Data Conference Databasea Query.Farm index
Speakers

Danni Pearson

Employers on the program

  1. 2026LBG/Scottish Widows1 talk
Events1
Conferences1
Talks1
Years active2026

The year around now

Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.

JanFebMarAprMayJunJulAugSepOctNovDecBig Data LDNBig Data LDN
Held in the past 12 months Next 12 months Today, Nov 9, 2026

Appearances by year

201920202021202220232024202520262027
  • Big Data LDN

Talks

DateEventConferenceRoleTitleLinks
Sep 23, 2026Big Data LDN 2026Big Data LDNspeakerFrom the High Street to Your Doorstep
as LBG/Scottish Widows
Data is rewriting the rules of retail. From predicting what customers want before they know it themselves, to delivering seamless experiences across stores,…Show less

Data is rewriting the rules of retail. From predicting what customers want before they know it themselves, to delivering seamless experiences across stores, apps and websites, the brands getting it right are the ones putting data at the heart of every decision. In this panel, four experts from some of Britain's most recognised retail names B&Q, Boots, Sainsbury's and Moonpig share how their organisations are harnessing analytics and AI to drive personalisation, power omnichannel strategies and create customer experiences that keep people coming back. But it's not just about the technology. Our panellists will get into the real challenges, building data-driven cultures, breaking down silos, earning customer trust and proving value in a fast-moving industry. Whether you're deep in the data trenches or leading transformation from the top, this session will leave you with practical insights you can take back to your own organisation. Powered by: Women in Data®

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Gemma Trailor112026
Georgia Cook112026
Joanna Crown112026
Miriam Cunliffe112026

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.