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The new rules of transformations: 4 ways to create more value

New survey reveals that tech-driven enterprise initiatives are starting to deliver. These key tactics can help make the difference.

Insight
2024 KPMG US technology survey report: The digital dividend
US businesses are seeing their tech investments deliver profits and performance. But keeping up with the pace of innovation remains a challenge.

Have digital transformations been getting a bad rap? The long-held business truism that “most transformations fail,” rooted in surveys and research from the last decade, is increasingly out of step with recent real-world results.

As one example, 88 percent of US companies in a new KPMG survey reported at least some level of improvements in both performance and profits from their technology-driven transformation initiatives. That’s almost double the number (45 percent) from the previous year’s results.

But business leaders would be wise to hold the confetti and keep the champagne on ice for now. Yes, more companies are seeing progress, but they also acknowledge that there’s still work to do to deliver transformations that truly stick the landing with sustainable, long-term results, as we detail in our new 2024 US Technology Survey Report.

As our report notes, while companies are starting to see improved outcomes from transformations, they also face a growing urgency to innovate even faster at a time of expanding technological complexity. They see opportunities to create value, yet 8 in 10 companies report they are struggling to keep up with the rapid pace of change.

To sustain progress on digital transformations and meet the urgency to capture value, leading companies are leaning into several emerging best practices—informed by the data in our new report as well as our own learnings from work with clients. These approaches can help organizations reduce the guesswork of big-swing enterprise initiatives, moving them from high-risk value drainers to high-impact value drivers. 

Four steps to optimizing digital transformation efforts

Focus on value from the start

Why it matters: Innovation is essential. But there’s a big difference between proving a concept and creating sustainable value. Effective transformations benefit from a product-first mindset that is guided by cross-functional teams with clear business objectives and well-designed KPIs. “Experimenting” with new technologies, running multiple pilots in multiple silos, or celebrating “quick wins” that can’t actually scale … those are the ghosts of transformations past.

 

72%

of respondents continuously evaluate the business value and outcomes across all their technology investments.

Action items:

  • Establish clear ROI goals and milestones, continuously evaluate them, and be ready to make real-time adjustments based on progress or obstacles in each key area.
  • Ensure the technology strategy is aligned with the overall business strategy, especially around growth and financial targets. Transformations should be business-led and technology-enabled.
  • Clearly define what “value” means for the company. Is it revenue growth? Technology savings? Or are there harder-to-quantify results—for example, streamlining ESG reporting and compliance risks—that deliver value as well?

Lead with data

Why it matters: The ability to harness advanced data and analytics to deliver powerful business insights is a hallmark of effective digital transformations. As our new report reveals, companies are making progress on cleaning up legacy data and integration challenges that have doomed previous transformation initiatives. But, here again, there is work to do. And the stakes are getting higher: Robust data hygiene is critical for unlocking the full potential of game-changing technologies like AI and generative AI (GenAI).

Enhanced data and analytics ranks as the top contributor to improved results from digital transformations.

Action items:

  • Establish a robust, fully integrated data backbone that eliminates legacy issues and enables rapid access to high-quality internal data and external signals.
  • Foster a data-driven culture that focuses on relevant KPIs across the org, using a center of excellence and other training initiatives to empower staff.
  • Don’t forget about governance and security: Robust data frameworks must be monitored, evaluated, and regularly optimized. 

Don’t wait on AI

Why it matters: AI and GenAI technologies are perhaps the biggest drivers of the disruption and rapid pace of change that many companies are struggling with. But they are also delivering real results—today—for many: Three-quarters of the companies in our survey report that they are already driving value from AI implementations. And it’s worth noting that AI’s growing emergence has coincided with the recent progress improvements on digital transformations. 

82%

of companies anticipate that AI’s automation firepower will absorb many time-consuming processes, liberating staff to focus more on insights and value creation.

Action items:

  • Establish an overall framework for secure AI development, deployment, and adoption that helps prioritize high-value efforts that can scale quickly. 
  • Recruit new talent, upskill existing staff, and steadily build an AI-enabled workforce.
  • Identify where AI implementations can deliver the most impact quickly. Operational efficiency, error detection, and product innovation are among the top use cases today.

Get help where you need it

Why it matters: Transformations are notoriously complex endeavors, with multiple moving parts that require specialized expertise and careful choreography. And of course, leadership wants that enterprise dance to move even faster. To meet the need for speed and close gaps in internal capabilities, many companies are leveraging external partners and solutions through the Everything as a Service (XaaS) model, which can rapidly shore up critical areas, accelerate value creation, and reduce legacy tech obstacles.

1/3

of the companies in our survey are seeing benefits from XaaS for cybersecurity—which ranks as the No. 1 barrier to digital transformation success.

Action items:

  • Identify high-value areas for XaaS execution. Cybersecurity, data integration, and analytics rank as the most impactful XaaS services in our survey.
  • Take a close look at current technology investments, legacy expenses, and where XaaS can help reduce costs while improving service delivery.

Mind the books

As a final consideration, many companies may also benefit from a thorough reevaluation of their technology budgets and the underlying financials of their transformation efforts.

As new leading practices like data management, AI, and XaaS turbocharge digital transformations that deliver more value more rapidly, organizations have opportunities to reduce costs in some areas while investing more in others. Retiring legacy systems and their related debt, for, example, can free up funding for more cost-efficient, agile technologies like AI and cloud-based XaaS services.

For much more about the latest in transformations, digital technology initiatives, and the full survey results, download the 2024 US Technology Survey Report.

Insights to help you keep up with the pace of change.

Technology moves fast. Don’t let innovation pass you by. Learn how to accelerate your transformation efforts—starting now.

Insight
Speed to Modern Technology
Our 15,000+ technology professionals make a world of difference with their wide range of specialties, from AI to analytics and 5G to blockchain. But they’re all dedicated to just one thing: helping technology leaders succeed by accelerating their transformation efforts — starting now.

Learn about our technology services

Cloud, AI, cyber, crypto, data and analytics, 5G—KPMG has the services and solutions to address your technology challenges. We help clients leverage technology to enhance customer experience, improve business performance, and drive new revenue streams. Find out how.

Meet our team

Image of Bobby Soni
Bobby Soni
Principal, Advisory and Global Technology Consulting Leader, KPMG US
Image of Matteo Colombo
Matteo Colombo
Principal, KPMG Global Leader for Cloud, Data, AI , KPMG US

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