From Business Intelligence Insights to Actions: A Methodology for Closing the Sense-and-Respond Loop in the Adaptive Enterprise

Business Intelligence (BI) and analytics play a critical role in modern businesses by assisting them to gain insights about internal operations and the external environment and to make timely data-driven decisions. Actions resulting from these insights often require changes to various parts of the enterprise. A significant challenge in these contexts is to systematically connect and coordinate the BI-driven insights with consequent enterprise decisions and actions. This paper proposes a methodology for closing the gap between what an enterprise senses from BI-driven insights and its response actions and changes. This methodology adopts and synthesizes existing modeling frameworks, mainly i * and the Business Intelligence Model (BIM), to provide a coherent step-by-step way of connecting the sensed signals of the enterprise to subsequent responses, and hence to make BI and analytics more actionable and understandable. Applicability of the proposed methodology is illustrated in a case scenario.

[1]  Markus Ettl,et al.  Sense and Respond Business Performance Management , 2005 .

[2]  Juan Trujillo,et al.  A Trace Metamodel Proposal Based on the Model Driven Architecture Framework for the Traceability of User Requirements in Data Warehouses , 2011, CAiSE.

[3]  Zeljko Panian.  Actionable business intelligence: how to make it available through service-oriented architectures , 2008 .

[4]  John Mylopoulos,et al.  Strategic business modeling: representation and reasoning , 2014, Software & Systems Modeling.

[5]  Francis D. Tuggle,et al.  Strategy Maps: Converting Intangible Assets into Tangible Outcomes , 2004 .

[6]  Florian Matthes,et al.  Trends in Enterprise Architecture Research and Practice-Driven Research on Enterprise Transformation , 2012, Lecture Notes in Business Information Processing.

[7]  Iluju Kiringa,et al.  The Conceptual Integration Modeling Framework: Abstracting from the Multidimensional Model , 2010, ArXiv.

[8]  Stephen H. Haeckel.  Adaptive enterprise design: The sense‐and‐respond model , 1995 .

[9]  John Mylopoulos,et al.  Business Intelligence Modeling in Action: A Hospital Case Study , 2012, CAiSE.

[10]  Katarina Stanoevska-Slabeva,et al.  E-Technologies: Transformation in a Connected World - 5th International Conference, MCETECH 2011, Les Diablerets, Switzerland, January 23-26, 2011, Revised Selected Papers , 2011, MCETECH.

[11]  John Mylopoulos,et al.  Making Data Meaningful: The Business Intelligence Model and Its Formal Semantics in Description Logics , 2012, OTM Conferences.

[12]  S. Haeckel.  Peripheral Vision: Sensing and Acting on Weak Signals: Making Meaning out of Apparent Noise: The Need for a New Managerial Framework , 2004 .

[13]  John Mylopoulos,et al.  The Business Intelligence Model : Strategic Modelling version 1 . 0 , 2010 .

[14]  John Mylopoulos,et al.  Enterprise Modeling for Business Intelligence , 2010, PoEM.

[15]  Stephen Fickas,et al.  Goal-Directed Requirements Acquisition , 1993, Sci. Comput. Program..

[16]  Zeljko Panian.  Just-in-time business intelligence and real-time decisioning , 2009 .

[17]  Ioana Stanoi,et al.  Model Driven Development for Business Performance Management , 2006, IBM Syst. J..

[18]  John Mylopoulos,et al.  Towards Model-Based Support for Managing Organizational Transformation , 2011, MCETECH.

[19]  Eric Yu,et al.  Social Modeling for Requirements Engineering , 2011, Cooperative information systems.

[20]  R. Kaplan,et al.  The Balanced Scorecard: Translating Strategy into Action , 1996 .

[21]  Kamal Bhattacharya,et al.  A technical framework for sense-and-respond business management , 2005, IBM Syst. J..

[22]  Eric S. K. Yu,et al.  Enterprise Architecture for the Adaptive Enterprise - A Vision Paper , 2012, TEAR/PRET.

[23]  Veda C. Storey,et al.  Business Intelligence and Analytics: From Big Data to Big Impact , 2012, MIS Q..

[24]  Juan Trujillo,et al.  Incorporating Traceability in Conceptual Models for Data Warehouses by Using MDA , 2011, ER.

[25]  Eric S. K. Yu,et al.  Adapting to uncertain and evolving enterprise requirements: The case of business-driven business intelligence , 2013, IEEE 7th International Conference on Research Challenges in Information Science (RCIS).

[26]  Winanda G Geerman.  The Balanced Scorecard: Translating Strategy into Action , 2014 .

[27]  A Min Tjoa,et al.  Sense & response service architecture (SARESA): an approach towards a real-time business intelligence solution and its use for a fraud detection application , 2005, DOLAP '05.

[28]  Yves Pigneur,et al.  Business Model Generation: A handbook for visionaries, game changers and challengers , 2010 .

[29]  Eric Yu,et al.  Modeling Strategic Relationships for Process Reengineering , 1995, Social Modeling for Requirements Engineering.

[30]  John Mylopoulos,et al.  Non-Functional Requirements in Software Engineering , 2000, International Series in Software Engineering.

[31]  Daniel Amyot,et al.  Practical applications of i∗ in industry: The state of the art , 2013, 2013 21st IEEE International Requirements Engineering Conference (RE).

[32]  Tharam S. Dillon,et al.  On the Move to Meaningful Internet Systems, OTM 2010 , 2010, Lecture Notes in Computer Science.

[33]  Tian Chao,et al.  Sense-and-respond supply chain using model-driven techniques , 2007, IBM Syst. J..

[34]  Eric S. K. Yu,et al.  Towards modelling and reasoning support for early-phase requirements engineering , 1997, Proceedings of ISRE '97: 3rd IEEE International Symposium on Requirements Engineering.

[35]  Adrian J. Slywotzky,et al.  Adaptive Enterprise: Creating and Leading Sense-And-Respond Organizations , 1999 .

[36]  Tok Wang Ling,et al.  Conceptual Modeling - ER 2011, 30th International Conference, ER 2011, Brussels, Belgium, October 31 - November 3, 2011. Proceedings , 2011, ER.