Transformation 2022: Expanding Your Digital Transformation

Earlier this year, NTT DATA and ServiceNow launched “Transformation 2022: Expanding your digital transformation roadmap in a decade of disruption,” which explores experiences that are still the focal point of transformation, key criteria to achieve successful change, and what’s ahead for transformation.

Now that we are more than halfway through the year, how is your organization navigating some of the predictions and insights our experts shared?

The future of digital transformation

While the future of digital transformation is continually evolving, we’ll be watching three stand-out themes in 2022 and beyond:

• Breaking away from horizontal and industry silos
• Embracing new technologies
• Creating greater meaning from data

Breaking away from horizontal and industry silos

In the past, many organizations felt it was only possible to improve one function at a time. But now, Rick Wright says that businesses can look at holistic business processes and build a connected enterprise through end-to-end transformation.

With that foundation, ServiceNow AVP Binoy Gosalia says that the potential for solving industry-specific challenges will only accelerate. “Digital transformation can no longer be contained to a silo. We’re seeing the tools of transformation come full force into the biggest challenges facing every industry. The stakes are rising — but so is the potential for impact.”

Rick Wright agrees. “We now have the ability to build end-to-end industry blueprints to solve problems that haven’t been solved in 20 or 30 years—whether they were too complex, included too many systems, or entailed too many moving pieces.”

Embracing new technologies

As organizations continue their transformation journeys, Rick Wright suggests they will continue to work to elevate their approach.

“Technologies like machine learning and AI will become a bigger part of those conversations. Predictive analytics will become a core pillar for how they think about transformation. And, of course, they will continue to digitize more workloads,” says Wright.

NTT DATA visualizes this as a technology adoption curve, moving from foundational technologies, like cybersecurity, CRP, ERP and cloud, all the way into emerging and future technologies — ranging from blockchain and 5G. Organizations will chart their own journey across this technology adoption curve, while more technologies continue to emerge.

According to Binoy Gosalia, to make this sort of data-driven decision-making possible, leaders must find ways to unify their data and automate responses to it—using digital workflows to react and respond to changes in data. Data governance and reliability will be paramount. “In the future, it won’t just be about creating a ‘single source of truth’ to house data, but a ‘single system of action’ to automate workflows in response to data,” says Gosalia.

Technologies like AI, machine learning, and predictive intelligence have surpassed buzzword status and will become integral elements of future digital transformations. Across all of them, the trend is to tap into the power of an organization’s data to focus and prioritize efforts—then measure their success and adjust accordingly.

As the importance of data throughout the transformation lifecycle grows, it will be important for data analysts to have a seat at the table throughout the entire transformation initiative.

Creating meaning from data to focus transformation efforts

Technology advancements make digital transformation possible, but it’s data that makes them meaningful. And yet, data is still not driving decision-making in many areas. According to research from NTT DATA, data leads decision-making in only:

• 48% of supply chain sourcing
• 45% of customer/patient/constituent interaction methods
• 43% of process design
• 32% of product and service deployment
• 19% of partnerships
• 11% of hiring

Where does your company stand? Get insights on building a roadmap tp ensure the inevitable transformations of tomorrow. Dive into the entire eBook here.