Abstract
Integration of business intelligence and corporate strategic management has adirect impact on modern and flexible organizations. This integration helps decision makers toimplement their corporate strategies, adapt easily to changes in the environment, and gaincompetitive advantages. This paper extends the studies in this domain, and clarifies therelationships between business intelligence and strategic management. It highlights also therole of business intelligence in corporate performance management and strategic intelligence.This paper proposes a BSC-BI framework that facilitates the integration of business intelligencewith a balanced scorecard methodology. The BSC-BI framework implementation isdemonstrated using a case study on the telecom field.
Highlights
Dresner introduced business intelligence in the year 1989, as an umbrella term that “describe a set of concepts and methods to improve business decision making by using fact-based support systems” (Power, 2007)
The use of business intelligence for corporate objective-setting is based on the tools that provide historical data that directly inform the setting of objectives for subsequent planning periods
The BSC-business intelligence (BI) framework is able to test past activities against planned results and use the findings for setting objectives
Summary
Dresner introduced business intelligence in the year 1989, as an umbrella term that “describe a set of concepts and methods to improve business decision making by using fact-based support systems” (Power, 2007). Business intelligence is an environment in which ‘marrying’ business knowledge and data mining provides great results (Anand, Bell, and Hughes, 1995; Cody, Kreulen, Krishna, and Spangler, 2002; Weiss, Buckley, Kapoor, and Damgaard, 2003; Graco, Semenova, and Dubossarsky, 2007). Alnoukari considers business intelligence as "a framework that helps organizations managing, developing and communicating their information and knowledge. It can be considered as an imperative framework in the current knowledge-based economy arena" (Alnoukari, 2012). Weiss et al 2003 define business intelligence as the “combination of data mining, data warehousing, knowledge management, and traditional decision support systems” (Weiss, Buckley, Kapoor, & Damgaard, 2003). Business intelligence systems can have multiple benefits including: faster access to information, big data complexes, increasing revenue, better customer satisfaction and generating or improving competitiveness of enterprises (Brinkmann, 2015)
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