TITLE:
Empirical Analysis of the Processes Driving Data Analytics and Their Outcomes
AUTHORS:
Daisuke Kanama
KEYWORDS:
Data Analytics, Organizational Process, Strategy, Data Analytics Competency, Firm Performance
JOURNAL NAME:
Open Journal of Business and Management,
Vol.11 No.3,
May
19,
2023
ABSTRACT: How do data analytics increase firm performances?
What organizational processes of data analytics matter for outcomes? This study
empirically examines these questions by
using RIETI Data Analytics Survey regarding data utilization, and finds
following three imprecations. First, strategies for data analytics promote data
analytics competencies of organization and human resources, and these
competencies promote quality of datasets, resulting in increase of firm
performances. Second, non-listed firms and non-manufacturing firms are
likely to achieve outcomes of data analytics compared to listed firms and
manufacturers. Third, strategies for data analytics tend to enhance
productivities for existing products and customer relations, but not for new
product/service developments.