BIME: Polokalamu ma ke ʻano he ʻoihana ʻInikua lawelawe

kumuwaiwai bime

Ke hoʻomau nei ka ulu ʻana o ka helu o nā kumuwaiwai ʻikepili, ʻike kālepa Ke piʻi nei ka ʻōnaehana (BI) (hou). ʻO nā ʻōnaehana ʻike ʻoihana e ʻae iā ʻoe e hoʻomohala i ka hōʻike ʻana a me nā dashboard ma luna o ka ʻikepili ma o nā kumuwaiwai āu e hoʻohui ai. BIME he polokalamu ma ke ʻano he lawelawe (SaaS) ʻōnaehana ʻike ʻoihana e ʻae iā ʻoe e hoʻohui i ka pūnaewele a me ka honua ma ka wahi like. Hana i nā pilina i kāu kumuwaiwai ʻikepili āpau, hana a hoʻokō i nā nīnau a nānā maʻalahi i kāu dashboard - nā mea āpau o loko o ka interface intuitive BIME.

Nā Manaʻo BIME

  • Hiki i ka BIME ke hana ma ke ʻano he "mea heluhelu ola", e hana mamao ana a i ka manawa maoli. Eia naʻe, ʻaʻole ia e koi iā ʻoe e hoʻokipa i kāu ʻikepili i ke ao. Eia nō naʻe, he nui nā pono o kēia koho: nānā i kāu ʻikepili i kēlā me kēia manawa a me nā wahi āpau. Kaukaʻi ʻia i ka nui o ka ʻike, hiki iā ʻoe ke hoʻoilina i kāu ʻikepili i Déjà Vu, BimeDB a i ʻole ʻO Google BigQuery.
  • Me BIME loaʻa iā ʻoe kahi maopopo a kūlike ʻole hulina noi ma kāu mau ʻikepili āpau. E kau i nā "mea" āu e makemake ai e kālailai i nā lālani a me nā kolamu a ua pau ʻoe. A laila kānana a ʻokiʻoki iā lākou. Hoʻohui pūʻulu i nā mea, kānana iā lākou ma muli o nā rula paʻakikī a ana paha i ka hopena o kahi loli i kāu helu ʻē aʻe.
  • Me BIME hiki iā ʻoe ke hana nā hiʻohiʻona hiʻohiʻona e hōʻike i nā ʻano a me nā lauana i hūnā ʻia i kāu ʻikepili. Hiki iā ʻoe ke hoʻohālikelike iā lākou ma ka kānana ʻana i ka moʻo a hōʻike i ka ʻikepili i lalo. Hoʻonohonoho ʻia nā mea āpau e hōʻike i ka nui o ka ʻike ma ka palena iki o kahi. Hiki iā ʻoe ke hoʻohana i ke kala a me ka nui o ka hoʻopāʻālua ʻana i laʻana, a i ʻole pāʻani me ka nui o nā koho hoʻonohonoho pilikino pakuhi.
  • Hoʻohālikelike i kāu pūnaewele analytics ʻikepili me kāu keʻena hope, e ana i kāu ROI hōʻeuʻeu maoli i kāu budget spreadsheet. A pau i loko o ka papa dashboard. Ke hoʻohana nei i nā ʻano a me nā ana a BIME, nā loli honua, nā pūʻulu, nā hoʻonohonoho a me nā lālā helu ʻē aʻe i hiki ke nānā i kāu ʻikepili mai kēlā me kēia kihi.
  • Wehe i ka mana o nā hōkeo ʻikepili federated me QueryBlender. Hiki i nā mea hoʻohana ke nīnau i nā kumuwaiwai he nui a hoʻomaopopo iā lākou - me ka nānā ʻole i ka ʻōlelo nīnau, ka faila, a me nā ʻano metadata. ʻAe ʻo QueryBlender i nā mea hoʻohana e kāwili like a pili pono i kekahi ʻike, mai nā papakaumaka hoʻoilina a me nā hōkeoʻikepili pili nui e ola i ka ʻikepili mai Google Analytics, Google Apps, salesforce.com, a i ʻole Amazon Web Services.
  • Hoʻohui pūʻulu i nā mea, kānana iā lākou ma muli o nā rula paʻakikī a ana paha i ka hopena o kahi loli i kāu helu ʻē aʻe. ʻO BIME's ʻenekini helu Loaʻa iā ʻoe nā mea āpau e pono ai, a ʻoi aku. Mai makaʻu e kākau kuhi; Loaʻa iā mākou kahi mea hoʻohana nani no ka hana ʻana i nā helu maʻamau maʻamau. E mālama nā koho Post-Process iā ʻoe i mau hola a ʻae iā ʻoe e hoʻokō i nā helu maʻamau me ka ʻole o ke kākau ʻana i hoʻokahi ʻano.

kela BIME hoʻomaka ka laikini me 20 dashboard, 10 ʻike pili, 1 mea hoʻolālā a me nā mea nānā palena palena palena ʻole.

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