Data Ekipu tɛ yen wa? Basi tɛ. AI Analytics bɛ ka tulonkɛyɔrɔ nivoya

stati dɔ filɛ nin ye min ka kan ka jagokɛla fitinin bɛɛ bila k' a janto : tɔn minnu bɛ baara kɛ ni kunnafonidilanw ye minnu bɛ tali kɛ kunnafonidilanw na , olu ka teli ka siɲɛ 23 ka kiliyanw sɔrɔ , ka kɛɲɛ ni McKinsey ka ɲininiw ye Nka tuguni min man di, o filɛ nin ye — jagokɛla misɛnninw ni jagokɛla cɛmancɛw 73% b’a fɔ k’u tɛ baarakɛlaw walima dɔnniya sɔrɔ walasa k’u yɛrɛ ka kunnafoniw sɛgɛsɛgɛ ka ɲɛ. San caman kɔnɔ, o danfara kɔrɔ tun ye fɛn kelen ye: ka kunnafonidilan sɔngɔ gɛlɛnw ta baara la walima ka pan fiyentɔya la. San 2026, o bɛnkan in jiginna kosɛbɛ.

AI-powered analytics tools (AI-powered analytics tools) kɔgɔra fo ka se yɔrɔ la, a kelen sigibaga min bɛ Shopify magasin dɔ ɲɛminɛ, o bɛ se ka se ka hakilina kelenw sɔrɔ, Fortune 500 ka tɔnw bɛ kunnafoni-jɛkuluw sara minnu bɛ jate wolonwula la walasa k’u dilan. Kanko ɲininkaliw dabɔlenw, anomaliya dɔnni otomatiki, kɔrɔfɔli kɔrɔfɔli — ninnu tɛ buzzwords ye tugun. U ye fɛnw ye minnu bɛ Se ka Sɔrɔ minnu jɔlen bɛ 'plateformew kɔnɔ minnu musaka ka dɔgɔ ni sɛgɛsɛgɛlikɛla kelen ka don o don musaka ye kalo kɔnɔ. Ɲininkali tɛ tugun ko jagokɛla misɛnninw bɛ se ka kɛ kunnafonidilanw ye. O ye n’u bɛ se k’u kana kɛ.

Sɛgɛsɛgɛliw sɔrɔbaliya musaka lakika

Jagokɛla fanba t’a dɔn u bɛ sɔrɔ hakɛ min to tabali kan, n’u ye desizɔnw ta minnu bɛ kɔnɔnafili. San 2025 Forrester ka sɛgɛsɛgɛli dɔ y’a jira ko SMB minnu tɛ ni jateminɛ kɛcogo fɔlɔ ye, olu bɛ $12.000 tiɲɛ san kɔnɔ feereli musaka nafamabaliw dɔrɔn na. O ye wari ye min bɔnna kanw kɔnɔ, kanpaɲiw, ani lamɛnnikɛlaw kɔnɔ, kunnafonidilanw tun bɛna minnu jira ko u ma baara kɛ ka ɲɛ dɔgɔkun damadɔ kɔnɔ.

Nka musaka bɛ taa a fɛ ka tɛmɛ piblisite baarakɛnafolo tiɲɛnenw kan. Ni jateminɛ tɛ, i tɛ se k’a dɔn kiliyan minnu bɛna wuli, fɛn minnu ka nafa bɛ dɔgɔya, walima ekipu mɔgɔ minnu bɛ baara doni ta minnu tɛ bɛn ɲɔgɔn ma. I bɛ laban ka gɛlɛyaw jaabi sanni i k’u bali. Restoranɛtigi min y’a kɔlɔsi ko sɔrɔko dɔgɔyara Marisikalo la, o t’a dɔn n’o ye waati ta ye, n’o bɛ tali kɛ dumunifɛnw na, walima ni baarakɛlaw ka ko ye — fo n’u ka kunnafoniw tilalen don ka kɛɲɛ ni kuluw ye, waati waati, ani baarakɛcogo caman ɲɔgɔnna.

Laadala fura tun ye ka kunnafonidilan dɔ ta ka kɛɲɛ ni dɔrɔmɛ 65.000–$95.000 ye san kɔnɔ, walima ka ladilitɔn dɔ ta ni dɔrɔmɛ 150–$300 ye lɛrɛ kelen kɔnɔ. Jagokɛyɔrɔ min bɛ dɔrɔmɛ miliyɔn 2 jukɔrɔ sɔrɔ san kɔnɔ, o jatew tɛ baara kɛ dɔrɔn. AI sɛgɛsɛgɛli y’o musaka sigicogo in bin pewu, ka baarakɛda-sɛgɛsɛgɛli bila jagokɛlaw bolo minnu bɛ musaka dɔgɔya min bɛ se dɔrɔmɛ 19 ma kalo kɔnɔ.

AI jateminɛ bɛ baara kɛ cogo min na tiɲɛ na (ni kumasen tɛ)

Aw bɛ fɛɛrɛko gɛlɛya bɔ a la, wa AI-powered analytics bɛ fɛn saba kɛ minnu tun bɛ hadamaden sɛgɛsɛgɛlikɛlaw wajibiya ka baara kɛ waati dafalen.

Pattern Recognition at Scale

AI modɛliw bɛ kunnafonidilan ba caman sɛgɛsɛgɛ i ka feereli, feereli, baarakɛcogo ani wariko sɛbɛnw kɔnɔ waati kelen na. Hadamaden sɛgɛsɛgɛlikɛla bɛ se ka tile fila kɛ yɔrɔ min na ka kulu sɛgɛsɛgɛli kɛ, AI bɛ misaliw jira — i n’a fɔ a ye ko kiliyan minnu sɔrɔla Instagram fɛ, olu ka ɲɛnamaya nafa ka bon ni 34% ye ka tɛmɛ Google Ads ta kan — segin kɔnɔ. A tɛ sɛgɛn, a tɛ jɛɲɔgɔnyaw to yen, wa a bɛ fɛn kuraw don waati yɛrɛ la.

Kan dacogo ɲininkali

Bi AI jateminɛyɔrɔw b’a to i ka ɲininkaliw kɛ tubabukan gansan na. Sani i ka SQL ɲininkaliw sɛbɛn walima ka jatebɔsɛbɛn gɛlɛnw jɔ, i bɛ fɛn dɔ sɛbɛn i n’a fɔ "Ne ka fɛn dilannenw kulu min ye baara kɛ ka ɲɛ san saba tɛmɛnen kɔnɔ, o kɛra mun ye tɔnɔ hakɛ fɛ?" ani ka jaabi sɔrɔ o yɔrɔnin bɛɛ la, min bɛ ye i ɲɛ na. O bɛ kunnafonidilanw tali gɛlɛya kelen bɔ yen : fɛɛrɛko seko ni dɔnko danfara.

Predictive Forecasting

Laala seko min nafa ka bon kosɛbɛ, o ye ɲɛtaa jateminɛ ye. AI misali minnu kalanna i ka tariku kunnafoniw kan, olu bɛ se ka sɔrɔ cogoyaw fɔ, fɛnmarataw magow, kiliyanw ka ɲɔgɔn sɔrɔli seko, ani wariko danfara dɔgɔkun caman walima kalo caman ka kɔn o ɲɛ. Jamana labɛnni baarakɛda min bɛ baara kɛ ni jateminɛ kɔrɔfɔlenw ye, o bɛ se k’a dɔn Zanwuyekalo la ko Marisikalo jatebɔ bɛ ka taa ɲɛ 18% ka tɛmɛ san tɛmɛnnen kan — o bɛ dɔgɔkun 8 di u ma walasa u ka se ka laseli kɛ sanni u ka dɛsɛ in sɔrɔ a kɛlen kɔ kaban.

I bɛ se ka min suman tiɲɛ na (ani min ka kan ka suman)

Jagokɛlaw bɛ filiba minnu kɛ n’u bɛ jateminɛw ta, olu dɔ la kelen ye k’a ɲini ka kɛ fɛn bɛɛ nɔfɛtaama siɲɛ kelen. AI fanga ka bon, nka a nafa ka bon kosɛbɛ ni a ɲɛsinnen bɛ jateminɛ kɛrɛnkɛrɛnnenw ma, minnu bɛ se ka waleya. Nin ye fɛn ye min nafa ka bon kosɛbɛ jagokɛlaw bolo minnu si tɛ baarakɛla 50 bɔ.

• Kiliyanw sɔrɔli musaka (CAC): i bɛ min sara tiɲɛ na walasa ka kiliyan kura kelen-kelen bɛɛ sɔrɔ , o tilalen don ka kɛɲɛ ni kanw ye . AI bɛ se k’o jate a yɛrɛma n’i ye i ka piblisite musaka, CRM, ani feereli kunnafoniw siri ɲɔgɔn na.
• Kiliyanw ka ɲɛnamaya nafa (CLV): Kunnafoni bɛɛ lajɛlen bɛ sɔrɔ kiliyan fɛ u ni i cɛsira bɛɛ kɔnɔ. AI misaliw bɛ o fɔ ka da sanni kɛcogo kan, komandi nafa cɛmancɛ, ani maracogo kan.
• Sɔrɔ min bɛ sɔrɔ baarakɛla kelen-kelen bɛɛ la : Nafamafɛnw jateminɛcogo kɔrɔlen don min b’a fɔ i ye n’i ka kulu bɛ ka sɛgɛsɛgɛli kɛ. A ka c’a la, SMB kɛnɛmanw bɛ dɔrɔmɛ 150.000–$250.000 laɲini baarakɛla kelen-kelen bɛɛ bolo san o san.
• Churn Prediction Score : AI bɛ farati jatew di kiliyan kelen-kelen bɛɛ ma ka da jɛkafɔ dɔgɔyali kan, dɛmɛn tikiti cogoyaw, ani baarakɛcogo dɔgɔyali — k’a to i ka don a la sani u ka taa.
• Cash Flow Forecast: Tile 30/60/90 wariko jateminɛ otomatiki min sinsinnen bɛ sɔrɔw kan, sarataw kan, waati taabolow, ani pibiliki seko ni dɔnko.
• Sugudacogo : Magayɔrɔ jumɛnw bɛ mɔgɔw ladɔnniya tiɲɛ na, a tɛ kɛ ni digi laban dɔrɔn ye nka a tɛ maga caman na, AI bɛ minnu jɔ a yɛrɛma.

Hakilila jɔnjɔn ye ko nin jateminɛ ninnu si tɛ a wajibiya statistics degree ka kɔrɔfɔ ni AI b’u jira ɲɛda la ni contexte ye. Dashboard min b’a fɔ ko "I ka CAC cayara 22% nin kalo in na, kɛrɛnkɛrɛnnenya la, o sababu bɔra Facebook CPM 40% wulilen na" o bɛ se ka kɛ mɔgɔ bɛɛ bolo.

I ka Analytics Stack jɔli ni fɛɛrɛko dɔnniya tɛ

I mago t’a la ka baarakɛminɛn suguya duuru cobble ɲɔgɔn na ani ka developpeur dɔ ta walasa k’u siri ɲɔgɔn na. Fɛɛrɛ min ka ɲi kosɛbɛ jagokɛlaw bolo minnu ka nafolo ka dɔgɔ, o ye ka baara kɛ ni yɔrɔ jɛlen ye min bɛ i ka baarakɛcogo kunnafoniw cɛsiri kaban — feereli, fatura, CRM, jago, HR — yɔrɔ kelen na.

Jagokɛlaw minnu bɛ nafa caman sɔrɔ AI sɛgɛsɛgɛliw la, olu tɛ baarakɛminɛnw ye minnu ka di kosɛbɛ — olu de ye minnu ka kunnafoniw bɛ balo kaban sigida kelen kɔnɔ, min ni ɲɔgɔn cɛsirilen don. Jɛɲɔgɔnya ye wajibi ye, jateminɛ ɲɛminɛbaga fanba bɛ tɛmɛ min kan.

O yɔrɔ de la tigitigi, ɛntɛrinɛti yɔrɔw i n’a fɔ Mewayz bɛ nafa tilenbali lase. Ikomi Mewayz bɛ baara kɛ i n’a fɔ jago OS modulari — ni CRM, fatura, sarako, HR, jatebɔ, ani jateminɛ moduluw bɛɛ bɛ kunnafonidilan kelen tila — jɛkafɔ baara si tɛ wajibiya. I ka feereli kunnafoniw, kiliyanw ka jɛɲɔgɔnyaw, wariko sɛbɛnw, ani baarakɛcogo jateminɛw bɛ ɲɔgɔn kan kaban. AI sɛgɛsɛgɛli layɛrɛ bɛ fɛn minnu bɛ yen kaban, olu kalan dɔrɔn, ka hakilinaw bɔ kɛnɛ kan, i tun mago bɛ minnu na n’o tɛ, i mago bɛ sɛgɛsɛgɛlikɛla kɛrɛnkɛrɛnnen dɔ la walasa ka olu sɔrɔ.

I k’o suma ni fɛɛrɛ wɛrɛ ye: i ka i tɔgɔ sɛbɛn BI baarakɛminɛn jɔlen dɔ la i n’a fɔ Tableau walima Looker, o kɔfɛ, i bɛ dɔgɔkun caman kɛ ka kunnafonidilanw siri ɲɔgɔn na APIw fɛ, ka kunnafonidilanw cogoyaw saniya, ani ka dashboardw jɔ minnu bɛ kɛ ka kɛɲɛ ni i yɛrɛ sago ye. Mɔgɔ 15 ka tɔn fɛ, o porozɛ dɔrɔn bɛ se ka kɛ dɔrɔmɛ 5000–15000 ye sigikafɔ waati ni ladilikan sara la sanni i ka hakilina kelen ye.

A senfɛ-senfɛ-kalansen min bɛ taa ni kunnafonidilanw ye

I mana daminɛ zeru la wo, walima i mana sɛgɛsɛgɛli kɛ ka bɔ jatebɔsɛbɛnw na, o hukumu in b’i bɔ data-blind la ka taa data-driven la tile 30 kɔnɔ k’a sɔrɔ i ma mɔgɔ si ta baara la .

1. Dɔgɔkun fɔlɔ — I ka kunnafoniw bila ɲɔgɔn cɛ : I ka baara kolomaw lasegin kɛnɛ kelen kan . A dɔgɔyalenba la, i ka CRM, fatura, ani jago kunnafoniw ka kan ka sigi sistɛmu kelen kɔnɔ. N’i ​​bɛ baara kɛ ni Mewayz ye, i mago bɛ modulu minnu na, i ka olu baara — CRM, fatura, ani analytics a dɔgɔyalenba la. Kunnafoni minnu bɛ sɔrɔ kiliyanw ni jagokɛtaw la, olu don jamana kɔnɔ.
2. Dɔgɔkun 2 — I ka jateminɛ jɔnjɔn duuru ɲɛfɔ : I kana tɛmɛ jateminɛ duuru kan minnu bɛ tali kɛ sɔrɔ walima baarakɛcogo ɲuman na. Baara kɛ ni lisi ye min bɛ sanfɛ i n’a fɔ daminɛ. I ka AI analytics dashboard labɛn walasa ka ninnu nɔfɛ kɛrɛnkɛrɛnnenya la. Aw ye KPI 30 kɔlɔsili nege kɛlɛ — sinsin bɛ jɛya lase mɔgɔ ma.
3. Dɔgɔkun 3nan — Dakunw ni lasɔminiw sigi sen kan : A to AI k’aw ka tariku kunnafoniw sɛgɛsɛgɛ walasa ka basigiw sigi sen kan. Aw ye otomatiki lasɔminiw sigi senkan walasa ka fɛnw bɔ ɲɔgɔn na kosɛbɛ : dɔgɔkun sɔrɔ bɛ jigin 15%, kiliyanw dɛmɛni tikitiw cayara, walima wariko jateminɛ min bɛ dɛsɛ jira. Nin lasɔmini ninnu bɛ kunnafonidilanw kɛ hakilimaya baarakɛtaw ye.
4. Dɔgɔkun 4nan — Aw ye aw ka latigɛ fɔcogo jɔ : Aw bɛ dɔgɔkun o dɔgɔkun miniti 15 seginnkanni kɛcogo dɔ da. Lundi o juma, i ka AI dashboard da wuli, ka jateminɛ jɔnjɔn duuru lajɛ, ka lasɔmini dɔw lajɛ minnu bɛ daminɛ, ani ka kan nafama ɲininkali kelen kɛ i b’a fɛ ka min dɔn. O delina in dɔrɔn b’i bila ɲɛfɛ ka tɛmɛ jagokɛlaw 80% kan i bonya la.
5. A bɛ senna — A bɛ bonya dɔɔni dɔɔni : kalo fɔlɔ kɔfɛ , aw bɛ mɛtɛrɛ walima sɛgɛsɛgɛli kura kelen fara a kan kalo o kalo . Layer in predictive forecasting for your high impact area (a ka c’a la, feereli pipeline walima inventory). AI ka hakilina di a ka kan ka min sɛgɛsɛgɛ kɔfɛ ka da a bɛ misali minnu sɔrɔ.

Sariyasen kɔrɔlen min bɛ yan, o ye ɲɛtaa gɛlɛya ye. A daminɛ ni mɛtɛrɛ duuru ye. Olu ka master. O kɔ, a’ ye dɔ fara a kan. Jagokɛlaw minnu b’a ɲini ka jateminɛ baara dafalen jɔ su kelen kɔnɔ, a bɛ se ka fɔ ko olu b’a bila tile 90 kɔnɔ tuma bɛɛ.

Diɲɛ lakika bɛ se sɔrɔ : AI jateminɛ bɛ cogo min na waleyali la

Hakilila jɛlenw bɛ kɛ fɛn jɛlenw ye n’i y’a ye k’u bɛ waleya. Nin ye ko saba ye, AI jateminɛ bɛ ROI sumanlen di yɔrɔ minnu na, k’a sɔrɔ kunnafonidilan kelen ma ta.

Sɛbɛn fɔlɔ : E-Commerce Brand

DTC farikolo ladonni taamasiyɛn dɔ min ka san sɔrɔ bɛ $800K sɔrɔ, o tun bɛ musaka kɛ cogo kelen na feereli sira naani kɔnɔ. AI ka jateminɛw y’a jira ko TikTok ye kiliyan minnu sɔrɔ, olu ka CLV tun ye dɔrɔmɛ 127 ye, k’a sɔrɔ Google Shopping kuntigiw ka kiliyanw tun bɛ dɔrɔmɛ 43 dɔrɔn de sɔrɔ — nka Google tun bɛ ka 40% sɔrɔ baarakɛnafolo la. Musakaw tilatilali kokura ka da CLV-weighted attribution kan, o ye dɔ fara sɔrɔ jɛlen kan ni dɔrɔmɛ 14.000 ye kalo o kalo kalo saba kɔnɔ.

Sɛbɛn 2nan : Baarakɛda

Mɔgɔ 12 ka jago baarada min bɛ nizɛrikan na, o ma se k’a faamu mun na nafa sɔrɔli bɛ danfaraba la kiliyanw ni ɲɔgɔn cɛ. AI ka waati ladegeli, fatura, ani porozɛ kunnafoniw sɛgɛsɛgɛli y’a jira ko kiliyan minnu bɛ kalo o kalo marayɔrɔw la minnu bɛ dɔrɔmɛ 3000 jukɔrɔ, olu ye seginnkanni lɛrɛ caman ta dɔrɔmɛ kelen kɔnɔ siɲɛ 2,3 ka tɛmɛ jatebɔsɛbɛnbaw kan. Baarakɛda in y’a ka sɔngɔko siratigɛw n’a ka jɛkafɔ hakɛ fitininw labɛn kokura, ka sɔrɔw yiriwa ni 31% ye k’a sɔrɔ a ma bɔnɛ a ka kiliyan kelen na min bɛ nafa sɔrɔ.

Jateminɛ 3nan : Sigida dumunikɛyɔrɔ jɛkulu

Restoransi jɛkulu min bɛ yɔrɔ saba la, o ye AI ka jateminɛ kɛ walasa ka dɔgɔkun kɔnɔ fɛnw ɲinini fɔ ka da tariku feereli kan, waati kunnafoniw, ani sigida ko kɛlenw kalandriya kan. Dumuni tiɲɛni jigira 24%, wa ko kɔrɔfɔcogo misali y’a jira ko jumadonw sanji bɛ baara kɛ ka ɲɛ tuma bɛɛ — o de y’a to u ye "Storm Special" laseli dɔ daminɛ min y’u ka wulada barikama tigɛli kɛ sɔrɔko su duuru sanfɛ.

Fili minnu bɛ kɛ tuma caman na ko Sabotage Analytics Adoption

Hali ni baarakɛminɛn ɲumanw bɛ u bolo, jagokɛlaw bɛ to ka u yɛrɛ ta tiɲɛ sɛgɛsɛgɛli cɛsiriw. Ni i kɔnna k’o janw dɔn, o bɛ dɔ fara i ka ɲɛtaa sɔrɔli kan kosɛbɛ.

• Nafantan jateminɛw nɔfɛtaama : Sosiyete ka kunnafonidilanw nɔfɛmɔgɔw, sitiw ɲɛw lajɛcogo, ani imayili lisi hakɛ bɛ kɛ koɲuman nka u man teli ka kɛ ni sɔrɔ ye. Aw ye aw sinsin jateminɛw kan minnu bɛ tali kɛ wari la : fɛn caman tigɛli hakɛ, komandi nafa cɛmancɛ, musaka sɔrɔli kelen-kelen bɛɛ la.
• Dɔnniya jogoɲumanya jateminɛni : AI sɛgɛsɛgɛli ka ɲi dɔrɔn i n’a fɔ kunnafonidilan minnu b’a balo. Kunnafoni minnu bɛ sɔrɔ kiliyanw fɛ, olu bɛ ɲɔgɔn falen-falen, tɔgɔdacogo minnu tɛ bɛn ɲɔgɔn ma, ani jagokɛlaw ka kunnafoniw tununnen bɛ hakilinaw lafili minnu bɛ mɔgɔ lafili. Aw ye waati kɛ ka aw ka kunnafoniw saniya sani aw ka jaabi saniyalenw makɔnɔ.
• Sɛgɛsɛgɛli paralizi : Ka se ka mɛtɛrɛ bɛɛ sɔrɔ min bɛ se ka kɛ, o kɔrɔ tɛ ko aw ka kan k’u bɛɛ kɔlɔsi. Ekipu minnu bɛ dashboard 25 lajɛ dɔgɔkun o dɔgɔkun, olu bɛ desizɔnw ta dɔɔnin dɔɔnin ka tɛmɛ ekipuw kan minnu bɛ duuru lajɛ. Dantigɛli bɛ wale bila sen kan.
• Ka wale kɛ hakilinaw kan : Dɛsɛ min ka teli ka kɛ, o tɛ kunnafonidilan juguw walima baarakɛminɛn juguw ye — o ye ka ladilikan jɛlen ye ani ka tugu o kɔ. Ni i ka AI jateminɛw y’a fɔ i ye ko imɛri kanpaɲi minnu bɛ ci taratadon, olu ka baara ka tɛmɛ jumadon kan ni 38% ye, wa i bɛ to ka ci jumadon, o baarakɛminɛn tɛ gɛlɛya ye.

Jagokɛlaw minnu bɛ nafa caman bɔ AI jateminɛw na, olu ka jogo kelen bɛ u ni ɲɔgɔn cɛ : u bɛ kunnafonidilanw jate i n’a fɔ donta ye latigɛw la, u tɛ filɛlikɛlaw ka farikoloɲɛnajɛ ye. Hakilila bɛɛ ka kan ka kɛ sababu ye ka wale dɔ kɛ, hali n’o wale in bɛ k’a latigɛ ni laɲini ye ko a tɛna foyi Changé.

Mun na Plateformes Integrates bɛ BI Tools jɔlenw gosi

Sɛgɛsɛgɛli sugu falen bɛ baarakɛminɛn kɛrɛnkɛrɛnnenw na — Tableau, Power BI, Looker, Metabase — wa u bɛɛ ye seko ni dɔnko fɛnw ye. Nka jagokɛlaw minnu tɛ ni kunnafonidilanw ye minnu y’u yɛrɛ di, gɛlɛya jɔnjɔn dɔ bɛ u ni ɲɔgɔn cɛ: u b’a ɲini i fɛ i ka kɛnɛma kunnafonidilanw siri ɲɔgɔn na, k’u saniya, k’u ladon. O ye waati dafalen baara ye min bɛ a yɛrɛ kɛ porogaramuw abonné ye.

Platifɔmu jɛlenw i n' a fɔ Mewayz bɛ fɛɛrɛ wɛrɛ ta . Ikomi i ka CRM ladɛrɛsiw, fatura tariku, poroze waatibolodacogo, HR sɛbɛnw, ani jatebɔ kunnafoniw bɛ sɔrɔ kaban o sitɛmu kelen kɔnɔ, jateminɛ layɛrɛ bɛ se ka teliya ka kunnafoni nafamaw sɔrɔ, minnu tun bɛ ɲɔgɔn cɛ ka kɔn. ETL pipeline tɛ yen ka jɔ, API jɛɲɔgɔnyaw tɛ yen ka mara, ani data warehouse tɛ yen ka ɲɛnabɔ. I bɛ jateminɛ modulu baara ani ka ɲininkaliw daminɛ.

Ka ɲɛsin sigida ma, Mewayz b’a ka jateminɛ sekow di labɛnw kɔnɔ minnu bɛ daminɛ $19/kalo — BI baarakɛminɛn jɔlenw musaka hakɛ tilayɔrɔba dɔ sanni i ka jateminɛ kɛ jɛkafɔ musakaw la. Wa, k’a sababu kɛ Mewayz bɛ 207 modulu dɛmɛ CRM kɔnɔ, fatura, sarako, HR, kurunbokari, jatebɔ, ani fɛn wɛrɛw, kunnafonidilan minnu bɛ sɔrɔ sɛgɛsɛgɛli kama, olu bɛ bonya cogo la min bɛ kɛ cogo la, n’i ka jago bɛ modulu caman ta. Sɛgɛsɛgɛliw bɛ hakili sɔrɔ n’i ka baarakɛcogo bɛ ka juguya, k’a sɔrɔ labɛn wɛrɛ ma fara a kan.

Sɛbɛnni-yɔrɔ bɛ da tugu

AI sɛgɛsɛgɛliw tali SMBw cɛma, o cayara ni 67% ye san 2024 ni 2025 cɛ, wa a daminɛbagaw bɛ ka taa ɲɛfɛ kaban. U bɛ ka kiliyanw sɔrɔ ka ɲɛ, k’u mara ka mɛn, ka baarakɛcogo latigɛ teliya la ka tɛmɛ ɲɔgɔndankɛlaw kan minnu bɛ u jigi da kalo o kalo P&L lajɛw kan hali bi ani kɔnɔnatumuw.

Sɛbɛnni nafa finɛtiri tɛna da wuli fo abada. Ni AI sɛgɛsɛgɛli bɛ kɛ tabali sɔngɔ ye — wa a bɛna kɛ, kalo 18–24 kɔnɔ — nafa bɛna wuli ka bɔ «sɛgɛsɛgɛli sɔrɔli» la ka taa « kunnafonidilan ɲumanw sɔrɔli la » ani « ka wale kɛ teliya la hakilinaw kan ». Jagokɛyɔrɔ minnu bɛ daminɛ sisan, olu bɛna kɛ ni kalo 18 AI misali kalanlenw ye, latigɛcogo sigilenw, ani jɛkulu ka kunnafonidilanw kalanni, mɔgɔ minnu bɛ na kɔfɛ, olu tɛ se ka minnu surunya.

Tulonkɛ gafe in ye fɛn tilennen ye : k’i ka kunnafoniw bila yɔrɔ kelen na yɔrɔ jɛlen dɔ kan, ka mɛtɛrɛ duuru ta minnu nafa ka bon, ka dɔgɔkun seginnkanni deliko jɔ, ka AI to a ka sɛgɛsɛgɛli girinmanw kɔrɔta. Aw mago t’a la ka kɛ data ekipu ye. I mago bɛ kunnafonidilanw kunnafoni ladamu la — wa baarakɛminɛn minnu bɛ se k’a dɛmɛ, olu ma deli ka sɔrɔ walima ka se ka sɔrɔ ka tɛmɛ nin kan.

Ɲininkali minnu bɛ kɛ tuma caman na

Yala ne mago bɛ fɛɛrɛko seko la walasa ka baara kɛ ni AI-powered analytics ye wa ?

Ayi. Bi AI jateminɛyɔrɔw bɛ baara kɛ ni kanko ɲininkaliw ye minnu bɛ kɛ ni kan nafama ye, o b’a to i bɛ jago ɲininkaliw kɛ tubabukan gansan na ani ka jaabi yelenw sɔrɔ k’a sɔrɔ i ma kode walima formula sɛbɛn.

AI sɛgɛsɛgɛli musaka ye joli ye jagokɛla fitinin dɔ la ?

Platifɔmu jɛlenw i n’a fɔ Mewayz bɛ jateminɛw don labɛnw kɔnɔ minnu bɛ daminɛ dɔrɔmɛ 19/kalo la , n’i y’a suma ni BI baarakɛminɛn jɔlenw ye minnu ka teli ka kɛ dɔrɔmɛ 70-150/baarakɛla/kalo ye ka fara jɛkafɔ musakabaw kan .

n mago bɛ kunnafoni jumɛnw na sani n ka daminɛ ni AI sɛgɛsɛgɛli ye ?

A dɔgɔyalenba la, i mago bɛ kalo 3-6 feereli walima jago tariku ani kiliyanw ka sɛbɛnw na. Ni tariku kunnafoniw bɛ sɔrɔ ka caya, i ka AI kirayakuma ni misali dɔnni bɛna kɛ tiɲɛ ye ka taa a fɛ.

Yala AI sɛgɛsɛgɛli bɛ se ka kɛ kunnafonidilan dɔ nɔnabila ye pewu wa ?

jagokɛyɔrɔ fanba minnu tɛ baarakɛla 50 bɔ , ɔwɔ . AI bɛ misali dɔnni, kofɔli, ani kunnafonidi ɲɛnabɔ minnu tun bɛ sɛgɛsɛgɛlikɛlaw de wajibiya fɔlɔ — hali ni jɛkulubaw walima jɛkulu gɛlɛnw bɛ se ka nafa sɔrɔ hali bi hadamadenw ka kunnafonidilanw fɛ.

a bɛ waati joli ta walasa ka jaabiw ye AI sɛgɛsɛgɛli la ?

Jagokɛyɔrɔ fanba bɛ hakilinaw ye minnu bɛ se ka waleya u sigili dɔgɔkun fɔlɔ kɔnɔ, ni ROI kɔrɔ ye — i n’a fɔ piblisite musaka kɛcogo ɲuman walima churn dɔgɔyali — a ka c’a la, o bɛ bɔ tile 30-60 kɔnɔ baarakɛcogo basigilen kɔnɔ.