Gartner's recent report provides insights for CIOs looking to navigate digital transformation
From rapid emerging technology advancements and market opportunities, to the uncertainty of international trade agreements, heavy manufacturing CIOs find themselves at a crossroads.
Specifically, there is a current need for market agility and innovation that runs counter to traditional heavy manufacturing business practices. By design, operations have been methodically planned and incrementally adapted over a lifecycle spanning years. Despite this, a need to embrace Industry 4.0, increase industrial connectivity, and provide next-gen BI/analytics creates opposing pressures against the status quo. This conflict is the central challenge facing heavy manufacturing CIOs: how can we ensure stability and continuity, while undertaking innovations required for continued growth? Or to ask the question more pointedly, how can we make innovation decisions that are correct and timely?
While this challenge defies easy answers, Gartner has provided some direction in the form of a recent survey-driven report. 2018 CIO Agenda: Heavy Manufacturing Industry Insights reflects research conducted with over 200 CIOs from leading heavy manufacturers. There are key trends revealed by the participants, including:
In addition to how CIOs see their own challenges, Gartner utilised this data to generate a series of strategic recommendations. From vetting the right projects to maximise success, to methods for creating a culture that embraces digital innovation, Gartner's 2018 CIO Agenda: Heavy Manufacturing Industry Insights provides a roadmap that will help manufacturing leaders navigate the challenges and accelerate change.
Complete the form below to read "How Manufacturers Are Achieving Success with the IIoT" to better recognise the challenges facing the manufacturing industry—and learn how other manufacurers are succesfuly implementing Industrial IoT.
This technology is available now, and manufacturers are already deploying it to improve outcomes. Successful implementations help organizations be more agile and make better, data-driven decisions.