Business Intelligence Applied : Implementing an Effective Information and Communications Technology Infrastructure /

BExpert guidance for building an information communication and technology infrastructure that provides best in business intelligence/b Enterprise performance management (EPM) technology has been rapidly advancing, especially in the areas of predictive analysis and cloud-based solutions. Business int...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Gendron, Michael S., 1957-
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken, New Jersey : WILEY, 2013.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη:BExpert guidance for building an information communication and technology infrastructure that provides best in business intelligence/b Enterprise performance management (EPM) technology has been rapidly advancing, especially in the areas of predictive analysis and cloud-based solutions. Business intelligence caught on as a concept in the business world as the business strategy application of data warehousing in the early 2000s. With the recent surge in interest in data analytics and big data, it has seen a renewed level of interest as the ability of a business to find the valuable data in a timely'and competitive'fashion. iBusiness Intelligence Applied/i reveals essential information for building an optimal and effective information and communication technology (ICT) infrastructure.ulliDefines ICT infrastructure/liliExamines best practices for documenting business change and for documenting technology recommendations/liliIncludes examples and cases from Europe and Asia/liliWritten for business intelligence staff, CIOs, CTOs, and technology managers/li/ul With examples and cases from Europe and Asia, iBusiness Intelligence Applied/i expertly covers business intelligence, a hot topic in business today as a key element to business and data analytics.
Φυσική περιγραφή:1 online resource.
Βιβλιογραφία:Includes bibliographical references and index.
ISBN:9781119203735
1119203732
DOI:10.1002/9781119203735