kwedata pakati pevanobata, uye kuderera kwemari yekushandisa nekuda kwekudiwa kwehunyanzvi hwekuongorora data zvingori zvishoma zvakanakira.
Makesi akawanda ekushandisa anotsigirwa nepuratifomu. Hal9 yeSales Analytics inobvumira zvikwata zvekutengesa kuwedzera maitiro avo. Zvikwata zvekushambadzira zvinogona kuwana zvirinani mumaitiro evatengi nekushandisa Marketing Analytics.
Iyo inobatsira mukufanotaura kwemari uye maitiro ekutarisa mune zvemari analytics. Mabhizinesi anogona kudzidza zvakawanda nezve mashandiro ekushanda kuburikidza nekushandisa mashandiro ekuongorora.
Chekupedzisira, data rekuongorora uye kuongororwa kwemhinduro yemutengi kunogona kushandiswa kuvandudza ruzivo rwevatengi.
Pricing
Unogona kutanga kuishandisa mahara uye mitengo yeprimiyamu inotanga kubva pamadhora manomwe/mwedzi.
2. Kugona
Viable ipuratifomu inofambiswa neAI iri kunyatso chinja maitiro emakambani kumhinduro yemutengi.
Inoshandura mhinduro yemushandisi kuita ruzivo rwakakosha nekubatanidza mamodheru mapfumbamwe ane GPT-3 uye GPT-4 uye kushandisa AI ine simba.
Nerubatsiro rwechishandiso ichi, unogona kuwana ruzivo rwakadzama rwe data uye kugadzira zvirongwa zvinoenderana nemamwe maKPI uye zvinangwa zvebhizinesi.
Iko kugona kweViable kuita otomatiki maitiro ekuongorora mhinduro ndeimwe yeayo inonyanya kuzivikanwa maficha. Izvi zvinodzikisira huwandu hwematiketi ekutsigira uye zvinowedzera NPS (Net Promoter Score) uku uchiendesa mishumo muChirungu chakajeka neruzivo runobatsira.
Mishumo iyi inobatsira kuderedza mari yekushandisa uye kuwedzera chigadzirwa nguva-ku-musika.
Pamusoro pezvo, Inoshanda nyore inopindirana nemapuratifomu akakurumbira seFront, Zendesk, uye Intercom, zvichiita kuti ive chishandiso chinobatsira kune mamaneja echigadzirwa, zvikwata zvinotsigira vatengi, uye vatengesi.
Kana zvasvika kune mukati mekushanda kweViable, iwo matanho matatu ari Aggregate, Ongorora, uye Ita. Iyo inogadzira yesangano-inotarisisa tsika nekubatanidza data kubva kune akati wandei masosi papuratifomu imwe chete.
Inogoneka inokunda padanho rekuongorora, painoshandisa AI kuona nyaya dzinonyanya kudzvanya uye kusimudzira chigadzirwa.
Pakupedzisira, danho rekuita rinogonesa vashandisi kushandura ruzivo kuita zviito zvine musoro, kusanganisira kuwedzera mambure ekusimudzira zvibodzwa, kudzikira kwezvikumbiro zverutsigiro, uye kubvisa kushushikana.
Kugona kweViable kuongorora mhinduro yevatengi pachiyero ndeimwe yemabhenefiti ayo makuru.
Kuvandudza ruzivo rwevashandisi uye kuchengetedza vatengi vazhinji ndosaka nzira iyi yakakosha. Kuti uite sarudzo dzinofambiswa nedata, zvinosanganisira kuunganidza kubva kune dzakasiyana siyana nzira uye kuronga, kuisa mumapoka, uye kuiongorora.
Kune akawanda akasiyana marudzi emhinduro dzevatengi anogona kuongororwa.
Zvinosanganisira nhare dzekubatsira, rubatsiro rwekutaura, nharembozha ongororo, kuongororwa kwechigadzirwa chepamhepo, kudyidzana nevezvenhau, zvinyorwa zvevatengi zvemukati, uye ongororo dzevatengi (zvakadai seNPS, CSAT, uye CES ongororo).
Pricing
Mitengo yepamusoro yepuratifomu inotanga kubva kumadhora mazana matanhatu / mwedzi
3. Chati Pixel
Chati Pixel inobuda sechishandiso uye mushandisi-ane hushamwari chishandiso mune yekuona data chiitiko, ichivavarira kuita kuti ongororo yedata iwanikwe uye inakidze kune wese.
Chinangwa chayo ndechekuita pfungwa yenyika inogara yakaoma uye inotyisa yedata. Zvisinei nekwawakabva mukuongorora data, Chati Pixel inovimbisa kuti unogona kunzwisisa uye kushandisa data nemazvo nekupa yakavhurika uye yakapusa nzira. Iyo mushandisi-inoshamwaridzika chikuva cheChati Pixel ndeimwe yemabhenefiti ayo makuru.
Chati Pixel inokubatsira kuti ufambe-famba nenzira yekuongorora data, saka haisi ye data-savvy chete. Kuunganidzwa kwedata, kuona, uye kuongororwa kunoitwa nyore neayo mushandisi-ane hushamwari interface.
Kuti ushandise kugona kwayo nemazvo, haufanirwe kunge uri muongorori ane ruzivo. Kushanda kweChati Pixel kwakasimba chaizvo.
Iwe unogona kuisa ongororo kana mafaira edatha, uye inozogadzira yega gallery yemachati ane ruzivo rwehuwandu uye AI-anobatsirwa makomendi. Pamusoro pekuzivisa mafambiro mune yako data, izvi zvakare zvinochenesa data yakasanganiswa, inosarudza iyo inonyanya kukosha makoramu uye machati masitaera, uye inokufambisa iwe kuburikidza nekuongorora maitiro.
Nekungodzvanya kamwe chete, chimiro ichi chinonyanya kubatsira kushandura data isina kugadziridzwa kuita mharidzo dzinogombedzera. Kuongorora hunhu hweChati Pixel, munhu anogona kuwana hunoshamisa huwandu hwesarudzo.
Iine anopfuura makumi maviri akasiyana emhando dzechati-kusanganisira kuparadzira zvirongwa, mepu, uye mifananidzo-inopa AI-anobatsirwa machati ane maitiro ekuona.
Iyo ine zvakare keyword yekutsvaga ficha inowana webhu zvinhu uye inoishandura kuita machati anobata maziso.
Kune avo vari kutyira nezvemhando yedata, Chart Pixel inovandudza uye inoronga data kuti ipe ongororo ine musoro.
Pamusoro pezvo, iyi application inotungamira inotungamirwa yekuongorora uye kubatana nekugonesa kutumira kunze kwekunzwisisa uye zviratidziro muPowerPoint mharidzo.
Mamiriro ekushandisa eChati Pixel akasiyana, achisangana nezvinodiwa nemaindasitiri akasiyana.
Inobatsira neinjiniya, yekuongorora dhata, kugadzirira data uye kuchenesa, uye kunyangwe kusimudzira uye kuongorora. michina yekudzidza mamodheru.
Chart Pixel chinhu chakakosha kuvatori venhau nevadzidzisi zvakafanana, sezvo ichibvumira kugadzirwa kwekufungidzira uye machati anovandudza kushuma uye kudzidzisa vadzidzi mukuongorora data.
Pricing
Unogona kusaina mahara asi mitengo haina kunyorwa pawebhusaiti.
4. AI Consulting Zvishandiso
AI Consulting Zvishandiso ipasi-inopwanya pasuru yakagadzirwa kuti inyatso shandura nzira yekubvunza kune vese varairidzi nemabhizinesi.
Iko kusanganiswa kwakakosha kweAI-powered tekinoroji, senge PESTEL inoongorora, mushandisi vanhu, akaonda canvasses, uye SWOT ongororo, ese akagadzirirwa kupa zvakadzama, ruzivo rwemunhu.
Zvishandiso izvi zvinenge zvinopfuura kungoongorora data; ivo vari pamusoro pekushandura ruzivo irworwo kuva zvirongwa zvinoshanda uye mazano. Iyo suite inopa huwandu hwakasiyana hwekucheka-kumucheto zvinobatsira.
Semuenzaniso, iyo SWOT Analysis chishandiso chinopfuura kungofanana nekuongorora; iAI-powered kuongorora kwekambani tarisiro, kutyisidzira, uye mukati nekunze simba uye kushaya simba..
Kune yakanangana kushambadzira uye kugadzirwa kwechigadzirwa, Mushandisi Personas chishandiso chinogadzira vanhu vakakwana vachishandisa mutengi uye musika data rekutsvaga.
Kunyange zvazvo PESTEL Analysis tool inopa nzira yakakwana yekuongorora zvakasiyana-siyana zvekunze zvinokanganisa sangano, Lean Canvases inoita kuti zvive nyore kugadzira zvirongwa zvebhizimisi peji rimwe chete, izvo zvinobatsira pakuronga kwemaitiro.
Haisi chete nezve izvo matekinoroji anogona kuita, zvakadaro; zviri zvakare nezve sei. AI Consulting Zvishandiso inoshandisa yekucheka-kumucheto AI kuendesa data-inotyairwa ruzivo runotsigira hungwaru kuita sarudzo.
Ese mazinga evanopa mazano achaona zvigadzirwa zviri nyore kushandisa nekuti kune yavo intuitive interface uye mushandisi-ane hushamwari dhizaini. Pamusoro pezvo, iwe unogona kushandura zvidzidzo kuti zvizadzise yako yakasarudzika zvinangwa zvekambani uye zvinoda nekuda kweiyo suite yezvishandiso zvinogadziriswa.
Kune akawanda chaiwo-epasi anoshandiswa kune AI yekubvunza maturusi. Iwo akakwana kumakambani anoona zvekunze uye zvemukati zvinhu zvakakosha kumabasa avo, vanachipangamazano vachitsvaga kuchengetedza nguva pakuongorora data vachigadzira ruzivo rwakakwana, uye kutanga kuri kugadzira uye kuona pfungwa dzebhizinesi.
Aya matekinoroji akakosha zvakare kune mabhizinesi anoda kugadzira yakazara mushandisi vanhu nekuongorora zvakadzama mukutsvaga kwemusika uye data revatengi.
Pricing
Mitengo yepamusoro yepuratifomu inotanga kubva kumadhora 9.99 pamwedzi inobhadharwa pagore.
5. Graphy
Graphy ndeye data inofambiswa neAI visualization tool iyo iri kushandura nzira iyo vanhu vanobatana nayo uye nekunzwisisa data munyika inogara ichichinja yedhijitari. Fungidzira chikuva uko zvese zvinotora kudzvanya kushoma kuti ugadzire zvinokatyamadza, zvinodyidzana dashboards uye zvinoonekwa.
Ndizvo chaizvo izvo Graphy inopa: yakatsetseka data kuona uye kugovana ruzivo. Graphy yakasarudzika pakuti inoita kuti kuunganidza data kuve nyore.
Unogona kuunganidza data rako rese munzvimbo imwechete nekudzvanya kamwe chete pakuwedzera kweChrome, uchibvisa kudiwa kweakaomesesa ekodhi kana hunyanzvi hwetekinoroji.
Iyi tekinoroji zvakare yakanyanya-mushandisi-inoshamwaridzika maererano nekugona kwayo kuona. Akanaka, anogadziriswa machati ane mikana yekusimbisa akakosha metrics, wedzera zvirevo, uye kunyange kushandisa emojis kupemberera kukunda kwako iripo. Kuita kuti data rako rikushandire ndicho chinangwa cheGraphy, kwete kungogadzira mifananidzo.
Graphy inobatanidza zvisingaite neakasiyana maapplication, anosanganisira Notion, ClickUp, PowerPoint, Google Slides, uye Canva, kune akasiyana mashandisiro, kusanganisira anogara achigadziridza mukati mebhizinesi rako, kupindura ad hoc mibvunzo, kuudza vatengi vekunze, uye kubata vateereri vako.
Chakanyanya kukosha kugona kwayo kuunganidza mazano kubva kwakasiyana data masosi uye nekuaendesa kune ekubatana mapuratifomu akadai seTimu kana Slack.
Graphy's AI-yakagadzirwa njere chinhu chakakosha chinogonesa kuongororwa kunoshanda kwemaitiro uye maitiro mukati medataset.
Icho chishandiso chinoshanda cheakasiyana nyanzvi, kusanganisira vanoongorora bhizinesi, data masayendisiti, vatengesi, vadzidzisi, uye vadzidzi, nekuda kweiyo AI-inotyairwa nzira uye zvinogadziriswa zvinoonekwa.
Imwe yemabhenefiti makuru eGraphy ndeye kuwanikwa kwayo. Iyo yemahara kushandisa uye inopa maturusi ekugadzira machati uye nzwisiso yakagadzirwa neAI pasina kuda kupinda.
Izvi zvinovhura yakaomesesa data kuongororwa uye kuona kune vateereri vakakura, zvisinei nekushomeka kwemari.
Nekuda kwekumisikidza kwayo maficha, maonesheni anogona kuverengerwa zviri nyore mumapuratifomu anozivikanwa, achiwedzera kukosha kwayo muhuwandu hwehunyanzvi mamiriro.
Ipfupi yekudzidza curve uye kukodzera kune vese novice uye nyanzvi vashandisi mamwe mabhenefiti eGraphy's yakatwasuka uye intuitive dhizaini.
Pricing
Unogona kutanga kuishandisa mahara uye mitengo yeprimiyamu inotanga kubva kumadhora mana pamushandisi/mwedzi.
6. Athenic AI
Athenic AI nyeredzi inopenya mumunda weanalytics, ichipa shanduko yekuongorora data uye kuona.
Zvikwata zvese zvebhizinesi zvinogona kushandisa iyi AI-inogonesa analytics chikuva, iyo inovhara zvisina mutsetse mukaha pakati peakaoma data seti uye ruzivo runobatsira pasina kudiwa kwehunyanzvi hwehunyanzvi.
Iyo yakasarudzika mhando yeAthenic AI kugona kwayo kuendesa kwakakosha nzwisiso mumasekondi kwete mazuva, izvo zvinoita kuti ive chishandiso chakakosha mukuita basa rekuita.
Nekuongorora kugona kwayo uye kuenda parwendo rwe data analytics, unogona kubatanidza mapoinzi akasiyana edata, kufumura mafambiro, uye kunzwisisa izere nyaya iri kutaurwa nedata.
Iyi nzira inodemocratize bhizinesi rehungwaru analytics nekupa simba zvikwata zvine akavimbika njere kuburikidza nekugona kubvunza AI mibvunzo yedata ravo.
Athenic AI inochinjika zvakanyanya uye inogona kushandiswa kusangana nehupamhi hwezvido.
Semuyenzaniso, inogona kushandiswa nevanotangisa kutsvaga analytics yakaoma pamitengo inokwanisika, kana nevatengesi vanoda kukurumidza uye nyore analytics yezvirongwa zvinofambiswa nedata.
Pamusoro pezvo, inokunda mu e-commerce analytics, ichipa nzwisiso yakajeka pese pazvinenge zvichidikanwa uye inotsigira kuronga nekushanda kwezvikwata zve-back-office nekukurumidza kudzosa data uye kuongororwa.
Iko kugona kukupa iwe pachako-sevhisi data analytics ndiyo inonyanya kusiyanisa Athenic AI.
Iwe unogona kuwana uye kuongorora data pachavo, izvo inowedzera kubudirira, inoderedza kuvimba neIT, uye inokurumidza kuita sarudzo inotungamirwa nedata.
Iyo AI-powered platform yeAthenic AI inogonesa kuongororwa kwedata kuburikidza nemibvunzo mumutauro wakajeka uye inobatanidza neruzivo rwuri mudhatabhesi, matura data, uye maapplication akaita seCRM neERP masisitimu.
Nekuda kwechinhu ichi, chero munhu asina ruzivo rwekutanga nekuongorora bhizinesi kana SQL anogona kuishandisa.
Iyi puratifomu inoshandisa analytics inofambiswa nekutsvaga, nzira yemushandisi-inotendera iyo inobvumidza kutsvaga kwedata uchishandisa mibvunzo yemutauro wechisikigo, yakadai kune inoitiswa neGoogle kana dzimwe injini dzekutsvaga.
Unogona kubvunza, "Ko kutengesa kwangu kwakachinja sei mwedzi nemwedzi gore rino?" semuenzaniso, uye uwane mhinduro muchimiro chetabular kana graphical mhedzisiro.
Nehunyanzvi hwayo pakushandura mutauro wakajairwa kuita SQL mibvunzo, Athenic AI inopa kuongororwa kwedata kubata-kufanana kwevanhu.
Pricing
Mitengo yepamusoro yepuratifomu inotanga kubva pamadhora gumi / Chigaro pamwedzi.
7. Pindura Rocket
MhinduroRocket yakasarudzika pakuti inotsanangura patsva mabatiro anoita masangano nedata nekuita seAI copilot yemakambani analytics.
Nerubatsiro rweiyi yekucheka-kumucheto tekinoroji, unogona kukurumidza kubvisa kukosha kwakawanda kubva kune ese akaumbwa uye asina kurongeka data uye kuwedzera yako. analytics kubereka.
MhinduroRocket inopa zvinopfuura kungoongorora data; zvakare inokubatsira kukurumidza kuwana ruzivo uye kunzwisisa zvinhu zvinopesvedzera shanduko yemetric kuitira kuti ugone kugadzirisa matambudziko.
MhinduroRocket kugona kuongorora data kuburikidza nemutauro wechisikigo hurukuro ndeimwe yeayo anoshamisa maitiro.
Funga kuita hurukuro newaunoshanda naye nezvehuwandu hwekambani yako. Iyi nzira inokwenenzvera nzira yekubvunza data nekubatanidza neOpenAI's GPT-4.
Unogona kubvunza nezve zvinhu zvakaita se "Nei kutengesa kwangu kuri kuderera kuMabvazuva?" kana kuti “Ndiri kuronda sei ndichipesana nevavariro yangu?” uye kuwana ongororo dziri diagnostic, prescriptive, predictive, uye inotsanangura mukupindura.
MhinduroRocket inowedzera nyanzvi AI makopi patafura mukuwedzera kune yayo mushandisi-inoshamwaridzika chat interface. Aya makopi akagadzirirwa kambani yako uye anomiririra nzira yainokurukura, inoongorora, uye inoratidza data.
Iyo software zvakare inokwenenzvera ako ezuva nezuva, evhiki, uye epamwedzi ekubika mabasa nekuita otomatiki kudzokorora kuongorora.
Iine bhizinesi-giredhi chengetedzo & scalability, ane simba ML-powered analytics, uye zvese zvaunoda kuti uvandudze ako analytics hunyanzvi, inovakwa kuti igare.
Chinangwa chikuru chepuratifomu ndechekukubatsira iwe kuzadzisa zvinangwa zvebhizinesi rako nekupa ruzivo, ruzivo runobatsira.
Nekugoneswa uku, vashandi vako vanogona kutonga bhizinesi nechivimbo uye kubatsira kunzvimbo dzakaita sekufanotaura kudiwa, kunzwisisa kwevatengi, kukura kwemhando, uye kuderedza churn.
Inogadzirisa kutenderera kwechinyakare kwematambudziko ekuongorora data nekubvumira mutauro wechisikigo kubvunza mhinduro nekukurumidza pasina kuda vaongorori vane ruzivo.
MhinduroRocket's mushandisi-inoshamwaridzika dhizaini, yakapusa kuseta maitiro, uye ane simba kuona data anorumbidzwa zvikuru nevashandisi.
Iyi puratifomu inoramba ichiwedzera maitiro ayo uye ruzivo rwemushandisi uchibatanidza kune yakakosha data masosi, seAmazon RedShift.
Pricing
Mitengo haina kunyorwa pawebhusaiti asi unogona kukumbira demo yepuratifomu.
8. Julius AI
Julius AI yakashanduka seyakasimba uye mushandisi-inoshamwaridzika tekinoroji, yakagadzirirwa kuita kuti kugadzirisa kwedata uye kuona kuve nyore.
Funga kuva nemuongorori wedata wega waunaye, uyo anotaura data rakarongeka zvakanaka uye zvinoyevedza anoriona.
Kubva kune vanoongorora dhata vanoongorora kusvika kune vane ruzivo ruzivo ruzivo vachitsvaga nekukurumidza uye nyore kugadzirisa, Julius AI inoitwa kuti ishumire huwandu hwakawanda hwevatengi.
Kana zvasvika pakuongorora huwandu hwakasiyana hwe data rakarongeka, kusanganisira huwandu hwemari, zvakawanikwa muongororo, uye mamwe marudzi eruzivo rwakarongeka, Julius AI ane zvakawanda zvaanoitira.
Nekuda kwekuita kwayo kwakasiyana-siyana, chikuva chinogona kusanganiswa nyore nyore neyakasiyana siyana data masosi, seGoogle Sheets, Postgres dhatabhesi, uye Excel Sheets.
Hazvina mhosva kuti data rinochengeterwa kupi, kuongororwa kunogoneka nekuda kwekuenderana kwayo kwakakura.
Iyi puratifomu inoshandisa nzira yekuongorora inotungamirwa nemubvunzo, iyo inoita kuti uwirirane nedata rako nekubvunza mibvunzo inoongororwa naJulius AI nekupindura, ichiita kuti maitiro ekutsvagisa ave echisikigo uye anonakidza.
Kuenderera mberi nekuvandudza kubatanidzwa kwevashandisi uye kunzwisisa kweiyo data, inogona zvakare kushandiswa kukurudzira kutaurirana neiyo data kuburikidza nechat interface.
Pamusoro pezvo, Julius AI inoita kuti kuona data kuve nyore-basa rinogona kutyisa dzimwe nguva.
Nehupamhi hwematurusi ekuona ainopa, senge kupisa mepu, mabhawa machati, uye histograms, vashandisi vanogona nyore kushandura yakaoma data seti kuita ngano dzinonzwisisika uye dzinonzwisisika.
Kunze kwekushanda uku, Julius AI inofambisa kuvandudzwa kwemamodhi ekufungidzira uye kuitwa kweAI hurongwa, nekudaro ichiwedzera kukwezva kwayo kune vatengi mune mamwe masekete. Nezve mashandisirwo epasirese, Julius AI anokunda mune akati wandei mamiriro.
Chishandiso chakakosha chekududzira akaomesesa dhatabheti, kugadzira zvinobata maziso, uye kuvaka fungidziro yemuchina yekudzidza modhi.
Pamusoro pezvo, inobatsira kuteedzera Key Performance Indicators (KPIs) uye mavara maitiro uye abnormalities mumadatasets, izvo zvese zvakakosha pakuita sarudzo dzinofambiswa nedata.
Kuchinjika kwayo kune akati wandei mamiriro ehunyanzvi kunosimbiswa nenyaya yekuti inotora nzvimbo dzakawanda, kusanganisira sehupfumi, kushambadzira, hutano, uye vadzidzi.
Pricing
Chikuva chakasununguka kushandisa kune wese munhu.
9. Polymer
Polymer iBusiness Intelligence (BI) mhinduro ine chinangwa chekudzikisa akaomesesa kuseta uye kudzika kwekudzidza macurves kuita nyore, mushandisi-ane hushamwari ruzivo.
Zvikuru, Polymer inoita kuti iwe ugone kuburitsa data rako nehunyanzvi, kuvaka madhibhodhi, uye kuburitsa zvinoonekwa mune imwe nyaya yemaminetsi.
Kune ani nani anoda kuongorora uye kuongorora data pasina kuda hunyanzvi hwepamusoro hunyanzvi, ndicho chishandiso chakakwana.
Kunyanya kukosha ndeyePolymer's AI chikamu. Yako data inoongororwa, uye inongogadzira inokatyamadza dashboard uye inopa yakadzama nzwisiso.
Nekubatsirwa kweichi basa, iwe unogona kuita nedata zvakanyanya zvinobudirira uye nekunzwisisa. Hunhu hunozivikanwa hwePolymer zvakare kuti zviri nyore sei kugovera.
Iwe une zvakawanda zvakasiyana-siyana pamaratidziro aunoita data rako sezvo uchigona kumisa data mune akati wandei mafomati, kugovera dashboard nekukurumidza, uye kudonhedza mamwe machati mumharidzo.
Polymer inoshanda yakafara mativi ezvikamu maererano nekushandiswa kwepasirese chaiko. Polymer inogona kushandiswa, semuenzaniso, ne e-commerce masisitimu akadai Shopify kuziva maitiro evatengi uye kutenga mapatani.
Inonyanya kukosha pakushambadzira, sezvo ichikuita kuti ubatanidze data kubva kune saiti seFacebook neGoogle kukwidziridza mashandisiro ako ekushambadzira uye kuwedzera kushanda kwekugadzira kwako.
Pamusoro pezvo, Polymer inobatsira zvikwata zvekutengesa nekupa imwe nzira yakatwasuka yekutarisa mashandiro uye kuronga, saka inosimudzira kurongeka kwekushanda.
Revision mashandiro (RevOps) zvikwata zvinogona zvakare kubatsirwa kubva kuPolymer kuchinjika. Pasina scripting kana tekinoroji setup inodiwa, inoita kuti zvikwata izvi zvigadzire madhibhodhi, kubvisa zviono, uye kuongorora ad hoc.
Kubva padiki kutanga kusvika kumakambani makuru, marudzi ese emasangano anoda uku nyore kushandisa.
Pricing
Mutengo wekutanga wepuratifomu unotanga kubva kumadhora gumi / mwedzi unobhadharwa pagore.
10 QlikSense
Qlik Sense ndeyese-inosanganisirwa analytics uye data yekutsvaga chikuva inoshandura nzira yaunoshanda nayo nedata.
Iwe unogona kuenzanisira, kubata, uye kuratidza data uchishandisa yayo yekucheka-kumucheto interface, pamwe nekugadzira inosanganisirwa data nhoroondo.
Injini yayo yekuvandudza yeasociative ine shanduko nekuti inoita kuti uongorore data nenzira dzisingagoneke nemutsara, mubvunzo-based data analysis.
Izvi zvinoreva kuti iwe unogona kuenda kure mune yako data uye wotsvaga manzwisisiro angadai asina kuonekwa neimwe nzira.
Panyaya yekushanda, Qlik Sense inobatanidza nehuwandu hwemashoko e data, kusanganisira SAS, Salesforce, Facebook Insights, Snowflake, nezvimwe, nekuda kwezvibatanidza zvine simba.
Uhu hwakakura hwekubatanidza hunoita kuti zvive nyore kuunganidza data kubva kumapuratifomu mazhinji, zvichivimbisa kuti une ruzivo rwakakwana rwekuongorora.
Maitiro ako ekuongorora data anokwenenzverwa nekuita kwepuratifomu uye data manejimendi maficha, ayo anosanganisira asociative njere uye AI-inobatsirwa data sangano.
Kunyangwe mamwe magadziriso angangoda kutengwa akaparadzana, Qlik Sense inovhara anenge ese maficha eiyo analytics lifecycle. Chimwe chinhu chakakosha cheQlik Sense kuve nyore kwayo kudzidza.
Kunyangwe iyo curve yekudzidza yakakwira zvishoma pane yemamwe maturusi, chinonyanyoita kuti ibude pachena kugona kwayo kwakaoma.
Kunzwisisa kugona kwepuratifomu kunofanirwa kuve kwakapusa kune vanhu vane kumashure mukati data science.
Qlik Sense yakashandiswa zvakabudirira mumamiriro akasiyana ekushandisa. Nekutevera ruzivo rwakaoma mukutengesa maodha, zvinhu, uye kudyidzana kwevatengi, mabhizinesi anoishandisa kune dashboards ane chekuita nekutengesa uye kutenga.
Mabhizinesi anogona zvakare kusanganisa akakura mavhoriyamu ekubika data kubva kumapuratifomu mazhinji uye masisitimu.
Masangano anosarudza kuishandisa sechishandiso chavo chekugadzira Qlik maapplication nekuda kwekureruka kwekushandisa uye kutsigirwa kweBI mashandiro.
Basa rayo risingaenzaniswi rinorumbidzwa zvikuru, kunyanya nzira iyo inoratidzira data yakasiiwa kubva pakuongorora kuwedzera kune data yakacheneswa.
The user interface, dhonza & kudonhedza mashandiro, uye kugona kwekuona data kunokosheswa nevashandisi.
Pricing
Mitengo yepamusoro yepuratifomu inotanga kubva kumadhora makumi maviri mushandisi / mwedzi unobhadharwa gore rega.
mhedziso
Mukupedzisa, basa reAI mukugadzirisa data rakura zvakanyanya pakati peshanduko yedhijitari inofananidzirwa nespike isingaenzaniswi mukubuda kwedata, kubva kuzvinhu zvakaoma zvesainzi kusvika kukudyidzana kwesocial media.
Kuputika uku kwakaisa nzira dzekuongorora data pabvunzo, izvo zvinoda kuwedzera kuwanda maturusi ekutora ruzivo rwehungwaru kubva kune yakawanda data.
Iyi posvo inoongorora ndima yeAI data yekuongorora mapuratifomu, ichisimbisa zvese zviri zviviri shanduko inogona uye yepamusoro gumi mapuratifomu anotarisirwa kuve akakosha panosvika 10.
Athenic AI, Mhinduro Rocket, Julius AI, Polymer, Qlik Sense, Hal9, Viable, Chart Pixel, AI Consulting Tools, Graphy, uye Athenic AI mamwe emapuratifomu anopa akasiyana maficha uye mashandiro.
Izvo zvinosanganisira chero chinhu kubva pakuvandudza kuona kwedata uye kuita kuti ongororo inoswedere pedyo nekubatanidza iyo-ye-iyo-iyo-hunyanzvi AI matekinoroji ekuongorora kwakadzama data uye kuvandudza kwenjere.
Aya mapuratifomu ari kushandura nzira iyo data inodzidzwa uye inoshandiswa mukuita sarudzo mumaindasitiri mazhinji. Ivo vanoshanda kune zvakasiyana siyana zvinodiwa, kubva kuhungwaru hwekambani uye tsvakiridzo yemhinduro yevatengi kune kutengesa uye kushambadzira analytics.
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