Structuring Collaborative Business Intelligence: A Literature Review

Abstract

Cooperative work in the processes of analysis and decision support currently gains strong attention in the business world. This is motivated by spreading corporate structures and technical developments like social media and network-oriented data storage that encourage the users' comprehension and demand for easy communication about data. This article reflects the state of research in the domain of business intelligence regarding the opening of processes for new data sources and analysts. Existing approaches are often labeled collaborative business intelligence (CBI), but differ heavily in definitions and focus. Therefore, a framework is presented and three main fields for the research of CBI are identified, which encompass internal communication, data storage with (external) partners and data analysis with partners. This article compares the findings with developments on the software market and describes open topics in the research domain.

Towards Collaborative Business Intelligent Framework: Crowdsourcing Approach

“…The development was quite successful, but the main drawback is data quality. We can divide collaborative BI for three types: internal analysis, partnership in data, partnership in analysis (Kaufmann, 2014). Internal -collaborative BI that is implemented within single business, coworkers from different departments are gathered to solve some problems, for example lead of some IT team can have meeting with someone from accountant department to share opinions about their new financial product.…”

The New Era of Business Intelligence Applications: Building from a Collaborative Point of View

“…In a survey of the area, covering several approaches on collaborative BI, we can establish three well differentiated groups (Kaufmann and Chamoni 2014). Most existing approaches (Dayal et al 2008;Berthold et al 2010;Devlin 2012) understand Collaborative BI as a technology-driven development, i.e.…”

Business intelligence for Business Intelligence: A case study at STMicroelectronics

“…This is performed by means of collecting, storing and managing data [5]. BI applications and methodologies aim to support a deeper understanding of the business [5] and a provision of the appropriate data with the appropriate quality according to the users' needs [6].…”