RESEARCH REPORT
Building a reinvention-ready digital core
Chapter 2: How to mobilize technology for continuous reinvention
5-MINUTE READ
November 6, 2024
RESEARCH REPORT
Chapter 2: How to mobilize technology for continuous reinvention
5-MINUTE READ
November 6, 2024
The power of reinvention-readiness is undeniable, driven by a strong digital core.
In Chapter One of our report, we unveiled the three tenets that companies are following to achieve this coveted state of reinvention readiness: Build an industry-leading digital core; Boost investments in innovation; Balance technical debt. Companies who did all three saw massive performance boosts:
60%
higher revenue growth rate
40%
increase in profitability
Now, in Chapter Two, we dive into how to build or evolve to a digital core that is flexible, resilient, and intelligent—all while being cost- and resource-efficient.
Gone are the days of rigid systems. To stay ahead in today’s fast-moving and ever-evolving business landscape, a digital core must be always on, always learning, and always adapting.
The rise of AI and generative AI is reshaping everything, including how we build and activate a digital core.
Your digital core needs to be in sync with the speed of change, constantly evolving and smart enough to meet your unique objectives—without the headache of overly customized, unwieldy systems.
It’s like a Formula 1 race car—requiring split-second adjustments and high-tech engineering. In this world, only the most adaptable and intelligent systems thrive. Winning requires advanced engineering to reimagine business processes with technology.
Our analysis has uncovered three key engineering principles that streamline and supercharge the evolution of a digital core. We call them the ACT principles, and leading companies adopt them 2x more than others.
Evolve business and technology architectures to a modern cognitive architecture that is always on, always learning and dynamically adapts to change—using AI as the central orchestrator of processes.
Leading companies apply cognitive elements like event data, telemetry and predictive analytics to make automation smarter twice as often as their peers.