1, May 2025
by: Claire Price
Welcome to the Arreoblue Data Blog, where we explore the evolving role of data, AI, and business transformation. Today, we’re focusing on a key question: how should businesses structure their data strategies to stay competitive? We spoke with Dael Williamson, Field CTO at Databricks, to break it down. With experience across consultancy, enterprise leadership, and advanced data technology, Dael shares insights on where the industry is heading—and how businesses can stay prepared.
Large consultancies have traditionally dominated enterprise data projects, but boutique firms are proving to be valuable players in tackling complex data challenges. Dael explains why.
“Big consultancies offer scale and cost efficiencies over time, but they don’t always provide the same continuity,” he says. “With boutique consultancies, you get a team that understands your business inside out, which makes a big difference.”
Boutique firms also tend to focus deeply on specific areas—whether it’s supply chain analytics or AI-driven customer insights. That level of specialisation can be highly effective for companies looking for precise, results-oriented solutions.
“It’s not about choosing one over the other,” Dael adds. “It’s about using both strategically—leveraging large consultancies for scale and boutiques for targeted expertise.”
One of the most debated topics in enterprise data strategy is team structure. Should data teams be centralised under IT, or should they be embedded across different business units?
“The challenge,” Dael notes, “is that data no longer fits neatly into traditional structures. It’s not just about structured tables and files anymore—it’s a mix of documents, real-time analytics, and unstructured data. Businesses need a flexible approach to managing it.”
A common challenge is the disconnect between those funding data initiatives and those actually benefiting from them.
“The key is to centralise governance but decentralise execution,” Dael explains. “Security, compliance, and infrastructure should be managed centrally, while analytics and AI initiatives should be embedded where they can have the most impact.”
With AI evolving rapidly, staying informed can be overwhelming. As Field CTO at Databricks, Dael is at the forefront of these changes—so how does he stay up to date?
“With 1,500 engineers continuously developing new capabilities, the challenge isn’t just keeping up—it’s identifying what truly matters,” he says.
His approach? A mix of practical learning, prioritisation, and leveraging AI itself.
“I don’t have time to read every new research paper,” he admits. “So I use AI to summarise key insights, listen to industry podcasts, and stay hands-on with technology. Engaging directly with the tools is the best way to understand them.”
Dael also sees AI-driven personalisation as an area with significant potential.
“For years, we’ve talked about AI personalisation, but in reality, it’s been quite limited. We’re now heading toward AI that truly adapts to individual users in a meaningful way.”
So, what’s the key takeaway for businesses refining their data strategy?
“We’re in a period of restructuring,” Dael says. “Data is no longer just a back-office function—it’s central to decision-making. Companies that recognise this and adapt will stay ahead.”
At Arreoblue, we help businesses navigate these shifts with expert guidance and tailored solutions. Whether you’re refining your data team structure, exploring AI-driven transformation, or looking for the right consultancy approach, we’re here to help.
Any views expressed in this article by Dael Williamson are his and his alone. For more information on Databricks, please visit – www.databricks.com.
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