Assessing Value Creation of Analytics Projects in SMEs

Benedict Langer () and Felix Pütterich ()
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Benedict Langer: TUM School of Management, Technical University of Munich
Felix Pütterich: TUM School of Management, Technical University of Munich

A chapter in Artificial Intelligence, Data, and Decision-Making, 2026, pp 311-328 from Springer

Abstract: Abstract 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.

Keywords: Data; Analytics; Value; Literature review; Assessment (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-032-08480-4_20

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DOI: 10.1007/978-3-032-08480-4_20

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