Skip to main content
Developing a Digital Strategy
13/10/2026

Developing a Digital Strategy

Creating the foundation for connected, future-ready operations

Nick Kesterton

SMART Manufacturing SME

Nick Kesterton specialises in digital manufacturing, MES, IoT and operational improvement, helping life sciences clients achieve smarter, more connected and data-driven manufacturing operations through digital technologies.

Digital transformation is no longer simply a technology initiative.


For Life Sciences manufacturers, it is a business priority that can improve agility, productivity and operational resilience. Yet technology investment alone does not deliver transformation.


Without a clear strategy, organisations risk disconnected systems, fragmented data and added compliance complexity. 

“A strong digital strategy brings business priorities, operations, technology, data and governance into one coherent plan.” 

Nick Kesterton


Step 1:  Start with business outcomes

An effective strategy begins with the improvement the organisation needs to achieve. This may be better quality performance, faster batch release or greater operational efficiency. 

Defining measurable outcomes keeps investment focused on value rather than individual technologies and provides a stronger basis for prioritising initiatives.


Step 2:  Understand the current state


Before deciding where to invest, manufacturers need an evidence-based view of their digital maturity. 

A structured readiness assessment should consider departments, disciplines, ways of working, systems, automation, data flows and organisational capability. Industry frameworks can provide useful benchmarks, identify gaps and establish a realistic starting point.


Step 3: Build a connected data foundation


The strategy should define how operational information will be generated, governed, integrated and accessed. Connecting operational and business systems can improve visibility and create the foundation for advanced analytics, AI and digital twins. 

However, progress depends on data quality, accessibility, context and governance. Advanced technologies can only deliver reliable value when the underlying data is trusted.


Step 4:  Align people, processes and technology




Successful transformation also requires the right operating model, capabilities and accountabilities. Early user engagement, effective change management and clear ownership help teams adopt new ways of working and realise long-term value. 

This engagement should begin during the initial assessment, preventing transformation from becoming a series of isolated technical projects.


Step 5:  Create a practical roadmap

The strategy should conclude with a prioritised roadmap connecting current operational challenges to the future vision. It should identify practical use cases, dependencies and investment priorities. 

The roadmap needs to provide a structured route towards connected operations, predictive maintenance, digital twins, advanced analytics and AI-enabled decisions.


Nick Kesterton
Nick Kesterton background

"Organizations often overestimate how connected their operations are. Individual systems may perform well, while critical information remains isolated within functions, limiting facility-wide visibility and decision-making."

Nick Kesterton

SMART Manufacturing SME

From strategy to delivery

A clear SMART Manufacturing strategy enables organisations to move beyond isolated initiatives towards connected, scalable transformation. 

Once the strategy is agreed, attention turns to coordinated execution. 

Our next article explores how to translate that ambition into a practical roadmap for a connected facility.