From digitalization to transformation

Tackling digitalization is challenging

Market pressures and the widespread acceptance of rapidly maturing technology are driving digitalization in industries of every kind.

Digital solutions can do more than shape innovation and take your business to new heights. They can create a step change in value, ushering in new business models and maximizing opportunities.

But it can be easy to deploy point solutions without fully understanding how your business—and the people, processes, and technology that support it—will need to evolve. Digitalization can be tough to tackle, its benefits difficult to prioritize and quantify.

There are very real issues regarding adoption and workplace culture, and valid concerns about a workforce’s ability to adapt to change.

Projects, operations, and other areas of business typically work in silos. Projects generate tons of paper deliverables, making it very difficult for plant operators to find information.

Companies invest heavily in plant floor and enterprise systems. But if the systems are not interoperable, it can be cumbersome and time-consuming to produce the timely, meaningful information needed for decision-making.

The sheer volume of data continues to grow exponentially. But typically, only a fraction of it is used for decision-making, and that is usually done in a reactive, rather than a proactive, mode. Ultimately, the goal must be knowing how to leverage and derive value from information so you can make better and more timely decisions. But the journey to get there can be challenging.

Where do you start? And once you do, how do you maintain momentum? How do you address the scarcity of new skills that are needed? Can you get out in front to meet the challenges that digitalization presents for your organization and remain open to new opportunities? How do you create new business models that will transform your organization to unlock long-term, sustainable value for all the stakeholders in your value chain?

Easing your digitalization journey

Leverage the digital twin

Trustworthy information in the right format, at the right time, to the right people. Digital twins are virtual representations of your assets, process, systems . They are used to model, analyze, and simulate process operations to identify and correct sources of variability. With advanced data analytics and machine learning, process variability then becomes easy to identify, so you can find new approaches to problem solving. The digital twin is key to unlocking process improvements that optimize operations and maintenance activities.

Integrated operations & remotization

Improve team collaboration for better decision-making and solve your talent-shortage challenge, too. In this new, fully connected ecosystem, you can maximize the flow of material and services across your assets over time. Our digital platform provides the common heartbeat that's needed, across your operation. We can contextualize data from various systems and link it with your and Hatch's subject matter expertise. You'll get facilitated analysis and decision support for continuous improvement and capital project planning.

Analytics and Decision Support

Advances in data science, machine learning, and artificial intelligence are transforming industries, making them more algorithm intensive. The paradigm is shifting from one of detection and control to one of prediction and optimization. With our smart digital platform, we can help you collect, aggregate, cleanse and process large amounts of complex, structured, and unstructured data. We can model, simulate, and optimize your operations to improve predictability and drive new levels of productivity. You’ll be amazed what’s possible when uncertainty, risk, and value destroyers are controlled.

Autonomous execution

Now, you can reduce manual interactions, repetitive, or unsafe tasks. Execute work more consistently with automated inspections, autonomous fleets, and methods that reduce process variation. Our award-winning solutions are helping to transform industries using autonomous fleet management, automated dredging systems, drones, and systems that monitor product transportation, route control, and stockyard automation, just to name a few. With improved sensor technologies, machine learning, and advanced process control, it is easier than ever to implement automation that will improve safety and drive efficiency across the value chain.