Piglet in Bed is the home of natural comfort. Founded in 2017, it’s on an exciting journey with ever-expanding ranges and channels. Better data is a key enabler. Datitude’s data solution provides Piglet in Bed with a master view of all its data, plus rich BI and analytics to make better informed decisions.

Mint Velvet is a British success story, growing to over 100 locations internationally, including standalone stores and concessions, in less than 10 years. As our first client, Datitude is particularly proud to be Mint Velvet's core data solutions partner.

Datitude works with one of the world leaders in healthcare. Their innovative new technology is changing the lives of patients managing their disease. Datitude is helping them understand and improve their CRM, including bespoke segmentation to support DTC communications.

GLTC is one of our favourite children's store! Datitude works closely with GLTC's merchandising, web and marketing teams to unlock more of GLTC's potential, including its direct mail campaigns.

Until the pandemic in 2020, Oasis was a stalwart of the high street with more than 80 stores and 200 concessions in over 96 locations across 27 countries. The innovative and creative team at Oasis worked with the Datitude Platform for many years to better understand their customers.

Bird & Blend is leading the way as a tea mixology company and on a mission to reimagine tea. With multiple stores and a thriving international online store, they turned to Datitude to seamlessly integrate data from multiple systems to provide a unified customer view and customer analytics.

A certified B Corporation consultancy, QSA Partners expertise is circular economy business models. Datitude is providing data modelling expertise for an exciting, industry-led project to research, test and develop an EPR (extended producer responsibility) system within the fashion industry.

SkinBioTherapeutics is a life science company focused on skin health. Datitude has designed and built data analytics solution for a number of self-administered, direct-to-participant, food supplement consumer studies.

My 1st Years is a hugely successful, personalised baby gift brand. Prince George notably wore its signature dressing gown when he met US President Obama. Datitude has given them a level of data access they could only dream of before.

Fast growing and now VC backed, Virgin Experience Days selected Datitude for our expertise in data integration and data lake and data warehouse solutions. Its retail model is different to the average retailer, and Virgin had full confidence in Datitude's ability to deliver.

Majestic Wine is the UK's #1 specialist drinks retailer with over 200 stores and an online store. It offers a huge selection of products and a comprehensive range of services to help customers discover wines, beers and spirits they love. Datitude is providing data consultancy services to Majestic Wine to help it get what it needs from its data.

Slater Menswear is the go-to destination for formal menswear and wedding hire wear in the UK, with 26 high street stores and its own website. Datitude has enabled it to improve its BI, reporting, and data usage at an enterprise, regional and individual store level.

Margin Guardian’s unique data insights platform enables fashion retailers to make more informed decisions on markdowns, and reach new customers who want to buy at a price they can afford. Datitude powers the data lakehouse and data visualisations for Margin Guardian’s platform.

Chevron Traffic Management provides physical and digital traffic management services to Utilities, Highways, Rail, Local Authority and Events sectors. They turned to Datitude to provide the data solution for management reporting (balanced business scorecards) and self-service analytics using PowerBI.

Karen Millen is known globally for creating beautiful tailored fashion for confident women. Prior to its revival as a digital-only brand owned by Boohoo, it had stores in over 65 countries and the Digital Team selected Datitude to overcome frustrations accessing its own data.