Management Support with Structured and Unstructured Data—An Integrated Business Intelligence Framework

Baars, Henning; Kemper, Hans-George

doi:10.1080/10580530801941058

Cited by 260 publications

(127 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As pointed out by Rolker (2000), the quality of the information circulated by several sources is a major problem encountered by information users. This is because most of the information sources are not well-structured and, hence, they cannot be relied upon to get information with high quality attributes (Baars & Kemper, 2008). The quality of information received can be measured against its attributes or dimensions, such as accuracy, accessibility, relevancy, timeliness, completeness, interpretability.…”

mentioning

confidence: 99%

The Moderating Effect of Organisational Structure on Information Quality and Decision-Making Effectiveness Link

Abumandil¹,

Hassan²

2016

European Proceedings of Social &Amp; Behavioural Sciences

View full text Add to dashboard Cite

Banks in Palestine are an important source of businesses and organizations for financing and bank's managers have to make effective decisions. The literature indicates the important role of information quality to facilitate managers to make effective decisions. Information quality dimensions of accuracy, accessibility, relevancy, completeness, accuracy, and timeliness are the factors that determine whether the information received by managers meet the quality. In this paper we argue that the effective decision making effectiveness depends on the structure of the organization. A formalized organizational structure, for example, is likely to affect the information quality, and, hence, the decision-making process. In essence, this paper proposes the moderating effect of organizational structure on the link between information quality and decision making effectiveness.

show abstract

mentioning

confidence: 99%

The Moderating Effect of Organisational Structure on Information Quality and Decision-Making Effectiveness Link

Abumandil¹,

Hassan²

2016

European Proceedings of Social &Amp; Behavioural Sciences

View full text Add to dashboard Cite

show abstract

“…Służą one do zbierania, integracji, analizy, odkrywania nowej wiedzy oraz wizualizacji danych, pochodzą-cych z różnych, rozproszonych, heterogenicznych źródeł informacji [Albescu i in. 2008;Baaras, Kemper 2008;Chung i in. 2005;Wixom, Watson 2010;Olszak 2013].…”

Section: Wybrane Narzędzia Informatyczne Do Wspomagania Twórczości Orunclassified

Zarys koncepcji komputerowego wspomagania twórczości organizacyjnej

Bratnicki

Olszak

Kisielnicki

2014

Informatyka Ekonomiczna

View full text Add to dashboard Cite

“…By Structured data we mean data that can be allocated to particular fields and can be handled by computing resources [4]. It has great degree of organization, so it can be inserted into relational databases very smoothly (Fig.…”

Section: Structured and Unstructured Datamentioning

confidence: 99%

“…But the main challenge that they face is how to combine the enormous amount of information to increase the profits across entire industry, from customer satisfaction to product development and sales etc. [4].…”

Section: Big Data Analyticsmentioning

confidence: 99%

Framework for Targeting High Value Customers and Potential Churn Customers in Telecom using Big Data Analytics

Singh¹,

Singh²

2017

IJEME

View full text Add to dashboard Cite

Since the more importance is played on customer's behavior in today's business market, telecom companies are not only focusing on customer's profitability to increase their market share but also on their potential churn customers who could terminate the relation with the company in near future. Big data promises to promote growth and increase efficiency and profitability across the entire telecom value chain. This paper presents a framework for targeting high value customers and potential churn customers. Firstly, customers are segmented on basis of RFM (Recency-Frequency-Monetary) analysis and finally customers in each segment are targeted by various offers on basis of their similar characteristics.

show abstract

Management Support with Structured and Unstructured Data—An Integrated Business Intelligence Framework

Cited by 260 publications

References 24 publications

The Moderating Effect of Organisational Structure on Information Quality and Decision-Making Effectiveness Link

The Moderating Effect of Organisational Structure on Information Quality and Decision-Making Effectiveness Link

Zarys koncepcji komputerowego wspomagania twórczości organizacyjnej

Framework for Targeting High Value Customers and Potential Churn Customers in Telecom using Big Data Analytics

Contact Info

Product

Resources

About