Leveraging Automation and Data Analytics for Enhanced Financial Performance

Chara Pappa (), Odysseas Pavlatos, Nicos Sykianakis and Androniki Kavoura
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Chara Pappa: University of West Attica
Odysseas Pavlatos: University of Macedonia
Nicos Sykianakis: University of West Attica
Androniki Kavoura: University of West Attica

A chapter in Strategic Innovative Marketing and Tourism, 2026, pp 39-45 from Springer

Abstract: Abstract Automation, entwined with advanced data analytics, is recasting the finance function from ledger-centric record-keeping into a reflexive, prognostic command centre. Synthesising 125 empirical and conceptual studies, this chapter interrogates the technological-organisational dialectic that determines whether algorithmic routines translate into tangible financial gains. Evidence indicates that robotic process automation compresses cycle times and purges clerical error, whilst predictive analytics renders cash-flow aberrations visible at incipient stages, collectively fortifying accuracy, transparency and strategic agility. Yet these dividends crystallise only when superintended by visionary leadership, meticulous data governance and a culture that valorises interpretative acumen over deterministic fetishism. Legacy architectures, skill asymmetries and siloed mindsets otherwise transmute digital initiatives into brittle, self-defeating artefacts. By mapping the interplay between capability, culture and control, the study offers a hermeneutic lens through which executives, transformation architects and policymakers may orchestrate sustainable, analytics-infused finance ecosystems. Scholars may likewise exploit its agenda to illuminate future interdisciplinary inquiries.

Keywords: Automation; Digitisation; Financial performance (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-032-12968-0_5

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DOI: 10.1007/978-3-032-12968-0_5

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