Emerging technologies and practices will disrupt the status quo for industrial companies. Whether it is called Industrial Internet of Things, Smart Manufacturing, or something else, there is clearly a significant shift underway. Information-driven, highly efficient competitors with innovative business models will enjoy a competitive advantage in the marketplace.
ARC’s Digital Transformation Strategies workshops help companies position themselves to take advantage of emerging opportunities and counter competitive threats.
Your Digital Transformation Roadmap
Through a series of interactive workshops, ARC analysts and your team develop a comprehensive IT/OT technology strategy and roadmap for production operations. In the process, business leaders and managers start by developing a common understanding of emerging digital technologies and possibilities. They then build a shared commitment to a roadmap for deploying and using the technologies, and the changes to people, processes, systems, and information that must be taken into account.
With this roadmap, industrial companies can be confident that they can drive digital transformation strategy that will carry them into the future.
Digital Transformation Benefits for Industry
- Reduce Operating Costs
- Reduce Unscheduled Downtime
- Improve Asset Performance
- Optimize Supply Chain
- Increase Capacity
- Employee Engagement
Typical Challenges to Overcome
The industry is at an inflection point, starting to move beyond the old way of doing things.
- It’s easy to underestimate the disruptive potential of the exponential pace of technology change in artificial intelligence, machine learning, analytics and big data, cloud computing etc.
- Your organization has baked-in but unrecognized biases that reinforce traditional approaches and the status quo
- Business leaders hold multiple and inconsistent views of the needed changes
- Technology itself is not a good enough reason to change – but innovation is definitely needed
Step into the Future
Today, there are a number of disruptive technologies at work. What’s important and what’s not? What’s real and what’s too futuristic? What steps should be taken now, to be prepared for the future? ARC’s Digital Transformation Strategies workshops are a structured way to:
- Understand the significance of emerging IT/OT/IoT technologies and trends and the potential opportunities and threats they pose
- Compare your current production operations to modern/future practices and to other companies
- Determine a specific and appropriate next-generation technologies strategy for production operations that supports your business goals
- Plan to manage organizational change issues
- Identify a logical series of steps to take in order to move from your 'as-is' to your 'to-be' state
- Identify and select appropriate technology/solution partners for the digital transformation journey
ARC Digital Transformation Vision & Maturity Model
ARC methodology and scope is underpinned by ARC’s Digital Transformation vision for industry. This transformation is defined as “the transformation of industrial products, operations, value chains, and aftermarket services that are enabled through the augmentation of people and knowledge, through the expanded use of sensors, data and analytics,” automated and crowdsourced. Recognizing the important connection between ARC’s Digital Transformation Vision and people, culture, technology process and business process, ARC established a Digital Transformation Maturity Model.
Many newer technologies such as artificial intelligence (AI), advanced analytics and machine learning or semantic search require changing the way technology leaders think about people and technology architecture and process. In fact, ARC research highlights that many plant-centric systems today will not support new technologies. These require a new level of agility in industry and a convergence of OT to IT platforms used today. Historically, plant level systems have been procured and supported by plant or engineering staff who are familiar with the application of such technologies. New systems require internal IT staff or Cloud service providers to manage and host platform infrastructure to support systems and applications like AI or semantic search analytics. Operational technology or engineering needs will become more involved in defining the operational and supply chain outcomes.