1. Sumo
1.1. Boka remakambani eDeriv rakazvipira kuchengetedza ruzivo rwenyu rwemunhu uye kuremekedza zvakavanzika zvenyu. Mutemo uyu weZvakavanzika unotsanangura mashandisirwo edu ekuunganidza, kushandisa, kuchengetedza, kuzivisa, nekudzivirira ruzivo rwemunhu pamasangano ose eDeriv uye maererano nezvigadzirwa zvedu, masevhisi, mapurogiramu, nemawebhusaiti. Patinotaura kuti “tiri”, “isu”, kana “yedu” muMutemo uyu weZvakavanzika, tinoreva sangano rakasarudzika mukati meboka reDeriv rinoona nezvekugadzirisa ruzivo rwenyu rwemunhu, kazhinji sangano reboka reDeriv ramunoshandidzana naro mubhizinesi kana rinokupai masevhisi (sezvakatsanangurwa muchikamu che “Mutungamiriri wedata uye ruzivo rwekubata” pazasi).
1.2. Mutemo uyu weZvakavanzika unoshanda kuvatengi vazvino nevanotarisirwa, vashanyi vewebhusaiti, vashandidzani vebhizinesi, vanopa masevhisi (nevashandi vavo), vatori vechikamu muzviitiko, vashanyi vemahofisi edu, uye chero munhu anoshandidzana nezvigadzirwa zvedu, masevhisi, mapurogiramu emafoni, mapuratifomu, kana njanji dzedhijitari, pasinei nenyika yavanogara. Mutemo uyu weZvakavanzika haushandi kune vanotsvaga mabasa kana vashandi veboka reDeriv.
1.3. Tinogadzirisa ruzivo rwenyu rwemunhu satinotungamiriri, maererano nemitemo inoshanda, inogona kusanganisira European Union General Data Protection Regulation (GDPR), United Kingdom General Data Protection Regulation (UK GDPR), nemitemo yezvakavanzika imwe inoshanda (“Mitemo yeZvakavanzika”).
2. Mhando dzeruzivo rwemunhu
2.1. Zvichienderana neukama hwamunaro nesu, tinogona kuunganidza nekugadzirisa rimwe kana akati wandei emhando dzeruzivo rwemunhu, dzakaita se:
2.1.1. Ruzivo rwezita: Zita rekutanga, zita rekudzimba, bonde, unyika, zuva rekuzvarwa, uye/kana magwaro ekuzivisa anobviswa nehurumende (kusanganisira mapasipoti, mazvendesi ekutyaira, maID enyika, uye/kana mapermit ekugara).
2.1.2. Ruzivo rwekubata: Kero yepositi, kero yeemail, uye/kana nhamba yefoni.
2.1.3. Ruzivo rwebasa: Zita rebasa, zita remubereki webasa, basa, nzvimbo dzemutoro, uye/kana mubhadharo.
2.1.4. Ruzivo rwepaunogara, kusanganisira zvibvumirano zvekuhaya/kurenda, magwaro emhiri, uye mabhiri emagetsi/mvura.
2.1.5. Ruzivo rwekutaurirana: Zvinyorwa zvekutaurirana (maemail, live chat, kutaurirana kunobatsirwa neAI, kurekodhwa kwemafoni nemarekodhi, maonero, uye/kana mhinduro dzekuongorora musika).
2.1.6. Ruzivo rwemasevhisi: Ruzivo rwe-akaundi kana rwekukumbira, nhoroondo yekutengeserana kana mabhizinesi, zvibvumirano, zvinodiwa, uye/kana marekodhi ekushandisa.
2.1.7. Ruzivo rwemupi wemasevhisi: Ruzivo runotsinhanwa samupi wemasevhisi kana mushandidzani (ruzivo rwezvibvumirano uye/kana manotsi emisangano).
2.1.8. Ruzivo rwemushanyi: Ruzivo rwekushanya hofisi (marekodhi ekupinda, zuva/nguva nechinangwa chekushanya, uye/kana zvinodiwa zvakasarudzika zvakazivisa).
2.1.9. Ruzivo rwemvumo: Mvumo dzakapiwa/dzakadzoswa, cookies, uye/kana mvumo nezvinodiwa zvekushambadzira.
2.1.10. Ruzivo rwekubhadhara: Kero yebhiri, ruzivo rwekubhadhara, akaundi yebhanga, nzira yekubhadhara, uye/kana nhoroondo yekubhadhara.
2.1.11. Ruzivo rwekushandisa: Kutengeserana kwamunoita paakaundi yenyu, mashandisiro enyu emapuratifomu edu akasiyana nezvigadzirwa, kana mashandidzano enyu nemawebhusaiti edu, mapurogiramu, kushambadzira, nekutaurirana.
2.1.12. Ruzivo rwedhijitari: Semuenzaniso, kero yeIP, ruzivo rwenzvimbo (kusanganisira GPS uye geolocation), ruzivo rwedivaisi nebrowser, uye/kana ruzivo rwekuchengetedzeka (senzira yamunopinda kana kuzvisimbisa kuti mupinde muakaundi yenyu).
2.1.13. Ruzivo rwekusimbisa: Humbowo hwekero, chikonzero chepfuma, uye/kana chikonzero chemari.
2.1.14. Ruzivo rwebiometric: Ruzivo runogadzirwa kuti ruzivise munhu akasarudzika, senge kuzivikanwa kwechiso kana manzwi. Mamwe mafoto, mifananidzo, kurekodhwa kwemanzwi, kana vhidhiyo, zvinogona kuva ruzivo rwebiometric kana zvagadzirwa nechinangwa chekuzivisa munhu.
2.1.15. Ruzivo rwekutora chikamu muzviitiko: Ruzivo rwekunyoresa muchiitiko, kupinda, uye/kana kutora chikamu.
2.1.16. Zvimwe: Chero ruzivo rumwe rwamunopa, kana rwatinotarisirwa nemutemo kuunganidza, kana rwune hukama nezvatinoita mubasa redu.
3. Ruzivo rwemunhu rwakakosha
3.1. Kunze kwekunge takumbirwa pachena nesu kana zvichidiwa nemutemo, musatipe kana kuzivisa chero ruzivo rwemunhu rwakakosha kwatiri, kusanganisira kuburikidza nemawebhusaiti edu, mapurogiramu, kana njanji dzimwe. Zvichienderana nenyika yenyu, “ruzivo rwemunhu rwakakosha” rinogona kusanganisira, asi harisi kuganhurirwa pane, ruzivo runobatana nerudzi rwenyu kana unyika, zvitendero kana pfungwa dzezvematongero, mazano ezvematongerwo enyika, kuva mutizha mubato remabasa, hutano, ruzivo rwegenetic kana rwebiometric, unyanzvi hwepabonde, nhoroondo yemhosva, kana zvimiro zvemutemo kana matare uye zvarovedzwa.
3.2. Kana tichida kuunganidza kana kugadzirisa ruzivo rwemunhu rwakakosha, tichaita izvi chete maererano neMitemo yeZvakavanzika inoshanda uye chete patine chikonzero chemutemo chakasimba, senge mvumo yenyu yakatsanangurwa pachena, kuteerera mutemo, kana sezvinodiwa pakumisikidza, kushandisa, kana kudzivirira zvikumbiro zvemutemo.
4. Zvinobva ruzivo rwemunhu
4.1. Tinogona kuunganidza ruzivo rwenyu rwemunhu mumamiriro aya anotevera kubva:
4.1.1. Kwamuri pachenyu: Pamunoshandidzana nesu, kunyoresa, kutaurirana nemapoka edu, kupinda muzviitiko, kana kushanya mahofisi edu;
4.1.2. Mawebhusaiti/mapurogiramu edu: Pamunoshandisa zvigadzirwa zvedu nemasevhisi, kushandidzana nemawebhusaiti edu, mapurogiramu kana kutaurirana nesu, semuenzaniso, kuburikidza nemafomu, cookies, kana marekodhi ekushandisa;
4.1.3. Zviridzwa zvinoshandiswa neAI: Pamunoshandidzana nezviridzwa zvinobatsirwa neAI zvinoitwa zviwanikwe naDeriv, senge Amy, mubatsiri wedu wekutaurirana weAI, kana mafoni/kutaurirana kwenzwi kunobatsirwa neAI. Izvi zvinosanganisira zvinyorwa zvekushandidzana kwenyu (kusanganisira kurekodhwa kwenzwi), chero ruzivo rwemunhu rwamunopa, uye ruzivo rwehunyanzvi hwakabatana (senge zviziviso zvesesheni nenguva);
4.1.4. Vemutatu: Kusanganisira vashandidzani vebhizinesi, vanopa masevhisi, vatungamiriri vehurumende, kana dhatabhesi dzekusimbisa;
4.1.5. Zvinobva pachena: Senge zvinyorwa zvevatongi kana dhatabhesi dzinowanikwa pachena;
4.1.6. Zvinogadzirwa naDeriv ega: Mukupa kwedu masevhisi (semuenzaniso marekodhi emisangano, kurekodhwa kwemafoni, marekodhi emafoni) kana nekugadzira ruzivo rwakadzama kana rumwe ruzivo rwamuri pamunenge tichiongorora ruzivo rwatinogara tine; uye/kana
4.1.7. Zvikumbiro zvisingaperi zvekuwana ruzivo: Seimwe nzira yekuramba tichitevedzera mitemo, kuongorora kwakadzama, uye kuchengetedza kuvimbika neutsvene hwemasevhisi edu, tinogona kukumbira kuti mupe dzimwe ruzivo rwemunhu pachake kana magwaro anotsigira chero nguva panguva yekushamwaridzana nesu.
5. Hwaro hunotenderwa nemitemo nezvinangwa
5.1. Tinoshandisa ruzivo rwenyu rwemunhu pachake tichine mvumo yenyu kana chikonzero chinotenderwa nemutemo chekuzvishandisa. Zvikonzero izvi zvinogona kusanganisira:
5.1.1. Kushandisa ruzivo rwenyu rwemunhu pachake kuti titevedzere mutemo, kusanganisira zvinodiwa pakupiwa laisenzi, zvinodiwa pakudzivirira unyengeri, uye mitemo yekurwisana nekuchenesa mari;
5.1.2. Kushandisa ruzivo rwenyu rwemunhu pachake kuti tipinde mukana kana kuita chibvumirano chatinayo nemi;
5.1.3. Kutevedzera zvido zvedu zvebhizimusi zvakatendeswa nemutemo; uye/kana
5.1.4. Kumisikidza, kushandisa, kana kudzivirira kodzero dzedu dzemutemo.
5.2. Tinogona kushandisa ruzivo rwenyu nezvinangwa zvinotevera:
5.2.1. Kutarisirwa kwemutengi nekutongwa kweakaundi;
5.2.2. Kupa masevhisi, kuita kutengeserana, nekutarisira matrasekisheni;
5.2.3. Rubatsiro rwesevhisi yevatengi kuti rubetsere kutaurirana nekugadzirisa zvichemo kana nharo;
5.2.4. Kutarisira vapatners;
5.2.5. Kuongorora kwakadzama kwevatengi, nzira dzeKnow Your Customer (KYC), matanho ekudzivirira unyengeri, mabasa ekurwisana nekuchenesa mari (AML), uye kuongorora kwemasanctions;
5.2.6. Chengetedzo nekudzora mapindiro, chengetedzo yesaiti, uye kugadzirisa unyengeri unofungidzirwa kana wakaitika, mabasa asiri emutemo, kana mufambiro usina kunaka;
5.2.7. Zvinangwa zvekushambadzira nekuongorora, zvinogona kusanganisira kuita ongororo, kuyera kugutsikana kwevatengi, nekuunganidza mavonero avo;
5.2.8. Kuvandudza zvigadzirwa zvedu nemasevhisi, kuita mabasa ekuongorora nekusimudzira, kuita ongororo yezvakaitika kuvashandisi, uye kuunganidza ruzivo rwebhizimusi;
5.2.9. Zviitiko, webinars, zvidzidzo zvekudzidzisa, uye hurongwa hwekudzidza;
5.2.10. Mari, treasury, accounting, uye kugadzirisa kubhadhara;
5.2.11. Kutarisirwa kwevasupplier nevemutatu;
5.2.12. Kutonga njodzi, kudzivirira nekuwana mhosva, ongororo yemukati, kutongwa kwemabhizimusi, uye mabasa ekugadzirisa;
5.2.13. Kushandisa webhusaiti yedu, maapplication, nemapuratifomu, pamwe nekutsigira IT nechengetedzo, uye kuedza kana kusimudzira masystem;
5.2.14. Kutevedzera mutemo, kutarisira nharo kana kudzivirira zvichemo zvemutemo, kuchengeta mabhuku, uye kudzivirira zvido zvedu zvakatendeswa kana kodzero dzemutemo, kusanganisira kutora uye kupindura kuita kwemutemo kana kuita zvichemo zvemainshuwarenzi;
5.2.15. Kubatana, kutenga, kutengesa, kuendesa midziyo, kugadziridza patsva, kana kusakwana kwebhizimusi redu rose kana chikamu chacho, kusanganisira kuongorora kwakadzama kunoenderana nazvo;
5.2.16. Kugadzirisa zvikumbiro zvenyu kana kukubatsirai kushandisa kodzero dzenyu;
5.2.17. Kugadzira nekuparadzira zvinyorwa zvekunzwa, zvevhidhiyo, kana zvimwe zvinyorwa zvenhepfenyuro;
5.2.18. Chero chimwe chinangwa chinodiwa kana chakabvumidzwa nemutemo, mitemo, zvirevo zvemagariro akanaka, kana murairo wedare; uye/kana
5.2.19. Kudzidza kwemashini nekushandiswa kunozviita kwega, kusanganisira kushandisa ruzivo rwemunhu pachake kudzidzisa, kusimudzira, nekuvandudza algorithms, mamodheri, kana masystem ezvakachenjera (AI), nechinangwa chekusimudzira masevhisi edu, kudzivirira unyengeri, kutonga njodzi, nemabasa ebhizimusi. Patinoshandisa vapi vemasevhisi veAI vemutatu kuti vashandise zvigadzirwa nemasevhisi edu, ruzivo rwenyu rwemunhu pachake rungave rwunogadzirwa nevapi ivavo kuti vadzidzise kana kuvandudza mamodheri avo akajairika.
5.3. Munobvuma kuti tinoshandisa zvishandiso zvinoshandiswa neAI, kusanganisira (asi zvisingaperereki pa) Amy, mubatsiri weAI wekutaurirana aripo pawebhusaiti yedu nemaapplication edu, uye mafoni anobatsirwa neAI mukutaura. Pamunoshandisa Amy kana zvimwe zvishandiso zvekutaurirana zvinobatsirwa neAI kana mafoni, zvinhu zvemukutaurirana kwenyu (kusanganisira chero zvinyorwa zvenzwi) uye chero ruzivo rwemunhu pachake rwamunopa runogona kugadzirwa nesu, uye panodikanwa, nevapi vemasevhisi veAI vemutatu vanoshanda sevagadziri patinenge tavatuma.
5.4. Muchaziviswa pachena kana tichivimba nemvumo yenyu, uye munogona kudhonza mvumo yenyu chero nguva.
6. Kuratidzwa kweruzivo rwemunhu pachake
6.1. Tinogona kugovana ruzivo rwenyu rwemunhu pachake nemapoka anotevera evanogashira, pazvinenge zvakakodzera uye zvichidikanwa kuzadzisa zvinangwa zvinotsanangurwa muPolicy iyi yeChivanzviri, uye zvichienderana nehwaro hunotenderwa hunoenderana nazvo:
6.1.1. Mamwe makambani ari mukati meboka reDeriv;
6.1.2. Vamiririri, vanogadzirira zvinhu, vasupplier kana vapatners vemasevhisi, kusanganisira vepaIT, cloud, vapi vemasevhisi veAI technology, web-hosting, ongororo, kuzadzisa, vapi vezvinyorwa, rutsigiro rwevatengi, mapuratifomu ekutaurirana nevapi vemasevhisi ekutakura zvinhu;
6.1.3. Vanogadzirisa kubhadhara, mabhanga, nemasvikiro emari kuti vagadzirise matrasekisheni;
6.1.4. Vatongi, matare, vechitendero chemutemo, mitero, kana zvimwe zvinzvimbo zveveruzhinji sezvinodiwa nemutemo kana kudzivirira kodzero dzedu;
6.1.5. Vapi vezano reruzivo, kusanganisira mainshuwarenzi, magweta, maauditor, nemaaccountant, kuti bhizimusi rirambe richifamba, kutonga njodzi, kana mukati menyaya dzemutemo kana zvichemo;
6.1.6. Vapatners vebhizimusi;
6.1.7. Vapatners vezviitiko kana vekushambadzira, maadvertising network, vapi vemasevhisi eongororo, uye mapuratifomu emagariro, sezvinoenderana nekushambadzira, kugadzira zvigadzirwa, kana kutora chikamu muzviitiko;
6.1.8. Nemvumo yenyu yakajeka, kune vemutatu vamunotiudza kuti tigovane ruzivo rwenyu navo; uye/kana
6.1.9. Vemutatu vamwe veDeriv vanotenderwa kana vanodikanwa nemutemo, mitemo, zvirevo zvemagariro akanaka kana murairo wedare kuti varatidze ruzivo.
6.2. Tinoda kuti vemutatu vose vanogadzirisa ruzivo rwenyu rwemunhu pachake pachinzvimbo chedu vape chengetedzo yakakodzera, vatevedzere mutemo unoshanda, uye vape chengetedzo inoenzana kana kudarika iyo yakatsanangurwa pano.
7. Kutamiswa kweruzivo kunyika dzakasiyana
7.1. Boka reDeriv rinoshanda pasi rose rine mahofisi, vapatners, uye vapi vemasevhisi vari munyika dzakasiyana, kusanganisira muEuropean Economic Area (EEA), United Kingdom, Asia, Africa, Latin America, nematunhu mamwe. Nekuda kweizvi, ruzivo rwenyu rwemunhu pachake rungagadzirwa kana kutamiswa kuenda kunyika dziri kunze kwenyika yamunogara—kusanganisira nyika dziri kunze kweEEA kana UK—dzingasave dzine chengetedzo yakaenzana neiyo iripo munyika yenyu.
7.2. Apo dhata revanhu riri pasi peGDPR, UK GDPR, kana mamwe Mitemo yePrivacy inoshanda rinotumirwa kunyika isina kuwanikwa kuti ine chengetedzo yakakodzera yedhata, tichaita matongero akakodzera maererano nezvinodiwa nemutemo zvinoenderana nenyaya iyi. Matongero aya anogona kusanganisira Standard Contractual Clauses dzakabvumidzwa neEuropean Commission kana hurumende yeUK, zvisarudzo zvekuenderana, dzimwewo tsvagiridzo dzekuongorora mhedzisiro yekutumira, uye matongero ewedzero ematekinoroji neesangano, sezvinodiwa, kuti dhata renyu rinoramba riri rakachengetedzwa.
8. Kuchengetedzwa kwedhata
8.1. Tinochengeta dhata renyu revanhu kwenguva inodiwa chete kuti tizadzise zvinangwa zvazvakaunganidzirwa, kusanganisira kuteerera zvinodiwa nemutemo, zvematongero, zvezvenhamba, kana zvemishumo, uye maererano nemitemo yedu yemukati yekuchengetedza. Mushure mekunge nguva yekuchengetedza yakakodzera yapera, tichadzima kana kuita dhata renyu rekusazivikanwa nenzira yakachengeteka, kunze kwekunge nguva yakareba yekuchengetedza inodiwa kana kubvumirwa nemutemo, senge yekumisikidza, kushandisa, kana kudzivirira zvichemo zvemutemo, kana yekuchengetedza zvinyorwa, sainzi, kana zvakare zvinhu zvenhoroondo.
9. Kodzero dzenyu
9.1. Zvichienderana nenzvimbo yamunogara uye Mitemo yePrivacy inoshanda kudhata renyu revanhu, mungave nekodzero dzinotevera:
9.1.1. Ruzivo nekuwana: Mungakumbira kuwana dhata renyu revanhu, kugamuchira ruzivo rwekuwedzera nezve mashandisirwo atinoita dhata iri, uye kuwana zvakadzama zvemasangano epublic neeprivate anenge agovaniwa nedhata renyu. Mungakumbirawo kopi yedhata renyu revanhu.
9.1.2. Kugadzirisa: Mungakumbira kugadzirisa kana kuvandudza dhata revanhu risina kururama kana risina kuzara.
9.1.3. Kudzimwa: Mungave nekodzero yekukumbira kudzimwa kwedhata renyu revanhu, zvichienderana nezvinodiwa nemutemo zvinoshanda.
9.1.4. Kudzivirira kushandiswa: Mungave nekodzero yekukumbira kuti tidzivirire kushandiswa kwedhata renyu revanhu pasi pemamiriro akati kuti.
9.1.5. Kupikisa kushandiswa: Mungave nekodzero yekupikisa marudzi akati kuti ekushandiswa, kusanganisira marketing yakananga uye profiling.
9.1.6. Kutamiswa kwedhata: Mungave nekodzero yekukumbira kopi inogona kutamiswa yedhata renyu revanhu muchimiro chakarongwa, chinowanzoshandiswa, uye chinoverengwa nemashine, zvichienderana nemiganhu yemutemo uye kana izvi zvisingakanganisi kodzero dzevamwe kana kuparadza ruzivo rwakavanzika.
9.1.7. Zvisarudzo zvinoitwa nemashine: Mungave nekodzero yekusava pasi pezvisarudzo zvinongoitwa nekushandiswa kwemashine chete (kusanganisira profiling), apo zvisarudzo zvakadaro zvinokonzera mhedzisiro yemutemo kana inokosha zvakafanana.
9.1.8. Kudzosa mvumo: Apo tinoshandisa dhata renyu zvichibva pamvumo, mune kodzero yekudzosa mvumo yenyu chero nguva. Kudzosa mvumo hakuzokanganisi kururama kwekushandiswa kwakaitwa mushure mekudzosa mvumo.
9.1.9. Chimhamhari kuchiremera chekutarisira: Mungave nekodzero yekuisa chimhamhari kuchiremera chekutarisira kuchengetedzwa kwedhata munyika yamunogara, apo dhata renyu rinoshandiswa, apo data controller yenyu yakamiswa, kana apo kuputsika kwedhata kwakange kwaitika.
9.2. Ndapota cherechedzai kuti tinogona kukumbira ruzivo rwekuwedzera kubva kwamuri kuti tisimbise chitupa chenyu tisati tatangira kushanda nechikumbiro chenyu. Mune zvimwe zviitiko, kana chikumbiro chisina chikonzero chaicho, chinodzokorodza, kana chakawandisa, tinogona kukodzera kuchajisa muripo wakakodzera kana kuramba kuita basa pachikumbiro ichi, sezvinobvumirwa nemutemo unoshanda.
9.3. Munogona kukumbira kuvandudza dhata renyu revanhu mumasettings eakaundi yenyu. Ndichinangwa chenyu kuona kuti dhata renyu revanhu rinoramba riri rakarurama uye rakavandudzwa, sezvatinovimba nedhata iri kuti tigopa masevhisi edu. Ndapota cherechedzai kuti kana mukapa ruzivo rusina kururama kana mukasavandudza mamiriro enyu paanochinja, izvi zvinogona kukanganisa hunhu kana kuwanikwa kwemichero neemasevhisi edu kwamuri.
9.4. Kana muchida kushandisa chero dzimwe dzekodzero idzi kana muine mibvunzo yakanangana nekodzero dzenyu pasi peMutemo uyu weZvakavanzika, ndapota taurai neOfficer wedu weData Protection pa dpo@deriv.com.
9.5. Mutemo uyu weZvakavanzika hausikugadzira, kuwedzera, kana kuchinja chero kodzero kana mitoro kunze kwekuti zvakabvumidzwa nemutemo unoshanda (senge Mitemo yePrivacy inoshanda).
10. Marketing
10.1. Mune kodzero yekusarudza kusagashira zvinyorwa zveMarketing kubva kwatiri. Izvi zvinogona kuitwa nekudzosa mvumo yenyu chero nguva munguva yamuchinge muine akaundi nesu.
10.2. Mungasarudza kusagashira kutaurirana kweMarketing mumasettings eakaundi yenyu kana kuzvibvisa pakugashira ma-email eMarketing nekudzvanya link ye“Unsubscribe” iri mune ese ekutaurirana kwedu kweMarketing.
10.2.1. Kana musarudza kusarudza kubva kana kuzvibvisa pakutaurirana kwedu kweMarketing, ndapota cherechedzai kuti munogona kuramba muchigashira ma-email anobatanidza kutengeserana kana ane chekuita nemasevhisi. Tichaita nhamburiko yese yekudzikisira kuwanda kwemameseji aya uye kuona kuti anodikanwa kuti michero neemasevhisi edu ishande zvakanaka.
10.2.2. Ndapota cherechedzai kuti nekuda kwenguva dzekushanda, munogona kugashira zvimwe zvinyorwa zveMarketing kwenguva pfupi, kunyangwe mushure mekunge makumbira kusarudza kubva kana kuzvibvisa. Pamwe pacho, kana kutaurirana kweMarketing kwatove munzira kana kuchitumirwa, munogona kuramba muchizvigashira. Kana muchiramba muchigashira kutaurirana kweMarketing kubva kwatiri mushure mekunge nguva yakakodzera yapfuura, taurai nesu neLive Chat.
11. Chengetedzo yedhata renyu revanhu
11.1. Tinotora chengetedzo yedhata renyu revanhu nekutengeserana kwemari zvichidikanwa zvakanyanya uye tinoshandisa nzira inotarisa njodzi pamatongero, kusanganisira:
11.1.1. Password yenyu yakagoverwa chete kuakaundi yenyu uye yakachengetedzwa zvakachengeteka ichishandisa cryptographic hashing yakasimba. Isusu, kana vashandi vedu, hatikwanisi kuwana password yenyu. Ndapota taurai nesu kana muine chero dambudziko nepassword yenyu.
11.1.2. Dhata rese rekadhi rekaredhiti rinogadziriswa zvakachengeteka uye zvakananga nevabatsiri vedu vekubhadhara, tichishandisa SSL/TLS encryption iripo uye tichiteerera Payment Card Industry Data Security Standard (PCI DSS) kana mamwe mamiriro akafanana.
11.1.3. Kuwana ruzivo rwenyu rwemunhu pachake kwakaganhurirwa kuvashandi vane mvumo avo vanorida zvakadzama kuti vazadzise mabasa avo. Kuwana kwese kunotongwa maererano nemitemo yekuwana zvinoenderana nebasa (role-based access controls) uye kunoongororwa nekuongwa nguva nenguva.
11.1.4. Tinoshandisa matongero ehunyanzvi uye ehurongwa anotenderwa muindasitiri, kusanganisira kuvandudza data (encryption) paanenge achifambiswa uye paanenge akachengeta, kudzivirira network (senge mafirewall nekuona kupinda kusina mvumo), kuongororwa kwekuchengetedzeka nguva nenguva, uye kuronga kuramba kushanda kwebhizimisi, kuti tidzivirire ruzivo rwenyu.
11.1.5. Masisitimu edu anotarisa zvinhu zvinonyanyonetsa uye zvingangoita manyepo. Tinoongorora chimiro cheunhu apo zvakakodzera uye, mune zvakafungidzirwa manyepo, tinogona kushanda nevatungamiri vemutemo nemasangano ane chekuita.
11.1.6. Imi ndimi mune mutoro wekuchengetedza ruzivo rwenyu rwekupinda, akaundi yenyu yeemail, uye midziyo yenyu zvakachengeteka. Tinokurudzira zvakanyanya kusarudza mapassword akasimba, akasiyana, nekuagadzirisa nguva nenguva, kusaudza mumwe munhu, uye kusashandisa midziyo kana network dzinoshandiswa nevanhu vazhinji kuti mupinde muakaundi yenyu.
11.2. Pasinei nekushingaira kwedu kudzivirira data yenyu, ngazvizivikanwe kuti hapana purogiramu yepainternet inogona kuvimbiswa kuti yakachengeteka zvachose. Kana zvikaitika kuti data yenyu yabudiswa pachena (data breach), tichatevedzera zvinodiwa nemitemo yekuzivisa maererano neMitemo yeMvumo (Privacy Laws) inoshanda.
12. Kusarudza nekuongororwa kunoitwa neHunyanzvi Hwemasisitimu (Automated decision-making and profiling)
12.1. Tinoramba tine kodzero yekushandisa data yatinounganidza nekuongorora kuti tiongorore unhu hwenyu maererano nezvigadzirwa zvedu. Tinoita izvi nemaoko tichibatsirwa nemasisitimu anoshanda ega. Nenzira iyi, tinozokwanisa kukupai zvigadzirwa nemabasa akakodzera zvikuru.
12.2. Tinogonawo kushandisa masisitimu anoshanda ega kuti atibatsire kuita sarudzo dzekuongorora njodzi, senge patinoita kuongorora kwemanyepo nekuchenesa mari. Kunyangwe tingashandisa hunyanzvi kuti hutibatsire kuziva mwero wenjodzi, sarudzo dzese dzingakanganisa imi zvakashata dzichagara dzine kupindira kwemunhu, kuti tive nechokwadi chekuti sarudzo hadzisi kuitwa chete nemasisitimu anoshanda ega.
13. Makies nekuongororwa kwewebhusaiti (Cookies and website analytics)
13.1. Makies ndiwo mafaera madiki emagwaro anoiswa pamudziyo wenyu kuti achengetedze data inogona kuyeukwa nesevha yewebhu. Anoshandiswa zvakanyanya kuti mawebhusaiti ashande, kuvandudza mashandisirwo awo, uye kuunza zvinhu nemashambadziro ane chekuita.
13.2. Tinoshandisa makies nehunyanzvi hwakafanana (senge web beacons nema pixel) kuti:
13.2.1. Tigonese webhusaiti kushanda uye nzvimbo dzakachengeteka;
13.2.2. Tiyeuke zvamunosarudza nemamiriro amunoshandisa;
13.2.3. Tinzwisise mashandisirwo enyu emabasa edu kuti tiavandudze;
13.2.4. Tiunze zvinyorwa nemashambadziro akakodzeranwa nemi; uye
13.2.5. Tibatsire kuchengetedza akaundi yenyu nekunyora kupinda nekuedza kwekupinda.
13.3. Tinogona kushandisa mhando dzemakies dzinotevera:
13.3.1. Makies anodikanwa chaizvo: Anodikanwa kuti mufambe pawebhusaiti uye mushandise mabasa ayo, senge kupinda muakaundi;
13.3.2. Makies ekushanda: Anoyeuka zvamunosarudza kuti muwedzere mufaro wekushandisa;
13.3.3. Makies ekuongorora mashandiro/Analytics: Anotibatsira kunzwisisa mashandisirwo evashanyi vewebhusaiti yedu kuburikidza nekuunganidza nekushuma ruzivo musina kuzivikanwa; uye/kana
13.3.4. Makies ekunangana/Mashambadziro: Anoshandiswa nesu nevatenzi vedu vechetatu kuti vaunze mashambadziro ane chekuita nekuyera kubudirira kwawo.
13.4. Makies anodikanwa chaizvo achagadzwa pachine chiito chega. Mamwe makies (senge makies ekushanda, ekuongorora, uye emashambadziro) angangogadzwa kana mukapa mvumo yenyu maererano nemutemo unoshanda.
13.5. Mune sarudzo zhinji maererano nekutonga makies pamudziyo wenyu wemakombiyuta. Mabrowser mazhinji anokutenderai kutonga kana kudzimisa makies kuburikidza nemagadziriro ebrowser renyu. Ngazvizivikanwe kuti kudzimisa makies amwe kunogona kukanganisa mashandiro ezvigadzirwa nemabasa edu.
13.6. Makies anochengetwa kwenguva inodikanwa chete kuti azadzise chinangwa chawo. Nguva yekuachengeta inoenderana nemhando yemakie. Makies esesheni anobviswa pamunovhara brauza renyu, ipapo makies anogara kwenguva refu anogona kuramba aripo kunze kwekunge mukaabvisa nguva isati yasvika.
13.7. Tinoshandisa mabasa evatenzi vechetatu, senge Google Analytics, Meta Pixel, LinkedIn Insight Tag, neSnap Pixel, angangogadza makies awo pamudziyo wenyu. Munogona kutitumira email pa dpo@deriv.com kuti muwane ruzivo nezvemakies aya uye kuti mungatonga sei zvamunosarudza.
14. Zvisungo zvinoenda kune mamwe mawebhusaiti
14.1. Webhusaiti yedu ine zvisungo zvinoenda kune mamwe mawebhusaiti uye inogona kuva nemashambadziro ebanner kana icon ane chekuita nemawebhusaiti evatenzi vechetatu. Mawebhusaiti aya nemashambadziro awo angatumira makies kubrowser renyu, izvo zvisiri pasi pekutonga kwedu. Hatina mutoro pamatongero ekuchengetedza zvakavanzika kana zvinyorwa ezvakadaro mawebhusaiti. Tinokukurudzirai kuverenga mitemo yekuchengetedza zvakavanzika yemawebhusaiti aya nekuti matongero awo anogona kusiyana needu.
15. Mutongi weData nekondineti
15.1. Nechinangwa chemitemo yekuchengetedza data inoshanda, mutongi weData anotarisira ruzivo rwenyu rwemunhu pachake anoenderana nenyika yamunogara uye mabasa eDeriv amunoshandisa. Kuti muwane ruzivo nezvemakambani eDeriv anopa mabasa, kusanganisira kero dzekunyoreswa neruzivo rwemitemo inotonga, shanyai: https://deriv.com/regulatory.
15.2. Kana muri munyika dzeEuropean Economic Area(EEA), mutongi wenyu weData achava Deriv Investments (Europe) Limited, akanyoreswa muMalta (Company No. C 70156), ane kero yakanyoreswa paLevel 3, W Business Centre, Triq Dun Karm, Birkirkara BKR9033, Malta. Deriv Investments (Europe) Limited inotongwa neMalta Financial Services Authority pasi peInvestment Services Act.
15.3. Kana muchida ruzivo rwakawedzera nezvemutongi wenyu weData, mune mibvunzo kana makomendi nezveMutemo uno weMvumo kana matongero edu ekuchengetedza data, kana muchida kuita mhosva nezvekutevedzera kwedu Mitemo yeMvumo inoshanda, ndapota taurai neOfficer wedu weKuchengetedza Data pa dpo@deriv.com.
16. Zvigadziriso
16.1. Tinogona kugadzirisa Mutemo uno weMvumo nguva nenguva kuratidza shanduko mumatongero edu, zvinodiwa nemutemo, kana hunyanzvi.
Webhusaiti iyi inogona kushandisa shanduro dzinoitwa nemasvomhu kuti muve nerunyararo. Asi, shanduro yeChirungu ndiyo inokosha uye ndiyo inoshandiswa pakunge paita mutsauko. Deriv (FX) Ltd ine rezinesi uye inotariswa neLabuan Financial Services Authority. Deriv (BVI) Ltd ine rezinesi uye inotariswa neBritish Virgin Islands Financial Services Commission. Deriv Investments (Cayman) Limited, ine hofisi yakanyoreswa paCampbells Corporate Services Limited, Floor 4, Willow House, Cricket Square, Grand Cayman, Cayman Islands, inotariswa neCayman Islands Monetary Authority. Deriv (Mauritius) Ltd inotariswa neFinancial Services Commission, Mauritius. Deriv (V) Ltd ine rezinesi uye inotariswa neVanuatu Financial Services Commission. Deriv.com Limited, kambani yakanyoreswa muGuernsey, ndiyo kambani huru inobata dzimwe kambani idzi. Deriv Capital International Ltd ine hofisi yakanyoreswa paUnit 25, 2nd Floor, Nia Mall, Saleufi Street, Apia, Samoa. Deriv (SVG) LLC ine hofisi yakanyoreswa paFirst Floor, SVG Teachers Credit Union Uptown Building, Corner of James and Middle Street, Kingstown P.O., St Vincent and the Grenadines. Munofanira kuverenga Mirawo neMitemo yedu uye Zivo yeNjodzi kuti munzwisise zvakakwana njodzi dziri pakati pekushandisa masevhisi edu. Nyorerei zvakare kuti ruzivo rwuri pawebhusaiti iyi harusi zano rekudyara mari.
Zvigadzirwa zvinopiwa pawebhusaiti yedu ndezvigadzirwa zvakaoma zvinonzi derivatives, zvine njodzi huru yekurasikirwa nemari. MaCFD ndezvishandiso zvakaoma zvine njodzi huru yekukurumidza kurasikirwa nemari nekuda kweLeverage. Munofanira kufunga kuti munonzwisisa here mashandiro ezvigadzirwa izvi uye kuti munokwanisa here kutakura njodzi huru yekurasikirwa nemari yenyu.
