July 5th 2022

Methods Analytics shortlisted in DataIQ’s 10th Annual DataIQ Awards

Decoration Element

DataIQ’s prestigious awards honours companies and individuals that have demonstrated excellence in the data industry over the past 12 months.

London – 5th July, 2022 Methods Analytics today announced that it was shortlisted for DataIQ’s annual awards in the Persuading with Data category for its Responding to Covid19: The UKHSA Data Science Partnership project. Winners will be announced at the awards ceremony taking place on 29 September 2022, in London.

This year, DataIQ Awards received 391 submissions across the 5 streams. The Persuading with data award falls within the highly competitive Data Literacy stream, and looks for a clear example of a data output, insight, model or recommendation that influence a critical decision point. Data Literacy stream recognises the projects, outputs, initiatives and individuals who are focused on improving literacy within their respective organisations.

Adrian Gregory, co-founder and CEO at DataIQ said: “The opportunity to use data for the benefit of business, the economy and society has never been greater. The DataIQ Awards play a crucial role by recognising the very best of the great work that is taking place, celebrating and elevating the data and analytics industry and the power to use data for good.”

“We are incredibly proud of the support we provided to the UK Health Security Agency throughout the pandemic and are really excited to have been nominated for this award”, added Oliver Bailey, Commercial and Strategy Director at Methods Analytics. “The need to improve data literacy is highlighted throughout the Government‘s National Data Strategy and the emergence of COVID19 accelerated that requirement, as data became a cornerstone of our lives and the national response.”

About Methods Analytics

Methods Analytics is a dedicated and specialist ​team of data solvers.​ Founded in 2013, we’ve evolved to help customers solve complex problems with data.​ From problem identification, data management and data science, to visualisation, interpretation and the delivery of actionable intelligence – we offer solutions across the entire data lifecycle.

 

Decoration Element
Decoration Element Decoration Element