ngā taputapu matauranga pakihi ai

Ngā Utauta Matauranga Pakihi AI: Te Huarahi Atamai Whakamiharo ki te Whakatau i ngā Whakataunga Pai Ake

Mena he kaiwhakaū pakihi hou koe e huna ana i roto i ngā papaaho maha rawa, he kaitātari raraunga rānei e mau tonu ana ki ngā ripanga tātai e ahua teka tonu ana (kāore?), māu tēnei aratohu. Me whakamārama tātou he aha ngā mea e whai hua ai ēnei taputapu, me ēhea hoki ka āwhina i tō pakihi i tētahi hapa nui rawa atu.

Ngā tuhinga ka pai pea koe ki te pānui i muri i tēnei:

🔗 Te ao o te pūtaiao raraunga me te matauranga horihori
Ka tūhuratia te hanga a te AI me te pūtaiao raraunga i ngā au auahatanga.

🔗 Ngā taputapu B2B AI pai rawa atu mō ngā mahi
Ngā taputapu matua e whakarei ake ana i te whai huatanga o te pakihi mā te mātauranga.

🔗 Ngā taputapu tūāpapa pakihi kapua AI tino pai
He rārangi kua whiriwhiria o ngā taputapu whakahaere kapua AI matua.


tino ai ngā taputapu matauranga pakihi AI ?

Ahakoa te ātaahua o te whakaaturanga, kāore e ōrite katoa ngā taputapu BI. Ko ngā mea e tika ana kia whakamahia e koe ka eke ki ētahi tohu nui:

  • Ngā māramatanga matapae : Ka neke atu i te "mea i tupu" ka akiaki ki te "mea e whai ake nei" - ngā mea pēnei i ngā huringa o te paipa, te tūponotanga o te hurihanga, tae atu ki ngā tauira rarangi taonga. (Engari kia mahara: ko ngā raraunga kino e uru mai ana = ngā matapae wiri. Kāore he taputapu e whakatika makutu i tēnā. [5])

  • Te uiui reo tūturu (NLQ) : Mā te pātai i ngā pātai e rite ana ki tāu kōrero, kaua e whakaari he karetao SQL koe. E pai ana ki ngā kaiwhakamahi matatau, ā, ka whakamahia e ngā kaiwhakamahi noa. [1][2]

  • Whakaurunga raraunga : Tangohia mai i ō puna katoa - CRM, whare putunga, taupānga pūtea - kia kore ai tō "puna pono kotahi" e waiho hei kupu rongonui noa iho i runga i tētahi kiriata hoko.

  • Pūrongo me ngā mahi aunoa : Mai i ngā pūrongo kua whakaritea ki ngā aunoatanga o te rere mahi e whakaoho ana i ngā mahi. [4]

  • Te Tauine me te Whakahaere : Ko ngā mea hoha (ngā tauira, ngā whakaaetanga, te whakapapa) e ārai ana i ngā mea katoa kei hinga ina uru mai ētahi atu tīma.

  • UX iti-waku : Mena e hiahia ana koe ki tētahi puni whakangungu e toru wiki te roa, ka kore e angitu te whakatinanatanga.

Papakupu poto (i te reo Pākehā māmā):

  • Tauira tikanga : ko te paparanga whakamāori e huri ana i ngā ripanga paru ki ngā kupu e rite ana mō te pakihi (pēnei i te "Kaihoko Hohe").

  • Āwhina LLM : He hangarau mohio e tuhi ana i ngā māramatanga, e whakamārama ana i ngā tūtohi, e hanga ana rānei i tētahi pūrongo whānui mai i tētahi tohu kotahi. [1][3]


📊 Ripanga Whakataurite: Ngā Utauta Matauranga Pakihi AI Pai rawa atu

Utauta Pai rawa atu mō Utu He aha i mahi ai
Tableau AI Ngā Kaitātari me ngā Kaiwhakahaere $$$$ Pūrākau tirohanga + whakarāpopototanga AI (Pulse) [3]
Power BI + Kaiurungi-ā-ringa Ngā Kaiwhakamahi Pūnaha Rauropi MS $$ NLQ kaha + ngā tirohanga i hangaia e te tere [1]
Wāhi Whakaaro Ngā kaiwhakamahi e rapuhia ana $$$ Pātai atu, tiki tūtohi - rapu-tuatahi UX [2]
Kaitiro (Google) Ngā kaiwhaiwhai raraunga nui $$$ Te honohono hōhonu ki a BigQuery; te whakatauira tauine [3][4]
Sisense Ngā Rōpū Hua me Ngā Mahi $$ E mōhiotia ana mō te whakauru ki roto i ngā taupānga
Qlik Sense Ngā kamupene mākete waenga $$$ Aunoatanga hei neke atu i te māramatanga → mahi [4]

(He rerekē rawa ngā utu - ko ētahi o ngā whakatau utu pakihi… he mea whakamiharo.)


🔎 Te Aranga Ake o te NLQ i roto i te BI: He aha i Huri ai te Kēmu

Mā te NLQ, ka taea e te tangata hokohoko te pato noa, "Ko ēhea kaupapa i whakapiki ake i te ROI i te hauwhā whakamutunga?" ā, ka whiwhi whakautu mārama - kāore he ripanga pivot, kāore he raruraru SQL. Ko ngā taputapu pēnei i a Power BI Copilot me ThoughtSpot te hunga e ārahi ana i konei, e huri ana i te reo Pākehā māmā ki ngā patai me ngā tirohanga. [1][2]

💡 Tohutohu tere: Whakamahia ngā tohutohu pēnei i ngā whakarāpopototanga poto: inenga + wā + wāhanga + whakatairite (hei tauira, "Whakaatuhia te CAC pāpori utu me te mea rauropi mā te rohe, Q2 me te Q1" ). Ko te pai ake o te horopaki, ko te koi ake o te hua.


🚀 Tātari Matapae: Te Tirohanga ki te Ao o Muri Mai (He Āhua)

Kāore ngā taputapu BI pai rawa atu e mutu i "ngā mea i tupu." Ka werohia e rātou "ngā mea kei te heke mai":

  • Ngā matapae a Churn

  • Ngā matapae hauora o ngā paipa

  • Ngā matapihi rarangi taonga i mua i te paunga o ngā taonga

  • Ngā kare ā-roto o te kiritaki, o te mākete rānei

Ka whakarāpopoto aunoa a Tableau Pulse ka mahi pai a Looker BigQuery/BI Engine me BQML mō te tauine. [3][4] Engari - he pono - he pakari noa ngā matapae i runga i ō whakaurunga. Mena he pōrearea ō raraunga pipeline, ka kataina ō matapae. [5]


📁 Whakaurunga Raraunga: Te Toa Huna

Ko te nuinga o ngā kamupene e noho motuhake ana: he kōrero tā te CRM, he kōrero tā te pūtea, ā, kei te taha tonu o te tātari hua. Ka pakaruhia aua taiepa e ngā taputapu BI tūturu:

  • Ngā tukutahitanga tata-wā-tūturu i waenga i ngā pūnaha matua

  • Ngā inenga tiritahi puta noa i ngā tari

  • Kotahi te paparanga whakahaere, nō reira, kāore te "ARR" e tohu i ngā mea rerekē e toru

Ehara i te mea whakahirahira, engari ki te kore he whakaurunga, he whakaaro noa iho tāu.


📓 Pūmanawa Whaiaro Whakauru: Te Kawea Mai i ngā Tātaritanga ki ngā Raina Matua

Whakaarohia mēnā i noho noa ngā māramatanga ki te wāhi i mahi ai koe - i roto i tō CRM, i tō tēpu tautoko, i tō taupānga rānei. Koia te BI kua whakauruhia. a Sisense me Qlik i konei, e āwhina ana i ngā tīma ki te hanga tātaritanga tika ki roto i ngā rerengamahi o ia rā. [4]


📈 Papatohu Whakahaere vs. Ngā Pūrongo Aunoa

Ko ētahi o ngā kaiwhakahaere matua e hiahia ana ki te mana whakahaere katoa - ngā tātari, ngā tae, ngā papaaho whakairoiro tino pai. Ko ētahi e hiahia ana kia tukuna he whakarāpopototanga PDF ki roto i tā rātou pouakaroto i ia ata Mane.

Waimarie, kei te kapi ngā taputapu AI BI i ngā taha e rua:

  • Power BI me Tableau = ngā papaaho taumaha (me ngā āwhina NLQ/LLM). [1][3]

  • Kaitiro = te whakatauira pai me te tuku kua whakaritea i te tauine nui. [4]

  • ThoughtSpot = pātai-ā-ka-whiwhi-koe-i-te-tuhituhi inamata. [2]

whakamahinga a tō tīma - ki te kore, ka hangaia e koe he papaaho kāore e whakatuwheratia e tetahi.


🧪 Me pēhea te whiriwhiri (Tere): He Kāri Kaute 7-Pātai

Hoatu ngā tohu 0–2 ki ia pātai:

  1. He māmā noa iho te NLQ mō te hunga ehara i te kaitātari? [1][2]

  2. Ngā āhuatanga matapae me ngā taraiwa ka taea te whakamārama? [3]

  3. E uru ana ki tō whare putunga (Snowflake, BigQuery, Fabric, me ētahi atu)? [4]

  4. He pakari te whakahaere (whakapapa, haumarutanga, whakamāramatanga)?

  5. Kua whakauruhia ki te wāhi e mahi ana te mahi? [4]

  6. Ka taea e te aunoatanga te peke mai i te whakatūpato → mahi? [4]

  7. He utu whakarite/tiaki e taea ana mō te rahi o tō tīma?

👉 Tauira: He kamupene SaaS e 40 ngā tāngata e whiwhi ana i ngā tohu teitei mō te NLQ, te whakaurunga whare putunga, me te aunoatanga. Ka whakamātauhia e rātou ngā taputapu e rua ki te KPI kotahi (hei tauira, "Net new ARR") mō ngā wiki e rua. Ko tēhea te whakatau ka puta mai ka mahihia e rātou - koia te kaitiaki.


🧯 Ngā Tūponotanga me ngā Tirotiro Tūturu (I mua i te Hokonga)

  • Kounga raraunga me te whakaaro pōhēhē: Ko ngā raraunga kino, tawhito rānei = he māramatanga kino. Me kati wawe ngā whakamāramatanga. [5]

  • Te Whakamārama: Ki te kore e taea e te pūnaha te whakaatu i ngā āhuatanga taraiwa ("te take"), me whakaaro ki ngā matapae hei tohutohu.

  • Te rerekētanga o te whakahaere: Kia mau tonu ngā whakamāramatanga ine, ki te kore ka whakautua e te NLQ te o te "MRR".

  • Whakahaere huringa: Ko te whakamahinga te mea nui ake i ngā āhuatanga. Whakanuia ngā wikitoria tere hei akiaki i te whakamahinga.


📆 He nui rawa te mahi a te AI BI mō ngā tīma iti?

Kāore i te katoa. He utu tika ngā taputapu pēnei i a Power BI Looker Studio rānei , ā, kei roto hoki ngā āwhina AI e taea ai e ngā tīma iti te mahi i runga ake i tā rātou taumaha. [1][4] Ko te ārai: kaua e whiriwhiri i tētahi tūāpapa e hiahia ana ki tētahi kaiwhakahaere motuhake mēnā kāore he kaiwhakahaere āu.


Kāore te AI BI e Kōwhiria i Tēnei Wā

Mena kei te mau tonu koe i roto i ngā ripanga tātai ā-ringa, i ngā papaaho tawhito rānei, kua mahue koe. Ehara i te mea ko te tere anake te kaupapa matua o te AI BI - engari ko te māramatanga. Ā, he pono, he momo moni te māramatanga i roto i te pakihi.

Tīmatahia kia iti, tuhia ō inenga, whakamātauria kia kotahi, kia rua rānei ngā KPI, ā, tukua te AI kia whakakore i te haruru kia taea ai e koe te whakatau i ngā whakatau nui. ✨


Ngā Tohutoro

  1. Microsoft Learn – Te Mahi Tahi i roto i te Power BI (Ngā Āheinga me te NLQ)https://learn.microsoft.com/en-us/power-bi/create-reports/copilot-introduction

  2. ThoughtSpot – Raraunga Rapu (NLQ/Ngā Tātaritanga Rapu-Ara)https://www.thoughtspot.com/product/search

  3. Āwhina Tableau – Mō Tableau Pulse (ngā whakarāpopototanga AI, paparanga whakawhirinaki Einstein)https://help.tableau.com/current/online/en-us/pulse_intro.htm

  4. Kapua Google – Tātarihia ngā raraunga me te BI Engine me te Looker (whakaurunga BigQuery/Looker)https://cloud.google.com/bigquery/docs/looker

  5. NIST – Anga Whakahaere Mōrearea AI 1.0 (Kounga Raraunga me ngā Mōrearea Pīrori)https://nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf


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