Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

DATA-ENABLED FINANCIAL LEADERSHIP: INTEGRATING ANALYTICS, ERP, AND MANAGERIAL JUDGMENT IN MODERN FINANCE FUNCTIONS

Authors: SERDAR PINAR;

DATA-ENABLED FINANCIAL LEADERSHIP: INTEGRATING ANALYTICS, ERP, AND MANAGERIAL JUDGMENT IN MODERN FINANCE FUNCTIONS

Abstract

Abstract The finance function has undergone a profound transformation as organizations increasingly rely on advanced analytics, integrated enterprise resource planning (ERP) systems, and real-time data to support decision-making. While these technologies have significantly enhanced the availability, speed, and precision of financial information, they have also reshaped the role of financial leadership. Modern finance leaders are no longer evaluated solely on reporting accuracy or control effectiveness, but on their ability to translate complex data into strategic insight through informed managerial judgment. This paper argues that data-enabled financial leadership emerges not from technology alone, but from the effective integration of analytics, ERP infrastructures, and human judgment within finance functions. Drawing on management and finance perspectives, the study examines how digital finance environments alter decision contexts and why increased analytical capability does not automatically lead to better decisions. Instead, the quality of financial leadership depends on the ability to interpret data within strategic, organizational, and risk-related contexts. The paper explores the complementary roles of analytics and ERP systems as enablers of financial intelligence, emphasizing their contribution to consistency, transparency, and scalability. At the same time, it highlights the enduring importance of managerial judgment in evaluating assumptions, resolving ambiguity, and balancing quantitative outputs with strategic intent. Without this interpretive layer, data-driven finance risks devolving into mechanistic decision-making disconnected from organizational realities. Building on this analysis, the study proposes an original conceptual framework for data-enabled financial leadership. The framework positions analytics, ERP systems, and managerial judgment as interdependent components of a unified decision architecture. By integrating technological capability with professional judgment, the framework advances a model of financial leadership that enhances decision quality, strengthens governance, and supports sustainable value creation in modern organizations. The paper contributes to the literature on finance leadership and digital transformation while offering practical insights for finance executives navigating increasingly data-intensive decision environments.

Keywords

Financial Leadership, Data Analytics in Finance, ERP Systems, Managerial Judgment, Digital Finance Transformation, Strategic Decision-Making, Financial Governance.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!