Business intelligence (BI) has evolved over several years as organizations have extended their online transaction processing (OLTP) capabilities and applications to support their routine operations. With online analytical processing (OLAP), organizations have also established the capability to extract internal and external data from a variety of sources to specifically obtain intelligence about non-routine and often less-structured arrangements. BI therefore refers to applications and technologies that are used to gather, provide access to, and analyze data and information about the operations of an organization. It has the capability of providing comprehensive insight into the more volatile factors affecting the business and its operations, thereby facilitating enhanced decision-making quality and contributing to the creation of business value. Larger and more sophisticated organizations have long been exploiting these capabilities. Business Intelligence for Small and Medium-Sized Enterprises (SMEs) guides SMEs in replicating this experience to provide an agile roadmap toward business sustainability.
The book points out that successful BI implementations have generated significant increases in revenue and cost savings, however, the failure rates are also very high. More importantly, it emphasizes that a full range of BI capabilities is not the exclusive purview of large organizations. It shows how SMEs make extensive use of BI techniques to develop the kind of agility endowing them with the organizational capability to sense and respond to opportunities and threats in an increasingly dynamic business environment. It points to the way to a market environment in which smaller organizations could have a larger role. In particular, the book explains that by establishing the agility to leverage internal and external data and information assets, SMEs can enhance their competitiveness by having a comprehensive understanding of the key to an agile roadmap for business sustainability.
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.