Brought to you by the OR Society, in association with the Royal Statistical Society, the Annual Analytics Summit brings together speakers and exhibitors from the very cutting edge of analytics to deliver a one-day event that is a one-stop shop for learning about how big data & analytics are shaping the future of organisational decision making. Filled with case studies, new innovations, and strategies on how to turn data to effective decisions the Annual Analytics Summit is an event not to be missed. So join us on the 21 June 2016 and keep up to date by visiting us here or on Twitter (#TAAS16).
To keep up with all the latest analytics news join our LinkedIn group
Adding value in analytics, this fifth annual event will demonstrate, by way of case examples and tutorial sessions, how developments in decision analytics are leading to increased competitive advantage. Learn new techniques and best practices for applying analytics in your organisation.
Speakers will represent a broad spectrum of sectors that can benefit from advanced analytics. Talks will be of general interest, and are
intended to raise awareness of applications and techniques, that will inspire delegates to think about decision making in their organisation.
Find out about the latest software, professional development, recruiting opportunities and speak to consultants during the breaks. There are a
wide range of stands, representatives and materials available, to help you do more in the age of analytics.
The lively and friendly atmosphere energises the networking opportunities with analytics and O.R. professionals from a variety of sectors at all
levels. Delve into the exhibition, discuss the talks and question the speakers to take full advantage of the day.
The Summit brings together experts in analytics, big data and data science from government, journalism, industry and academia, as well as exhibitors from analytics software providers, leading consultancies, and specialist recruitment agencies.
NEW FOR 2016 – to aid delegates’ learning the format for this year’s event will take the case studies presented in the morning and explore some of the techniques and technologies used in the projects in the afternoon sessions.
PLENARY: Megan Lucero, Data Journalism Editor at The Times & Sunday Times
Data v insight: How computing and data analysis can advance accountability in journalism and society
Over the past few years, The Times and Sunday Times broke several exclusives that led to international outcry and institutional change, due in part to their investment in a computational investigations team. From uncovering tax avoidance, to doping in athletics, the data team at The Times and Sunday Times changed journalism practice by integrating computing into the story finding process. The team, equipped with statisticians, programmers and journalists, lends an analytical eye to stories in a unique way for a newspaper. They were the only team in the UK to reject the polling data - now widely known for being flawed - ahead of the last General Election. This talk by the team's Data Editor, Megan Lucero, will go behind the scenes of several of their big stories and explain how her small team went from being a supporting unit to a key component of Times and Sunday Times investigations.
Megan Lucero is the Data Journalism Editor at The Times and Sunday Times in London. She was part of their first data journalism team and led its development from a small supporting unit to a key component of Times investigations.
Her team’s data mining and analysis brought many issues into the public discourse, including the widespread use of blood doping in athletics, the six-figure pay deals given to charity executives and the shrinking but still present gender gap in income equality the UK. She also spearheaded The Times's political data unit that rejected polling data ahead of the UK’s last General Election.
Her work has been recognised by the Royal Statistical Society and the Global Editor's Network and she is published in Data Journalism: Inside the global future.
The Annual Analytics Summit 2016 takes place at BMA House, Tavistock Square, London WC1H 9JP
on Tuesday 21 June 2016, from 09:15 to 17:00. Registration opens at 08:30 with tea and coffee available.Places cost £100 + VAT early bird rate before 21 May (£150 + VAT thereafter) to include refreshments and buffet lunch.
Located in Tavistock Square only a few minutes' walk from Kings Cross, St Pancras, Euston and Russell Square stations, this is a fantastic Central London location.
Accessibility: - BMA House is committed to providing a venue with good accessibility for all. The morning talks and closing plenary will take place in the Great Hall on the first floor. The afternoon sessions will take place either on the third floor in Black Room and Harvey Room or on the ground floor in Murrell Room and Anderson Barnes Suite. Registration, all refreshments and lunch will be in the Lutyens Suite on the ground floor. Please feel free to contact the OR Society to discuss any special requests.
BMA House is home to the prestigious British Medical Association. This stunning Grade II listed building was designed in 1911 by famed architect Sir Edwin Lutyens and has been the BMA's Headquarters since 1925.
Over 75 years, Operational Research (O.R.) professionals have developed mature methodologies to analyse and use data that can add significant value in decision analytics. The OR Society recognises the importance of sharing this best practice and champions embedding analytics at the heart of every organisation’s decision making processes. The Annual Analytics Summit was initiated to showcase the importance of decision analytics for better decision-making in virtually any area of business.
The OR Society is the professional membership body of the Operational Research (O.R.) community in the UK. The OR Society provides training, conferences, publications and information to those working, and with an interest, in O.R. The OR Society also promotes O.R. in education and business, and as a career. The OR Society encourages its members to continue their professional development through accreditation which enables members to certify their achievements in their job.
Find out more about The OR Society at www.theorsociety.com
The Royal Statistical Society (RSS) promotes statistics, data and evidence for the public good. It is one of the world's leading learned societies and the only UK professional body for all statisticians. Membership is open to all who have an interest in statistics and data analysis; formal qualifications are not necessary.
Find out more about the RSS at www.rss.org.uk
For those with an interest in analytics, in topics such as data science, optimisation, visualisation, Big Data, Regression, Data Mining, Predictive modelling or forecasting, the Analytics Network is intended to be your home within the OR Society. This group aims to bring together resources, news, views and information relevant to the field of analytics. Regular meetings and seminars provide important networking and professional development opportunities.
Want to find out more? Contact us today through our online form, visit our main website, or connect with us through your favourite social media channel