Category: Enterprise Strategy

For maximum generative AI impact, centralize foundations (infrastructure, data governance) but decentralize innovation across business domains. This hybrid model balances robust AI governance with agile delivery, enabling rapid prototyping aligned with strategic goals.

Leverage AWS to accelerate post-merger IT integration and cost synergies through data center/storage consolidation, database modernization, volume discounts, and simplified procurement.

Unlocking innovation demands aligning talent strategy with organizational aspirations; an oil company’s overlooked compensation model discouraged risk-taking, undermining its transformation goals until leadership revised employee stock rewards.

Generative AI demands a pragmatic strategy to identify value, embrace agility, scale intelligently, experiment rapidly, and prioritize responsible deployment.

One year ago we published our first research report on the role of Chief Data Officers (CDOs). The renowned Tom Davenport, in partnership with MIT Chief Data Officer and Information Quality Symposium (CDOIQ), was commissioned to conduct a global study of CDOs across industries, tenures, and stages of the data journey. At the time I […]

According to the worldwide bestseller Thinking, Fast and Slow by Nobel Prize winner Daniel Kahneman, people make decisions either intuitively or logically. Intuition leads to fast decisions; rational thinking leads to slow decisions. In organizations, it’s the other way around. Intuition leads to long decision-making processes; data- and fact-driven decisions lead to shorter processes. In […]

Many companies have found that a cloud center of excellence (CCOE) can accelerate their migrations to the cloud and broader digital transformations. These CCOEs take many forms, which is appropriate because each company has unique challenges to overcome. Nevertheless there are certain patterns and antipatterns for using a CCOE. In this blog post, I’ll try […]

There’s something problematic about planning for resilience. On the one hand, we know it’s necessary. If the COVID pandemic taught us nothing else, we learned that unexpected major disruptions can and will occur. And those disruptions will involve not just technology but, in some cases, business processes, personnel, communication, and even the fundamental market characteristics […]

Assume with me that the digital world is a world of fast change. Organizations need to excel at responding quickly to those changes—that’s what we call agility or nimbleness. When it comes to technology, we have well-understood ways of increasing agility and making technology delivery processes lean. Organizations worldwide and in all industries are moving […]

In the digital world, formerly discrete activities have become continuous. In the old world of IT, software deliveries were considered discrete events. We created projects to deliver software capabilities, set requirements for them, deployed code, and then moved on to the next project. At least that was the theory. We knew those IT systems would […]