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Chris Tabb

Speaker

Chris Tabb

3

talks

Chris Tabb is the Co-Founder and Chief Commercial Officer at LEIT DATA, one of EMEA’s fastest-growing data consultancies. With a career spanning over 30 years in business intelligence, analytics, and data architecture, Chris has helped organisations across industries accelerate their data maturity and unlock business value from data. Chris is renowned for his expertise in data strategy, data management, security, engineering, analytics, and AI/ML, and is a familiar face at Big Data London, where he champions the practical business impact of modern data platforms. His hands-on experience ranges from technical architecture to C-level advisory, making him a trusted voice on the “mean data streets” of the industry.

Bio from: Big Data LDN 2025

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Talks & appearances

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Face To Face
with Taylor McGrath (Boomi) , Chris Tabb (LEIT DATA) , Joe Reis (DeepLearning.AI)

6:00 pm - Intro & Drinks hosted by Chris Tabb

6:10 pm - Session One - High Performance Data Products

David Richardson, Jon Cooke, Taylor McGrath, Mark van der Heijden

6:30pm - Session Two - High Performance Data Models

Joe Reis 🤓, Keith Belanger, Nick White, Eevamaija Virtanen

6:50pm - Pizza and Drinks 🍕🥤🍷🍻

7:00pm - Session Three - High Performance AI

Alex Chung, Jai Parmar, Sonny Rivera, Addie McNamara

7:20pm - Town Hall Debate

Sponsors: Coalesce, LEIT DATA, Rivery, SqlDBM, ThoughtSpot 

Meet some of the most prominent UK data founders and delve into what it takes to start a high-growth business in the data space. With the panel collective expertise covering SaaS, M&A, professional services, advisory, product companies and everything in between, this is an event not to miss. This panel is a true celebration of the UK entrepreneurial talent - you will learn about the founders’ personal journeys, their experience of significantly scaling and growing their businesses and the role that their tenacity, perseverance and determination to build something new and different have played in it. 

The panel will also be joined by a special panel guest Richard Shaw, who will share the investors outlook and the insight about the eco-system out there available to support new generation of data founders on their journey.

Featured panelists:

• Chris Tabb, co-founder and CCO, LEIT Data

• Anna Sutton, co-founder and CEO, Data Refinery, exited co-founder of Data Shed (acquired by Hippo Digital in 2023)

• Chelsea Wilkinson, co-founder and CEO, Data Diligence

• Rowena Humby, co-founder and CEO, Starcount

• Richard Shaw, Partner, Growth Capital Partners

• Guy Fighel, Venture Partner and Head of Data Program - Hetz Ventures

The panel will be hosted by Svetlana Tarnagurskaja, co-founder and CEO of The Dot Collective.

This presentation will be delivered alongside a customer we have worked with for over 2 years. Austin Price CDO at PPL and I will present. This presentation explores how building a solid data platform foundation acts as a force multiplier, significantly accelerating your ability to deliver results. We'll delve into the importance of an architect-led data platform program delivered in an agile methodology based on a Business-aligned architecture runway. The Force Multiplier Effect Discover how a well-designed data platform can amplify your team's efficiency and reduce delivery friction. Architect-led Program We'll discuss the crucial role of an architect in providing the architecture runway for the data platform strategy and ensuring alignment with business needs. Agile Delivery Embrace the power of agile methodologies to build your data platform iteratively but aligned to the roadmap, focusing on delivering high-value features quickly and at scale Product & Feature Approach Learn how to break down your data platform development into manageable products and features, enabling faster iteration and adaptation. By using this approach you can build a data platform that empowers your organization to: Deliver insights and applications faster Reduce development time and costs Increase agility and adaptability How to create the force multiplier effect.