Business Intelligence for Small and Medium-Sized Enterprises

Lila Rao is the deputy executive director and a senior lecturer in Information Systems at the Mona School of Business and Management, The University of the West Indies (UWI). She holds a PhD in Information Systems from The University of the West Indies. She lectures courses in Database Management Systems, Enterprise Data Management and Business Analytics. Her research interests include Business Intelligence, Data Quality. Knowledge Management and Decision Support Systems.Gunjan Mansingh is head of the Department and a Senior Lecturer at the Department of Computing, The University of the West Indies (UWI), Mona, Jamaica. She holds a PhD in Information Systems from The University of the West Indies. She lectures courses in Business Intelligence, Programming, Artificial Intelligence and Knowledge Discovery and Analytics. Her research interests include Business Intelligence, Data Mining, Machine Leaning, Decision Support Systems, Knowledge Management and Expert Systems.Maurice McNaughton is the director of the Centre of Excellence for IT-enabled Innovation at the Mona School of Business and Management, The University of the West Indies (UWI). He holds a PhD in Decision Sciences from Georgia State University. He lectures courses in Modelling and Decision Support Systems; IT Economics; IT Governance and Strategic use of ICT. His research interest spans the domain of emerging Open ICT ecosystems, and includes Open Source Software, Open/Big Data, Mobile and Cloud Computing.

• 1. Introduction. Conceptions of Agility and Business Intelligence for SMEs. Part I. BI Landscape - Opportunities for SMEs. Chapter 1. Barriers and Strategies for Enterprise ICT Adoption in SMEs. Chapter 2. An Agile Integrated Methodology for Strategic Business Intelligence (AIMS-BI). Part II. Navigating the Aile BI Process. Chapter 3. Information Management (IM) Maturity Assessment: Evaluating Business Capabilities and Gaps. Chapter 4. Creating BI Portfolios. Chapter 5. The Process and Value of Building Proof-of-Concept Prototypes. Chapter 6. Data Governance and Data Quality Management. Chapter 7. Data Integration: Managing Data Sources for Agility. Part III. A Blueprint for Action. Chapter 8. Developing a Roadmap for Strategic Business Intelligence. Chapter 9. Creating Business Value from Data Assets. Epilogue: Lessons Learned. Appendix: Case Studies.