Using Business Intelligence in IT Governance Decision Making

‘Business Intelligence’ (BI) has been widely used to describe the process of gathering, analyzing and transforming large amounts of data into information useful for decision making. This paper examines BI from a decisionmaker’s perspective in an IT governance context through a case study of a large Scandinavian financial institution. The key findings indicate that BI is primarily used to inform structured operational decisions and as an instrument for dialogue in unstructured strategic decisions. Our study shows how ‘hard facts’ provided by BI are used as a foundation for opening a dialogue and as a supporting instrument to make arguments seem more convincing during decision-making discussions. We also found that standard performance reporting is used more for operational decision making, whereas predictive analytics are utilized primarily in strategic decision making. These results can assist managers looking to improve their operational and strategic decision-making processes by indicating the appropriate type of BI for each type of decision.

[1]  Oyku Isik,et al.  Business Intelligence Success: An Empirical Evaluation of the Role of BI Capabilities and the Decision Environment , 2010 .

[2]  Hans Peter Luhn,et al.  A Business Intelligence System , 1958, IBM J. Res. Dev..

[3]  Brent K. Bailey,et al.  Prepared by the , 1989 .

[4]  Barbara Wixom,et al.  The BI-Based Organization , 2010, Int. J. Bus. Intell. Res..

[5]  T. Davenport Competing on analytics. , 2006, Harvard business review.

[6]  Richard T. Watson,et al.  Analyzing the Past to Prepare for the Future: Writing a Literature Review , 2002, MIS Q..

[7]  Matteo Golfarelli,et al.  Beyond data warehousing: what's next in business intelligence? , 2004, DOLAP '04.

[8]  Paul C. Kinsinger The “business intelligence” challenge in the context of regional risk , 2007 .

[9]  Richard J. Varey The Knowing Organization: : How Organizations Use Information to Construct Meaning, Create Knowledge, and Make Decisions , 2013 .

[10]  K Bhate,et al.  Towards an understanding. , 1987 .

[11]  Thornton May,et al.  The New Know: Innovation Powered by Analytics , 2009 .

[12]  Izak Benbasat,et al.  The Case Research Strategy in Studies of Information Systems , 1987, MIS Q..

[13]  Tore Dybå,et al.  Empirical studies of agile software development: A systematic review , 2008, Inf. Softw. Technol..

[14]  B. Barnes,et al.  Review: The Data Warehouse Toolkit (Second Edition) , 2003 .

[15]  David M. Steiger,et al.  Decision Support as Knowledge Creation: A Business Intelligence Design Theory , 2010, Int. J. Bus. Intell. Res..

[16]  Jay F. Nunamaker,et al.  A Visual Framework for Knowledge Discovery on the Web: An Empirical Study of Business Intelligence Exploration , 2005, J. Manag. Inf. Syst..

[17]  Efraim Turban,et al.  Business Intelligence: Second European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures , 2013 .

[18]  Ralph H. Sprague,et al.  A Framework for the Development of Decision Support Systems , 1993 .

[19]  Hamid Pirahesh,et al.  Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals , 1996, Data Mining and Knowledge Discovery.

[20]  Pamela Jordan Basics of qualitative research: Grounded theory procedures and techniques , 1994 .

[21]  Herbert A. Simon,et al.  The new science of management decision , 1960 .

[22]  Mark E. Borsuk,et al.  Concepts of decision support for river rehabilitation , 2007, Environ. Model. Softw..

[23]  Thomas H. Davenport,et al.  Business Intelligence and Organizational Decisions , 2010, Int. J. Bus. Intell. Res..

[24]  John F. Rockart,et al.  Executive Support Systems: The Emergence of Top Management Computer Use , 1988 .

[25]  Wanda Presthus,et al.  E-business in entertainment: Insights from the use of Business Intelligence in the Norwegian music industry , 2010, AMCIS.

[26]  Graham Pervan,et al.  Eight key issues for the decision support systems discipline , 2008, Decis. Support Syst..

[27]  Karlheinz Kautz,et al.  Towards an Understanding of Business Intelligence , 2010 .

[28]  W. H. Inmon,et al.  Building the data warehouse , 1992 .

[29]  Ralph H. Sprague,et al.  Invited Article: A Framework for the Development of Decisoin Support Systems , 1980, MIS Q..

[30]  Surajit Chaudhuri,et al.  An overview of data warehousing and OLAP technology , 1997, SGMD.

[31]  H. Simon,et al.  The New Science of Management Decision, Revised Edition. , 1977 .

[32]  Mary Bradley,et al.  Working Knowledge: How Organizations Manage What They Know , 2000 .

[33]  Hans-Georg Kemper,et al.  Management Support with Structured and Unstructured Data—An Integrated Business Intelligence Framework , 2008, Inf. Syst. Manag..

[34]  G. Dessler A Framework for Management , 2001 .

[35]  Mohammad Shariat,et al.  CONCEPTUALIZING BUSINESS INTELLIGENCE ARCHITECTURE , 2007 .

[36]  Ammon Salter,et al.  Does IP strategy have to cripple open innovation , 2009 .

[37]  Ingrid Schirmer,et al.  Governance and Sustainability in Information Systems. Managing the Transfer and Diffusion of IT - IFIP WG 8.6 International Working Conference, Hamburg, Germany, September 22-24, 2011. Proceedings , 2011, Governance and Sustainability in Information Systems.

[38]  J. Stuart Bunderson,et al.  Idea: When to put the brakes on learning , 2003 .

[39]  Alan Fowler,et al.  The role of AI-based technology in support of the knowledge management value activity cycle , 2000, J. Strateg. Inf. Syst..

[40]  James G. March,et al.  A primer on decision making : how decisions happen , 1994 .

[41]  Liang-Cheng Chang,et al.  Dynamic interactive framework to link business intelligence with strategy , 2007, Int. J. Inf. Technol. Manag..

[42]  Ronald Batenburg,et al.  Organising for Business Intelligence: A Framework for Aligning the Use and Development of Information , 2007, Bled eConference.

[43]  Thomas D. Clark,et al.  The Dynamic Structure of Management Support Systems: Theory Development, Research Focus, and Direction , 2007, MIS Q..