Overcoming the core-technology transformation stalemate

 

Here is an excerpt from an article written by Brant Carson, Alexey Goldov, Laurent Kinet, Warren Oakes, Giulio Romanelli, and Anand Swaminathan for the McKinsey Quarterly, published by McKinsey & Company. To read the complete article, check out others, learn more about the firm, and sign up for email alerts, please click here.

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Successful transformations demand a disciplined approach, a top-team mindset that fuses technology and business goals, and execution tailored to core-technology complexity.
Across almost all sectors, large companies face an unprecedented wave of technology demand requiring significant transformation—often while grappling with rising costs and shrinking margins.Facing strong market pressures that demand compelling action to transform, many executives struggle with where or how to pivot, how to prioritize, and where to invest. This struggle is due to the heavy investments needed to repair aging systems, the need to pay off “technical debt” (the extra investment required today to fix yesterday’s tactical decisions and suboptimal technical solutions), and a growing shortage of talent. The demands from regulators for greater risk controls, especially in service industries such as banking and telecommunications, is also putting immense pressure on technology departments.
At the same time, fast-rising customer expectations require new functionality that must be developed without breaking current functionality or reducing performance. This has become even more relevant in the wake of COVID-19, when remote delivery of products and services has increased dramatically. In the United States, for example, the percentage of online retail sales grew as much in the first ten weeks of the pandemic as in the preceding ten years.  At the core of these very real pressures is a set of common fears and misconceptions about technology transformations, often heightened by biases born of past experience (see sidebar, “Three fears and misconceptions that stymie technology transformations”) that add to the indecision.Yet leaders must overcome these barriers, because the payoffs for successful transformations are substantial. We have seen organizations increase run and change productivity by 20 percent, double the speed of delivery, and decrease risk and resilience issues by a third.
While core-technology transformations are complex, they are also critical to remaining competitive in a rapidly digitizing world.How, then, can companies address these challenges? Based on work with dozens of companies on their technology transformations, we believe three key elements matter most: being intentional about the approach, adopting a top-team-led mindset, and proceeding with rigorous and transparent execution tailored to the realities of modern technology systems.

1. Making a considered decision when choosing a transformation approach

There are three major archetypes for approaching core-technology transformations: “repaint” by making the minimum investment required to maintain existing operations and digital channels; “renovate” through gradual but persistent upgrades of the core and more substantial improvements when necessary; and “rebuild and replace,” by building or buying a completely new IT stack (or large portions of it) and migrating the existing business to it (exhibit). As companies progress on their transformation journey, they may switch from one archetype to another.

Which approach or archetype is right for a company depends on its particular circumstances. Companies under significant financial pressure may need to repaint, with targeted investment to maintain the technology stack and preserve the ability to play in the future. Companies too often default to a repaint approach simply “to do something,” because it is far easier to put off a strategic decision on technology spend for another budget cycle. This approach, however, has the effect of treading water, which leads to falling further behind the competition and ultimately increasing investment costs when tactical improvements must be replaced by more holistic solutions.

At the other end of the spectrum, companies that have significant levels of technology complexity and technology debt and sufficient financial resources or capabilities on hand can choose a greenfield rebuild approach. This allows incumbent companies to free themselves from legacy technology constraints and compete with digital natives that have substantially lower operating costs. This approach is particularly attractive where speed to market is critical for capturing value, or delivering a new offering requires a significant departure from the current operating model. The difficulty with this approach is that it requires considerable capital outlay; a depth of technical knowledge to build the new stack, migrate applications to it, and decommission the old; and a cultural shift in the organization to ensure the new IT capabilities are leveraged in the most effective way. These need to be planned and executed carefully, as, unfortunately, many of these transformations have ended up with high levels of spend and questionable returns.

In our experience, most large companies tend to be best served with a renovation approach. To be successful, leaders need to define a reference end state. They can then outline a detailed plan for achieving it over time that balances available funding, flexibility to adapt to changing circumstances, and front-loading return on investment (ROI). In most cases, renovation also requires changes in team structure, operations, and dynamics—for example, leveraging next-generation infrastructure services, driving agile ways of working at scale, or building engineering excellence.

One global pharmaceutical company used a renovation approach to radically transform its technology. It set a desired end state of migrating 85 percent of applications to the cloud, accelerating time to market by a factor of three, and decommissioning 25 percent of applications. Over the course of its transformation, the company worked systematically across the key pillars of its approach: sharpening the company’s technology vision, increasing the level of business and IT collaboration, launching new capabilities, increasing agility, and turbocharging the technology core. Notably, as part of this journey, the company ring-fenced an engineering team to develop a repeatable method for migrating applications to the cloud (the digital-factory model) that allowed teams to ramp up and streamline the cloud journey at pace. A continuous process of test, learn, and improve helped the company achieve its stated goals within five years.

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Here is a direct link to the complete article.

Brant Carson is a partner in McKinsey’s Sydney office, where Alexey Goldov is an associate partner and Warren Oakes is a consultant; Laurent Kinet is a senior partner in the Auckland office; Giulio Romanelli is a partner in the Stockholm office; and Anand Swaminathan is a senior partner in the Singapore office.

The authors wish to thank Sven Blumberg for his contributions to this article.

 

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