New research reveals digitally mature companies are preparing for the next wave of digital disruption, known as Convergence
The research, which surveyed 749 leaders from companies in the US,
- The first, at a low level of digital maturity, struggled to implement these innovative practices and is still in the process of catching up.
- The second, at higher levels of digital maturity, had already implemented the latest innovative practices and have thrived. This group is prepared for the next wave of digital disruption, a practice known as convergence.
Convergence is the blending of previously separate technologies, processes, and data to create new combinations of products, services, and experiences that reshape industry processes and structures. Most businesses today recognize convergence as a trend that will impact them in some form. This research found that 58 percent of respondents have either given thought to convergence or acknowledge it is one of the most critical parts of their business. A key takeaway from the research reveals that digital maturity is a strong predictor of how much a company believes it will be impacted by convergence.
To determine how digitally mature a company is, respondents were asked to self-select one of the following stages to define their business:
- Stage 0: "Digital transformation is not a priority for us, nor do we expect it to become one in the short term."
- Stage 1: "We've just begun to build a business case for digital transformation."
- Stage 2: "We're starting to understand customer journeys, improving digital skills, mapping processes and seeing early traction."
- Stage 3: "We've begun to digitize our operations at scale, but modernizing platforms and processes is happening on a departmental basis."
- Stage 4: "We have digitized operations and are now focused on integrating them so that data can be used more strategically across the organization."
- Stage 5: "We have laid a strong digital foundation and are now focused on leveraging data and AI to optimize processes; products and services; and customer experiences."
Fifty-nine percent of companies with the highest digital maturity (Stage 5) said convergence was one of the most critical influences on their business. As the levels of maturity decrease, so does recognition of convergence as a disruptive trend. This makes sense, as companies that are less digitally mature are playing catch-up, struggling to implement practices and innovations that are the milestones of digital transformation.
This does not mean, however, that less-mature companies should wait until they reach later stages of digital maturity to think about and prepare for convergence. In fact, to reach Stage 5 and reap the rewards of convergence, the foundation for convergence needs to be built as early as possible.
The first step toward building a digital transformation foundation is understanding all the ways convergence is taking place and identify the categories that will have the most impact on the business.
The research revealed four levels of convergence:
- Process Convergence: Formerly discrete processes and workflows are now being connected across business for greater efficiency and integrated goals.
- Technology Convergence: Technologies such as Cloud, IoT, AI,
Supply Chain Management, Augmented and Virtual Reality are converging to create new use cases and solutions.
- Data/information Convergence: Formerly siloed data/information is now more accessible and being used across business and industry to power a range of new products and services.
- Industry Convergence: Formerly discrete industries are becoming more similar and connected, creating new opportunities for value creation.
By creating convergence levels, we can chart the impact each type of convergence has, and how it varies by industry.
While the benefits of convergence may seem apparent at every stage of digital maturity, many companies face challenges in implementing the steps they need to take in order to fully realize these benefits. Some of the top challenges included:
- Culture - Resistance to change is a problem at many companies, especially large ones with legacy systems and practices.
- Data for Machine Learning - Many innovative processes brought about by convergence are made possible through the power of AI. While AI can be a powerful technology that creates high efficiency, there is a risk of deploying it incorrectly. Feeding AI engines outdated or biased data can create a snowball effect of the machine continuously learning and doing the wrong thing.
- Designing for Convergence – Convergence requires designers and project planners to have far more expansive, visionary and disciplined thinking than they have had in the past. This requires training, familiarity with, and use of tools that help facilitate this kind of thinking.
- Hiring the Right Skills - As with any other innovation, hiring people with the right skills to thrive on convergence is challenging, especially since they are scarce and in high demand at the start of the disruption curve.
"Understanding convergence and making it work for your organization is an under-leveraged competitive advantage," said
"By assessing their digital maturity, and top investment priorities, companies can use this data to benchmark themselves and chart a roadmap for transformation," said
For more information and to download a copy of the report, visit www.autodesk.com/campaigns/discover-convergence.
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