Fora, Top Floor, 180 Borough High Street, London, SE1 1LB
Overview
Time: 6:00pm Thursday 20th March
Location: Fora, Top Floor, 180 Borough High Street, London, SE1 1LB
Overview: Despite significant investments in digital transformation, data adoption, and AI, many companies still face challenges in fully unlocking the business value of their data. Bridging the gap between data teams and operational teams remains a work in progress.
A 2024 Fortune 100 survey by New Vantage Partners highlights key areas for growth. While 23.9% of executives consider their company truly data-driven, compared to 31% in 2019, this reflects an opportunity to strengthen data strategies. Similarly, 20.6% report having a strong data culture, down from 28.3% four years ago, signalling the need for continued focus on fostering data-driven decision-making.
Businesses are eager to harness the power of data, and these insights reinforce the importance of aligning data capabilities with strategic objectives.
So, how do we bridge this divide?
Join us for an engaging panel discussion (with pizza!), where industry experts will:
- Discuss the biggest challenges in data adoption.
- Share real-world solutions for aligning data strategies with business goals.
- Explore actionable ways to drive real impact from data investments.
Meet Our Expert Panel
Event Schedule
- 6:00 PM – 6:30 PM: Networking, Food & Drinks
- 6:30 PM – 7:15 PM: Panel Discussion
- 7:15 PM – 8:30 PM: More Networking, Food & Drinks
Who Should Attend?
- Data leaders & key decision-makers across product, marketing, and other business functions who rely on data to drive business impact.
- All stages of data maturity – Whether you are building a data team for the first time or looking to increase the impact of your existing team.
Directions
- 1 Minute Walk – Borough Station – Northern Line
- 8 Minutes Walk – London Bridge – National Rail, Northern Line & Jubilee Line
- 13 Minute Walk – Southwark – Northern Line
Grab Your Place Today
Meet Our Expert Panel
Ed Gibbs
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 Sainsbury’s 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.
Candice Ren
Candice Ren is the founder of 173tech, a modern analytics agency that helps fast-growing companies turn data into powerful growth engines. Their client portfolio includes global brands like Treatwell, MeUndies, and World of Peppa Pig, as well as local leaders such as Numan, Fyxer, and Ablefy. Prior to 173tech, as the Head of Analytics at Bumble, Candice was responsible for building its analytics function from scratch to $3 billion exit in 5 years, optimising user journeys and monetisation across its app portfolio.
Greg Freeman
With a background crossing commercial and data technology roles, Greg has seen the issues driven by a lack of data literacy first-hand. He’s now on a mission to drive data culture and adoption of data products, with data literacy at its core. Since founding Data Literacy Academy in 2022, his company has helped over 40 enterprise organisations, such as Bentley Motors, SSE, BAE Systems and Coventry Building Society, roll out world-class data literacy and culture programmes at scale.
Keshvi Radia
Building a data-driven VC, Keshvi is Head of Product at Balderton Capital, leading investment and portfolio value-add initiatives with a focus on data and insights. Previously, she led product for payments at Allica Bank and holds a Mathematics degree from Oxford, specialising in numerical methods for real-world problems.
