2016年-普华永道全球_Industry_40_Building_the_digital_enterprise_12页_735kb

Industry 4.0: Building the Digital Enterprise Summary

Core Content

Industry 4.0 represents a significant transformation in the industrial manufacturing sector, driven by digitisation, integration of value chains, and the development of new digital business models. PwC's 2016 Global Industry 4.0 Survey, which included over 2,000 participants from nine major industrial sectors across 26 countries, highlights the strategic and operational importance of this shift for manufacturing companies.

Main Findings

• Digitisation Investment: Industrial manufacturing companies plan to invest 5% of annual revenue in digital operations solutions over the next five years.
• Digitisation Progress: Over a third of companies have already reached an advanced level of digitisation and integration, with around three-quarters expecting to do so within five years.
• Cost and Revenue Gains: Companies anticipate annual cost reductions of 3.6% and revenue growth of 2.9% from Industry 4.0 initiatives.
• Product and Service Customisation: There is a strong focus on customising products and services to meet customer needs using data analytics.
• Data Analytics Importance: Over 88% of industrial manufacturing companies view data analytics as important or very important for their future, significantly higher than the average across other sectors.

Key Challenges

• Digital Culture and Training: 52% of industrial manufacturing companies identify the lack of a digital culture and training as their top challenge.
• Unclear Economic Benefits: Many companies are uncertain about the economic returns of digital investments.
• Leadership and Vision: Clear leadership and vision for digital operations are critical for success.
• Data Analytics Maturity: Only 20% of industrial manufacturing companies have advanced data analytics capabilities.
• Skills Gap: 51% of companies cite a lack of data analytics skills as a challenge.
• Organisational Frameworks: Many companies lack structured approaches to data analytics organisation and governance.

Strategic Recommendations

1. Map Out Your Industry 4.0 Strategy

   • Evaluate current digital maturity.
   • Set clear five-year targets.
   • Align initiatives with overall business strategy.
   • Ensure leadership support.

2. Create Initial Pilot Projects

   • Establish proof of concept.
   • Focus on end-to-end Industry 4.0 concepts.
   • Use cross-functional and agile approaches.
   • Collaborate with start-ups, universities, and industry organisations.

3. Define the Capabilities You Need

   • Map out required capabilities based on pilot results.
   • Include agile IT infrastructure and other enablers.
   • Develop strategies for attracting talent and improving processes.

4. Become a Data Virtuoso

   • Organise data analytics with cross-functional expert teams.
   • Embed capabilities into functional organisation.
   • Link data directly to decision-making and intelligent systems design.
   • Use data to improve products and develop new services.

5. Build a Digital Enterprise

   • Implement company-wide transformation.
   • Foster a digital culture among all employees.
   • Continuously reinvent capabilities to stay ahead.
   • Ensure leadership commitment and vision from the C-suite.

6. Actively Plan Your Digital Ecosystem

   • Develop complete product and service solutions.
   • Leverage partnerships or platforms if internal development is not feasible.
   • Share knowledge and consider acquisitions to bridge gaps.
   • Integrate with future manufacturing ecosystems to drive performance.

Conclusion

Industry 4.0 is not just a trend but a strategic imperative for industrial manufacturing companies. It offers the potential for significant cost savings and revenue growth, but success depends on overcoming internal challenges such as culture, skills, and leadership. Companies that proactively invest, develop data analytics capabilities, and foster a digital culture are better positioned to lead in the evolving digital landscape.