Assessment of business intelligence maturity in the selected organizations

The main purpose of this paper is to assess the level of Business Intelligence (BI) maturity in organizations. The research questions I ask in this study are: (1) what possibilities offer BI systems for different organizations, (2) how to measure and evaluate the BI maturity in organizations? The study was based on: (1) a critical analysis of literature, (2) a observation of different BI initiatives undertaken in various organizations, as well as on (3) semi-structured interviews conducted in polish organizations in 2012. Some interviews, conducted in 20 polish enterprises, were held with executives, senior members of staff, and ICT specialists. The reminder of my paper is organized as follows. Firstly, the idea of BI is described. Next, the issue of BI maturity models is recognized. Finally, Garter's Maturity Model for Business Intelligence and Performance Management is used to assess the level of BI in surveyed organizations.

[1]  Cindi Howson,et al.  Successful Business Intelligence: Secrets to Making BI a Killer App , 2007 .

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

[3]  W. H. Inmon,et al.  Dw 2.0: The Architecture for the Next Generation of Data Warehousing , 2008 .

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

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

[6]  Somya Chaudhary,et al.  Management Factors for Strategic BI Success , 2004 .

[7]  Andrew Stein,et al.  The adoption and use of business intelligence solutions in Australia , 2008, Int. J. Intell. Syst. Technol. Appl..

[8]  David James Power,et al.  A brief history of decision support systems , 2003, WWW 2003.

[9]  Thilini Ariyachandra,et al.  Data Warehousing Stages of Growth , 2001, Inf. Syst. Manag..

[10]  Markus Grünwald,et al.  Business Intelligence , 2009, Informatik-Spektrum.

[11]  Thomas H. Davenport,et al.  Analytics at Work: Smarter Decisions, Better Results , 2010 .

[12]  Amit Gupta,et al.  Dimensional Modeling: In a Business Intelligence Environment , 2006 .

[13]  Peter Drucker,et al.  A Brief History of Decision Support Systems , 2006 .

[14]  Irena Hribar,et al.  OVERVIEW OF BUSINESS INTELLIGENCE MATURITY MODELS , 2010 .

[15]  Robert Winter,et al.  Business Intelligence Maturity: Development and Evaluation of a Theoretical Model , 2011, 2011 44th Hawaii International Conference on System Sciences.

[16]  Krzysztof Dembczyński.  Dimensional Modeling , 2009, Encyclopedia of Database Systems.

[17]  David Whiteley,et al.  An Introduction to Information Systems , 2013 .

[18]  Vicki L. Sauter,et al.  Decision Support Systems for Business Intelligence , 2011 .

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

[20]  Thilini Ariyachandra,et al.  Competing with BI and Analytics at Monster Worldwide , 2011, 2011 44th Hawaii International Conference on System Sciences.

[21]  Jeanne G. Harris,et al.  Competing on Analytics: The New Science of Winning , 2007 .

[22]  R. Kelly Rainer,et al.  Business intelligence: an analysis of the literature , 2008, IEEE Engineering Management Review.

[23]  Irena Hribar Rajterič.  Overview of Business Intelligence Maturity Models , 2010 .

[24]  Mark Hammond,et al.  e-Business Intelligence: Turning Information into Knowledge into Profit , 2000 .