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Data intelligence and analytics : a bibliometric analysis of human-Artificial intelligence in public sector decision-making effectiveness

Di Vaio, Assunta; Hassan, Rohail; Alavoine, Claude - In: Technological forecasting & social change : an … 174 (2022), pp. 1-17

Persistent link: https://www.econbiz.de/10013209472

Infonomics : How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage

Laney, Douglas B. - 2017 - First edition.

chapter Introduction -- part Part I Monetizing Information as an Asset -- chapter 1 Why Monetize Information -- chapter 2 Prime Ways to Monetize Information -- chapter 3 Methods for Monetizing Information -- chapter 4 Analytics: The Engine of Information Monetization -- part Part II Managing...

Persistent link: https://www.econbiz.de/10013181761

The impact of business intelligence systems on management accounting systems : the consultant's perspective

Nespeca, Andrea; Chiucchi, Maria Serena - In: Network, Smart and Open : Three Keywords for …, (pp. 283-297). 2018

Persistent link: https://www.econbiz.de/10013357351

Artificial Intelligence in Accounting and Auditing : Accessing the Corporate Implications

Pierotti, Mariarita; Monreale, Anna; De Santis, Federica - 2024

1. The new corporate data ecosystem (Federica De Santis) -- 2. From data to corporate decision-making process (Mariarita Pierotti) -- 3. An introduction to Artificial Intelligence (Anna Monreale) -- 4. The need of Trustworthy Artificial intelligence (Anna Monreale) -- 5. Artificial Intelligence...

Persistent link: https://www.econbiz.de/10015081235

Analytische Informationssysteme : Business Intelligence-Technologien und -Anwendungen

Gluchowski, Peter (ed.); Chamoni, Peter (ed.) - 2016 - 5., vollst. überarb. Aufl. 2016

Vorwörter -- Teil I: Grundlagen und organisatorische Aspekte -- Teil II: Architektur und Technologien -- Teil III: Betriebswirtschaftliche Anwendungen und spezielle Aspekte -- Stichwort- und Autorenverzeichnis.

Persistent link: https://www.econbiz.de/10014277643

Customer-centric sales forecasting model : RFM-ARIMA approach

Londhe, Sanket Tanaji; Palwe, Sushila - In: Business systems research : a system view accross … 13 (2022) 1, pp. 35-45

Background: Decision makers use the process of determining the best course of action by processing, analysing & interpreting the data to gain insights, known as Business Intelligence. Some decision support systems use sales figures to predict future expansion, but few consider the effect of...

Persistent link: https://www.econbiz.de/10013542067