NeoDyne defines Digital Transformation as:
The process of evolving a manufacturing enterprise from
Industry 3.0 Company
A traditional manufacturing business with high levels of automation
Industry 4.0 Company
To one that is digitally integrated across all layers of the business & makes data one of its primary commodities
Digital Transformation Front-End Study
- Evaluate Current Operations: Analyse the customer’s business environment, including physical workflows, supporting processes, and data handling practices.
- Understand Data & Reporting: Examine how data is captured and reported to stakeholders, identifying bottlenecks and inefficiencies.
- Identify Challenges: Highlight current operational challenges and areas lacking digital enablement.
- Explore Digital Opportunities: Investigate how digital transformation technologies and strategies can address challenges and improve data quality and accessibility.
Problem Definition
- Establish a Problem Statement: Clearly define a key business issue to address, ensuring it is aligned with strategic goals and expected benefits.
- Envision Desired Outcome: Agree on what success looks like—the intended end-state of the digital solution.
Proof of Value (PoV) Project
- Pilot the Solution: Implement a small-scale PoV project targeting the initial problem, aligned with the desired outcome.
- Validate in Real Time: Assess the solution’s effectiveness during live operation to test the business case.
Decision Pathways
-
Refine or Expand:
Iterate: Improve the solution based on real-world learnings.
Scale: Extend the solution to other parts of the business for broader impact.
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Driving technology for leading brands
Integration & Digital Manufacturing Customers
We supply the Life Science, Food & Beverage, Data Centre and Energy industries.
Our key markets are for robust applications requiring innovation, reliability, longevity and specialised know-how.
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