La ka maikaʻi o ka ʻikepili si riferisce alla precisione, completezza e affidabilità delle informazioni contenute in un insieme di dati. È fondamentale garantire una buona ka maikaʻi o ka ʻikepili per prendere decisioni accurate e affidabili. La valutazione e il monitoraggio della ka maikaʻi o ka ʻikepili sono importanti per assicurare che siano adeguati alle esigenze e agli obiettivi di un’organizzazione.
La ka maikaʻi o ka ʻikepili no ka Pūnaewele Pūnaewele Pūnaewele è data dalla seguente frase : “un ua haawiia non di qualità è un costo per la azienda, e la ka maikaʻi o ka ʻikepili pono e emi iho ke kumu kuai”.
I dati nā aila o ka millennium hou, i ʻike nui he ʻenehana hōʻino lākou no ka mea ʻoi aku ka nui o ka loli, ʻoi aku ka nui o ka hana hou. Pūnaewele pūnaewele pūnaewele manaoio ka ka maikaʻi o ka ʻikepili ʻo ia ka wā e hiki mai ana, a ua haawiia ʻaʻole ka maikaʻi he kumukūʻai no nā ʻoihana a dati pono e emi mau ke kumu kūʻai o nā huahana.
Pūnaewele Pūnaewele Pūnaewele hana ma dati, a ʻaʻole wale nā mea kokoke iā mākou e koho iā mākou.
I dati i ke ʻano uila i hana nui i ka ʻike a me ka ʻenehana kamaʻilio (ICT) kaiāulu a mahalo i kā lākou hoʻolaha ʻana i ka "maikaʻi" o dati i ka palapala uila a me kona hopena ma nā ʻano hana like ʻole o ke kaiāulu ICT e lilo ana i mea nui.
Ke koʻikoʻi o ka maikaʻi o ka ʻikepili i nā kaʻina hana hoʻoholo i hōʻike ʻia i loko o ka ʻōlelo ʻEulopa Statistics kūlana maikaʻi: "Hāʻawi mākou i ka European Union a me ka honua me ka ʻike kiʻekiʻe e pili ana i ka hoʻokele waiwai a me ke kaiāulu ma ʻEulopa, ka pae ʻāina a me ka pae, a hāʻawi mākou i kēia ʻike i kēlā me kēia. ma ke ʻano he kākoʻo i nā hana hoʻoholo, noiʻi a hoʻopaʻapaʻa. " I ka ka maikaʻi o ka ʻikepili, un ua haawiia ʻaʻole ka maikaʻi he kumukūʻai no nā ʻoihana a dati pono e emi mau ke kumu kūʻai o nā huahana.
ʻO ka Institute Warehousing Institute, i kahi hōʻike 2002 ma ka maikaʻi o ka ʻikepili, hoʻopaʻapaʻa aia he āpau nui ma waena o ka ʻike a me ka ʻoiaʻiʻo o ka maikaʻi o ka ʻikepili i nā hui he nui, a me kēlā mau pilikia e pili ana i ka maikaʻi o ka ʻikepili lilo aku nā ʻoihana US ma mua o $ 600 biliona i kēlā me kēia makahiki, a i loko ka maikaʻi o ka ʻikepili, un ua haawiia ʻaʻole ka maikaʻi he kumukūʻai no nā ʻoihana a dati pono e emi mau ke kumu kūʻai o nā huahana.
I dati i ka palapala uila ʻoi aku ka maikaʻi o kā lākou qualitative ma mua o dati waiho ʻia ma nā palapala pepa, inā ka ka maikaʻi o ka ʻikepili: a ' ua haawiia ʻaʻole ka maikaʻi he kumukūʻai no nā ʻoihana a dati pono e emi mau ke kumu kūʻai o nā huahana.
Pūnaewele Pūnaewele Pūnaewele hana ma Ka ʻikepili ʻikepili kahi, ka pono e hoʻomaopopo a hoʻonā i nā pilikia maikaʻi a no laila e ʻike i nā pane i nā nīnau aʻe: He aha ka ka maikaʻi o ka ʻikepili? ʻO nā ʻenehana, nā hana hana a me nā pilikia kū i ka ka maikaʻi o ka ʻikepili ua hoʻohui ʻia lākou? He aha nā ala kokoke a kaulana loa? He aha nā pilikia i hoʻoponopono ʻole ʻia?
Ua hoʻolaha ʻia nā ʻaha kūkā lehulehu e nā kaiāulu i loaʻa nā kumu o dati a me nā ʻōnaehana ʻike e like me ke kahua nui o ka hoʻokolokolo; ʻo ka paʻi mua o ka International Conference on Information Quality (ICIQ), i hoʻonohonoho maʻamau ʻia ma ka Massachusetts Institute of Technology (MIT) ma Boston, mai ka makahiki 1996; ua kākoʻo ka International Workshop on Information Quality in Information Systems (IQIS) i ka hālāwai SIGMOD mai 2004; ua mālama ʻia ka seminar International Data and Information Quality (DIQ) i loko o ka Conference on Advanced Information Systems Engineering (CAiSE) mai 2004; a ua mālama ʻia ka seminar honua Quality of Information Systems (QoIS), i hui pū me ka Entity Relationship (ER) conference mai 2005. France, Germania a ma Amerika Huipuia.
In Pūnaewele pūnaewele pūnaewele, hana mākou i ka noiʻi a me ka hoʻomohala ʻana ma ka maikaʻi o ka ʻikepili, ʻaʻole wale ka poʻe kokoke iā mākou e koho iā mākou.
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E ʻike hou aʻe mai ka Pūnaewele Pūnaewele Pūnaewele
E kau inoa no ka loaʻa ʻana o nā ʻatikala hou loa ma ka leka uila.
