In an era where data is a crucial resource, small and medium-sized enterprises (SMEs) must harness analytics to remain competitive. This research paper synthesizes existing studies on analytics value for SMEs, resulting in a comprehensive model that outlines key aspects of value creation. The model covers enabling capabilities, main risks, core profiting business functions, and impact on firm performance. Transactional, transformational, strategic, and informational value creation types are identified. Given resource constraints, SMEs are encouraged to initiate pilot projects in distinct business functions, aided by cost-effective, user-friendly cloud solutions. A proposed scoring framework further aids in assessing and prioritizing business analytics projects, enabling informed decisions and resource allocation for sustainable competitiveness in the data-driven future.

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Assessing Value Creation of Analytics Projects in SMEs

  • Benedict Langer,
  • Felix Pütterich

摘要

In an era where data is a crucial resource, small and medium-sized enterprises (SMEs) must harness analytics to remain competitive. This research paper synthesizes existing studies on analytics value for SMEs, resulting in a comprehensive model that outlines key aspects of value creation. The model covers enabling capabilities, main risks, core profiting business functions, and impact on firm performance. Transactional, transformational, strategic, and informational value creation types are identified. Given resource constraints, SMEs are encouraged to initiate pilot projects in distinct business functions, aided by cost-effective, user-friendly cloud solutions. A proposed scoring framework further aids in assessing and prioritizing business analytics projects, enabling informed decisions and resource allocation for sustainable competitiveness in the data-driven future.