The integration of IT and OT technologies, along
with the adoption of Industry 4.0 principles, further
supports the dynamic realignment of business
processes. Data-driven mechanisms, such as KPI
monitoring and intelligent control towers, enable real-
time visibility and continuous optimisation of
workflows. This ensures that new business processes
are not only efficient but also adaptable to changing
operational demands.
Moreover, the restructured processes integrate
product design, supply chain management, and
manufacturing operations into a unified value chain.
Systems such as BOM and MES establish seamless
connections across planning, execution, and feedback
loops, enabling the realisation of an end-to-end digital
ecosystem. This holistic approach to business process
design ensures that operational efficiency is
maximised while fostering a culture of continuous
improvement and responsiveness to external and
internal challenges.
4.3 Step 3 - Driving Cultural and
Managerial Shifts Through Data
Insights drawn from an interview with the
organisation's Chief Information Officer (CIO)
emphasise that the essence of DT lies in shifting from
experience-based to data-driven decision-making
across all organisational levels. The CIO highlighted
that digitalisation is not merely about adopting
advanced systems or platforms but fundamentally
about transforming the enterprise's decision-making
processes. This shift enables organisations to make
more objective and precise decisions, enhancing their
ability to navigate complex market environments.
The CIO provided a practical example, explaining
how, in the past, sales personnel relied on subjective
experience to evaluate customer credit, predict
payment capabilities, and assess sales costs and
returns. While such methods could be effective in
specific scenarios, they often lacked scientific rigour
and carried inherent limitations due to the variability
of individual experience. Through digitalisation, the
organisation systematically collects and analyses data
such as customer credit reports and annual
statements, building accurate, data-based customer
models. These models provide objective insights,
allowing the organisation to manage risks more
effectively and make more reliable business
decisions.
The interview further highlighted how DT
impacts employees at different levels of the
organisation. For senior management, the value lies
in accessing comprehensive, data-driven insights that
support strategic decision-making. Middle-level
managers benefit from improved visibility and real-
time monitoring of operational performance, enabling
them to adjust strategies effectively. Grassroots
employees experience increased efficiency through
automation and reduced manual workload, allowing
them to focus on critical tasks and improve
productivity.
The CIO also acknowledged the challenges of
embedding digitalisation into the organisational
culture. Resistance to change and the reliance on
traditional decision-making methods can impede the
adoption of a data-driven paradigm. To address this,
the organisation prioritises training programs, cross-
departmental collaboration, and the establishment of
unified data standards. These initiatives aim to build
trust in digital tools and foster a culture of innovation
that aligns with the organisation's strategic focus.
This analysis demonstrates how the organisation
leverages digitalisation not only as a technological
advancement but also as a cultural and managerial
shift. By effectively communicating the value of DT
and aligning it with both strategic objectives and
employee engagement, the organisation lays a strong
foundation for sustained innovation and long-term
competitiveness.
4.4 Step 4 & 5 - Achieving Alignment
Through Iterative Adjustments
In the organisation’s DT journey, the introduction of
new technologies (Technical IS) necessitated
iterative adjustments to align existing business
processes ("as-is") with the envisioned target
processes ("to-be"). This process was characterised
by resolving conflicts through optimisation and
compromise, leading to the development of
functional "workable processes" that balanced
technical capabilities with operational realities.
One significant challenge the organisation faced
involved the integration of its production planning
and execution systems. Gaps between the enterprise
resource planning (ERP) system and the
manufacturing execution system (MES) created
inefficiencies, particularly in synchronising
production schedules with real-time operational data.
For example, discrepancies in data flow between
these systems prevented the seamless adaptation of
production schedules to actual shop floor conditions.
To address this, the organisation restructured its
workflows, prioritising the synchronisation of ERP-
generated plans with feedback from MES. This
adjustment ensured that existing processes adapted to
the new digital framework, enabling smoother