Data Stacks have traditionally been comprised of all-in-one, monolithic solutions. Powerful, but often rigid, expensive, and slow to adapt. In this session, we’ll explore how a composable architecture flips that model on its head, giving teams the flexibility to integrate best-in-class tools, scale on demand, and move faster. We’ll walk through a practical use case comparing a traditional CDP with a composable approach, highlighting the trade-offs and the tangible benefits in agility, cost, and business impact.
talk-data.com
Speaker
Ed Gibbs
3
talks
Solution Engineer
DinMo
Ed is the Data Solutions Manager here at DinMo, overseeing everything from onboarding, data advisory & strategy, through to customer success across our client base. DinMo empowers data teams to give their marketing counterparts well-governed and secure, self-service access to their cloud data, and enable automated use of first-party data across their marketing platforms. Previously, Ed has spent the last 5 years in data & technology consulting, supporting clients with everything from data governance, analytics, strategy, and engineering. This includes two years supporting with the design and implementation of Sainsburys single customer view, three years driving commercial value using data & tech for fast-growing, Private Equity backed businesses, and one year as an independent consultant.
Bio from: Big Data LDN 2025
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Data and marketing are often treated as separate functions, but the real opportunity lies in bringing them together. In this fireside chat, Ed (Data Solutions Manager at DinMo) interviews Andrew (Head of Marketing at Brand Alley), who brings a rare dual perspective: before leading marketing, he founded and scaled a data tool for dynamic audience segmentation.
They’ll explore why data and marketing are natural teammates and how aligning the two can unlock powerful business outcomes. From enabling real-time audience activation to translating data capabilities into campaigns that drive measurable growth, the discussion will highlight practical ways to bridge the gap between teams.
Attendees will discover how to maximise the ROI of their data warehouse by embedding it into marketing workflows, ensuring data initiatives deliver clear returns through hyper-personalised customer journeys. They will walk away with actionable insights on how to make data indispensable to marketing, prove its commercial value, and create experiences that drive long-term growth.
Data Stacks have traditionally been comprised of all-in-one, monolithic solutions. Powerful, but often rigid, expensive, and slow to adapt. In this session, we’ll explore how a composable architecture flips that model on its head, giving teams the flexibility to integrate best-in-class tools, scale on demand, and move faster. We’ll walk through a practical use case comparing a traditional CDP with a composable approach, highlighting the trade-offs and the tangible benefits in agility, cost, and business impact.