Data Leaders Summit Europe 2019

23 - 24 October, 2019

Hotel Palace, Berlin

+44 (0) 207 368 9850

Natalie Jakomis, Group Head of Data at GoCompare.com
GoCompare.com Logo

Natalie Jakomis


Group Head of Data
GoCompare.com

Check out the incredible speaker line-up to see who will be joining Natalie.

Download The Latest Agenda

Day 1 - Wednesday 23rd October 2019

Wednesday, October 23rd, 2019


11:45 AM 360 Panel Discussion - Succeeding with rapid experimentation and deployment: What are the critical success factors in organising your people, processes and technologies to successfully implement agile workflows across the business?

  • How can you build flexible data strategies that evolve in line with new technologies and organizational processes to best support business decision making?
  • Succeeding with data-agility: How can you break down big data with agile processes and enable your analytics team to better handle increasing volumes of company data?
  • How can you introduce agile workflows across the data department to continuously deliver on data projects that reinforce data’s value to the business?
  • How to create a blueprint for agile analytics to break down internal silos and fully operationalise analytics across the business

Day 2 - Thursday 24th October 2019

Thursday, October 24th, 2019


9:20 AM Panel Discussion: How to organise your data office to deliver greater business impact and achieve a step change towards a data-first company culture

  • Centralised vs decentralised analytics: How can you best position your data function within the wider company structure to build a community around data science and bring business users on your data journey?
  • How can you embed data science into cross-functional teams to create data products and services in line with current company demands?
  • How to drive collaborative relationships between data, IT and the business to transform operations and fuel innovation to drive digital business transformation
  • How can you connect your data team with departments across the organisation to increase understanding of data’s commercial value and align on key opportunities?