Zviri Mukati[Viga][Ratidza]
Denda ririkuenderera mberi rakawedzera basa riri kure uye maturusi anoritsigira sezvaasati amboita. Zoom, semuenzaniso, yakawedzera kukosha zvakapetwa kaviri.
Nekudaro, kufambira mberi kwetekinoroji hakuna kukurumidza mukugonesa vanoongorora data uye data masayendisiti kuti vabatane munguva chaiyo.
Einblick, yekutanga Massachusetts-yakavakirwa, anotarisira kugadzirisa izvo.
Einblick is interactive analytics whiteboard inoita kuti vashandisi vaongorore yavo data zvinoonekwa, gadzira mhando, uye ita sarudzo dzinofambiswa nedata seboka.
Interactive data analytics ndeyechokwadi-nguva analytics yekuwedzera iyo inoshandisa musanganiswa weakaparadzirwa dhatabhesi masisitimu uye kupa hunyanzvi kukurumidza kuita analytics maitiro uye kubvumira vashandisi kutora mukana weanalytical kugona kweBusiness Intelligence tekinoroji.
Kubva pamakore matanhatu ekudzidza paMIT neBrown University, tekinoroji yayo inobatsira vashandisi kukunda matambudziko ane chekuita nekutaurirana kure.
Ngatiiongororei zvakadzama!
Chii Einblick?
Einblick ishandiso yekuongorora yakavakirwa pabhodhi chena inobvumira zvikwata nekukurumidza kuongorora zvakapfuura, kutarisira ramangwana, uye kuita sarudzo dzakanakisa dzinofambiswa nedatha yebhizinesi ravo.
Inopa mhinduro imwechete iyo inosanganisira yakazara suite yezvishandiso uye matekinoroji ekuita analytics mashandiro, kubva pakucheneswa kwedata uye shanduko kuburikidza nekuvaka modhi uye chii-kana kuongorora.
Nekuda kweiyo yakapfava mushandisi interface, yekucheka-kumucheto otomatiki muchina kudzidza, uye yakasarudzika data migodhi kugona, vashandisi havadi tekinoroji yekumashure kuita ongororo yakaoma.
Inoita otomatiki mashandiro anotora nguva uye akaoma, achibvumira chero munhu kuti aongorore data ravo uye kuwana ruzivo runobatsira.
Sei kushanda?
Pane zvinhu zviviri zvakakosha zveEinblick:
- Einblick Application
- Einblick Container
Einblick Application
A Kubernetes cluster inobata Einblick midziyo. Yayo yakachengeteka mushandisi yekusimbisa sisitimu inosimbisa yega yega chikumbiro chemushandisi.
The mutoro balancer inogovera application kumudziyo kana mushandisi akabatana nawo. Iyo midziyo yakafanana replicas inochengetwa yakabatana neyepakati MongoDB dhatabhesi.
Kana mushandisi akagadzirisa nzvimbo yake yekushandira, MongoDB inogadziridza uye inoparadzira ruzivo rutsva kune ese makopi, ichigonesa kubatana-chaiyo-nguva.
Zvakakodzera kutaura kuti, nekuti nzvimbo yebasa uye computation yakaparadzaniswa, vashandisi vanowirirana vanogona kuita mabasa munzvimbo imwechete yekushanda ichimhanya pamidziyo yakasiyana uku ichigonesa kuwiriranisa uye kufanana.
Einblick Container
Mumidziyo yeEinblick, mitoro yebasa inoitwa. Einblick's inofambira mberi computation injini, Davos, inoshanda mukati medhata hova uye inobvumira kumhanyisa kumhanya kwechishandiso.
Kana mushandisi apihwa mugaba, basa rega rega rinotumirwa kuDavos, iyo inotanga kudhonza data kubva kune yakasarudzwa data sosi.
Pese pazvinogoneka, inosundidzira mamiriro emuenzaniso pasi kune inodzika data sosi.
Zvikasadaro, ichaongorora iyo data uye kuverenga sampu reservoir pamusoro peiyo data sosi. Wese anoshanda anoshanda pane data hova, uye vatengi vanowana akagadziridzwa makopi ezvinobuda basa pese apo mushandisi anoita pamusoro pebatch.
Kana mhedzisiro yebasa ikatemwa, Montana inogamuchira makopi matsva emhedzisiro yebasa ipapo.
Montana ndiyo Einblick's middleware layer, inotarisira kuchengetedza ruzivo rwekushandisa/nzvimbo yebasa, ichigonesa kubatana kuwiriranisa nzvimbo yebasa kune vashandisi vese (MongoDB), uye kuendesa mhedzisiro yebasa kuLaax, kumberi kwayo.
Pakupedzisira, Laax ndiyo Javascript kodhi inoratidza mhedzisiro yeDavos mubrowser yemushandisi.
Chii chinonzi Einblick Analytics?
Einblick inogonesa zvikwata kuti zvishandise advanced data analytics kuti ishumire akasiyana ekuita sarudzo uye hurongwa hwekuronga maitiro:
Inotsanangurwa Analytics
Data inogona kushandiswa kudzidza nezve zvakaitika kare. Kune iyi fomu yekudzidza, zvechinyakare BI maturusi (machati, madhibhodhi, uye anodyidzana analytics) anowanzo shandiswa.
Asi, kune chizvarwa chitsva cheBI maturusi (akadai saSisu) anoshandisa muchina kudzidza kubatsira vanoongorora kufamba-soro-dimensional data seti.
Aya maturusi matsva anosimbisa akakosha madhiraivha, tsvaga maitiro, uye kunyange kurudzira machati. Ivo vanogona kufumura otomatiki mapatani uye akakosha madhiraivha mukuwedzera pakupa yakanyanya simba interface yekuvaka data kuona.
Nekudaro, kana iwe uchida kuyera KPIs munguva chaiyo, iwe unozoda yekutarisa sisitimu, senge Einblick, iyo inogadziridza data uye kutumira zviziviso.
Kufanotaura Ongororo
Shandisa data kugadzira mienzaniso yekufungidzira. Kufanotaura uye churn modhi mienzaniso yakakurumbira munzvimbo ino.
Asi hapana here (autoML) maturusi anotendera vanhu vasiri tekinoroji kugadzira modhi?
Zvishandiso zvakadaro zviripo - funga KNIME, Rapid Miner, uye Alteryx - asi mazhinji acho anoshanda nekudzokorodza injini dzekufambiswa kwemabasa: data inopinda, iwe unoshanda kumwe kushanda, uye zvinobuda zvinopihwa kune mumwe anoshanda.
Unogona kubvunza kana kufambiswa-kunge UI yakakwana. Mushure mekuyedza nekutanga kudzokororwa kwayo, ini ndinotenda yavo mushandisi interface iri nani mutambo wevasiri-tekinoroji.
Einblick inobvumira vashandisi kugadzira uye kugovera mienzaniso yekufungidzira, pamwe nekubatanidza uye kugadzirisa akawanda data seti.
Zvakatonyanya kukosha, vashandisi vanogadzira zvishoma nezvishoma mamodheru uye maapplication edatha vachishandisa inoyevedza interface inovatendera kusanganisa zvinoonekwa, modhi, uye kuongororwa kwedata.
Zvinyorwa Zvinyorwa
Iwe unogona kugadzira chii-kana, mamiriro, kana simulations uchishandisa data uchishandisa Einblick.
Inogona zvakare kukubatsira kuti unzwisise kukosha kweakakosha akasiyana uye anofanotaura, pamwe nekuvaka uye kuongorora mamiriro. Zvishandiso zvepamberi senge Monte Carlo simulation ichaverengerwa munguva pfupi.
Ndiani anogona kushandisa chikuva?
Pasinei nechikamu chako, bhizinesi, kana basa, rinogona kukubatsira kuita sarudzo dzinofambiswa nedata nekukurumidza. Zvimwe zvacho zvakanyorwa pasi apa:
1. Kugadzira
- Chigadzirwa chinodiwa kufanotaura.
- Predictive kuchengetedza.
- Gadzirisa mitsara yekugadzira vashandi.
2. Inishuwarenzi uye Banking
- Models dzinofanirwa kuvandudzwa nekukurumidza kuti dzipindure kune zviri kuitika.
- Gadzira nzira yekushambadzira inoenderana nezvinodiwa nevatengi.
- Kuvandudza kuwanikwa kwevatengi.
3. Energy sector
- Ongorora kukanganiswa kwechirimwa kwezvakatipoteredza.
- Ziva zvinokanganisa network yekuparadzira.
- Chengetedza mafambisirwo ezvigadzirwa zvekugadzira uye zvekubvisa zvidyarwa.
4. Chikamu chehurumende
- Verenga kukanganisa kwemitemo yeramangwana.
- Kubata kwechirongwa kunofanirwa kuyerwa.
- Ita zvisarudzo zvinotungamirirwa nedata.
5. Healthcare sector
- Muzviitiko zvekutambudzika, fungidziro yehuwandu.
- Wedzera kutarisisa njodzi.
- Nekukurumidza prototype yekugamuchira njodzi mhando.
6. Retail sector
- Kuvandudza mishandirapamwe yekushambadzira.
- Gadzirisa huwandu hwevashandi uchishandisa Covid-19.
- Forecast kudiwa pakati pekuchinja mamiriro emusika.
Key Features
- Kuona Dhiyabhorosi Frames -Shandisa Python data mafuremu 'yakazara kugona kugadzirisa data uye kupindirana neakati wandei dataset pachiratidziro chimwe.
- PaMahara-Form Canvas, Visual Analytics -Kukurumidza kudzokororwa pakati pekurodha, kuchenesa, kushandura, kuratidza, uye modhi data pane isina muganho yemahara-fomu canvas inotsigirwa.
- Interactive Machine Kudzidza -Gadzira ML modhi uchishandisa Einblick's mubairo-kuhwina inopindirana AutoML chishandiso uchichengetedza kutonga pamusoro peiyo modhi chaiyo.
- Optimization -Gadzirisa izvo zvakakosha kukambani yako, uye ubate kutengeserana kunouya nemamwe akasiyana zviito.
- Collaboration -Inobvumira mu-munhu uye kure kubatana nevanoshanda navo mukamuri imwechete. Yakagadzirirwa desktop browsers pamwe nepeni uye yekubata interfaces.
- Easy Cloud Deployment -Iyo inofambiswa zviri nyore mune yeruzhinji kana yakavanzika gore uye inobatanidza neyako iripo yekuchengetedza uye dhatabhesi system.
- Kubvuma sanduko - Batanidza yako wega Python mabasa seatsva ekuona vashandisi, uchiita kuti awanikwe kune yako timu yese kana mubatanidzwa.
- Statistical Safety Nets -Mubatsiri wenhamba anorerutsa maitiro ekusarudza iyo yakakodzera nhamba bvunzo yedata rako.
Kutanga neEinblick
1. Kupinda
Paunotanga Einblick, iwe unozokurudzirwa ne login screen.
2. Main Menyu
Iwe unozotumirwa kuMain Menu mushure mekupinda mukati.
Zvikamu zvakaratidzwa pamusoro zvinokurukurwa zvakare pasi apa.
Wedzera Bhatani Idzva
Nzira yekutanga yekuwedzera zvinhu zvitsva kuburikidza ne Wedzera Mutsva bhatani. Paunodzvanya pairi, menyu yesarudzo inodonongodza zvinhu zvaunogona kuwedzera inooneka, sezvinoonekwa pamufananidzo uri pazasi.
Item Tabs
Iwe unogona kuwana akawanda marudzi ezvinhu zvinowanikwa muEinblick nekudzvanya pane akasiyana echinhu ma tabo.
Semuenzaniso, kushanyira nzvimbo dzebasa tebhu inoratidza nzvimbo dzese dzebasa dzaunokwanisa kuwana. Ndapota ramba uchifunga kuti zvigadzirwa zvausingakwanise kuwana hazviratidzwe pano.
Inosanganisira:
- Recent
- Files
- Data
- Operators
- Users
Bhara rekutsvaga, rinotsanangurwa pazasi, rinogona kushandiswa kusefa zvinhu zvinoratidzwa.
Tsvaga Bhar
Bhara rekutsvaga rinowedzera kuratidza chero zvinhu zvichangobva kushandiswa, mibvunzo ichangoburwa, uye ma tag ari kuoneka kana iwe ukadzvanya pairi (zvinotsanangurwa mberi pazasi).
Mumibairo yekutsvaga, chero chinhu chine zita rinoenderana kana tag chinobuda.
Main Menu Zvinhu
Mumenu huru, chinhu chimwe nechimwe bhokisi rinomiririra chaunogona kudyidzana nacho. Unogona kuendesa zvinhu izvi kumwe kunhu mumenu huru kana uchida kuzvibatanidza nezvimwe zvinhu.
Zvinhu zvinogona zvakare kubatanidzwa nesarudzo, iyo inowanikwa uchishandisa katatu-dot menyu, sezvakaratidzwa mumufananidzo uri pazasi.
3. Isa Dataset
Inotsigira zvakasiyana-siyana zve data data, zvichikubvumira kuti uwane data yako pasinei nokuti inorara kupi. Nzira iri nyore yekutanga ine CSV faira, asi unogona zvakare kuongorora Tanga nekudzvanya:
- Wedzera mutsva
- Datasets
- Isa CSV faira
- Kurumidza kurodha
Yako CSV faira ichaonekwa mu data seti nzvimbo yemenyu huru mushure mekunge yaendeswa kune system.
4. Gadzira nzvimbo itsva yekushanda
Kuti utange kuongorora data rako, unofanirwa kutanga wavaka nzvimbo yekushandira uye woibatanidza kune yako dataset. Nhamba yekupokana yedatasets inogona kupetwa nenzvimbo yega yega yebasa.
Click wedzera nyowani uyezve nzvimbo yekushanda kugadzira nzvimbo itsva yekushandira.
Munzvimbo yekushanda tab, nzvimbo itsva yekushanda ichawedzerwa, uye paniti iri kurudyi ichapa ruzivo rwakabatana nenzvimbo yebasa.
Dhonza chiratidzo chedataset kubva kune datasets tebhu kunzvimbo yedataset yenzvimbo yebasa kuti uisanganise nayo.
Kuti uwane nzvimbo yekushandira, tinya museve icon pane iyo icon kana bhatani rakavhurika kumusoro kwepaneru yayo. Iwe unogona zvakare kuwedzera iyo dataset kune yebasa nzvimbo mushure.
5. Pakupedzisira, shandisa nzvimbo yekushanda
Nzvimbo yekushandira i canvas inopindirana pauri iwe yaunogona kuisa zvine graphic data yekuongorora, pamwe nekuita kuchera data, uye yekufungidzira modhi zviitiko.
Pricing
Iwe unogona kutanga kushandisa saiti neiyo Basic hurongwa, iyo yakasununguka zvachose uye ine plethora yezvinhu. Inopawo zvirongwa zviviri zvekutanga, izvo zvakatsanangurwa pazasi:
- Pro: $ 45 / mushandisi / mwedzi (inobhadharwa pagore).
- Bhizinesi: Bata Einblick timu yemitengo yetsika.
zvayakanakira
- Kuvandudza mashandiro ekuongorora.
- Mamodheru akavandudzwa uye nekukurumidza kunzwisisa
- Citizen data sainzi inogoneswa.
nezvayakaipira
- Vamwe vanhu vangawana kubasa kusingafadzi.
mhedziso
Kupfupisa, democratizing prescriptive analytics inoda shanduko yakakosha mumabatiro anoita vanhu nedata.
Einblick ndiyo yekutanga yekuona data data papuratifomu, ichibatanidza iwo makuru maficha ekuyerera-centric AI zvishandiso uye kuona-centric BI zvishandiso.
Yakagadzirwa kubva pasi zvichikwira kuti ifambise kubatana, kungave kure kana mu-munhu, ichibvumira zvikwata kuita sarudzo dzinotungamirwa nedata.
Edza uye ugovane pfungwa dzako nesu.
maka
Ndanyora zvakanaka, Jay. Ndakangosangana neizvi pakuedza kuziva nezveEinblick.