Business Intelligence in Environmental Reporting Powered by XBRL

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F14%3A00219077" target="_blank" >RIV/62156489:43110/14:00219077 - isvavai.cz</a>

Výsledek na webu

<a href="http://acta.mendelu.cz/pdf/actaun201462020355.pdf" target="_blank" >http://acta.mendelu.cz/pdf/actaun201462020355.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11118/actaun201462020355" target="_blank" >10.11118/actaun201462020355</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Business Intelligence in Environmental Reporting Powered by XBRL

Popis výsledku v původním jazyce

Today, companies are handling increasing amounts of transactional data. This phenomenon commonly named as "Big Data", has transformed from a vague description of massive corporate data to a household term that refers to not just volume but the diversityof data and velocity of change. Commonly used approach leads to usage of Business Intelligence (BI) technologies used not only to environmental reporting purposes, but also used for a data discovery discipline. The critical issue in general data processing tasks is to get the right information quickly, near to real time, targeted, and eff ectively. This article aims on several critical points of the whole concept of BI environmental reporting powered by XBRL. First, and most important, is the usage of structured data delivered via XBRL. The main profi t on usage of XBRL is the optimization of the ETL process and its combination commonly used best practices on data warehouse models. The whole BI workfl ow could be moved further by additi

Název v anglickém jazyce

Business Intelligence in Environmental Reporting Powered by XBRL

Popis výsledku anglicky

Today, companies are handling increasing amounts of transactional data. This phenomenon commonly named as "Big Data", has transformed from a vague description of massive corporate data to a household term that refers to not just volume but the diversityof data and velocity of change. Commonly used approach leads to usage of Business Intelligence (BI) technologies used not only to environmental reporting purposes, but also used for a data discovery discipline. The critical issue in general data processing tasks is to get the right information quickly, near to real time, targeted, and eff ectively. This article aims on several critical points of the whole concept of BI environmental reporting powered by XBRL. First, and most important, is the usage of structured data delivered via XBRL. The main profi t on usage of XBRL is the optimization of the ETL process and its combination commonly used best practices on data warehouse models. The whole BI workfl ow could be moved further by additi

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA14-23079S" target="_blank" >GA14-23079S: Měření podnikové udržitelosti ve vybraných odvětvích</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

ISSN

1211-8516

e-ISSN

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Svazek periodika

62

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

355-362

Kód UT WoS článku

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EID výsledku v databázi Scopus

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