Megan Haughey Dooley
Data Evangelist and Inclusion Champion
A data strategist focused on constructing data culture and improving data-informed decision-making, Megan has designed and delivered transformational data strategy programmes in a variety of businesses. She is also an active builder of diversity within organisations, having started initiatives in reverse mentoring, networking, and career development to improve inclusion and remove barriers to success for all.
Senior Solutions Architect, Data & Analytics, Delaware
An accomplished Business Intelligence, Retail, technology and thought leader with wide ranging experience in SAP, Microsoft and IBM technology spaces.
Asif has been delivering business transformation projects for over 25 years, with a focus on Business Intelligence for the last 15 years, implementing & supporting both hybrid and single vendor solutions and in house and hybrid delivery teams.
His experience of building effective teams from the ground up confirms his strong belief that it is the people who make the real difference and getting the ‘mix’ right is key.
Leveraging his extensive experience and expertise in all aspects of retail, finance, supply chain and customer analytics, he has helped customers navigate their way through the complex technology and team options, focusing on value added activities and solutions.
He remains passionate about unlocking and mining the invaluable resource of data, giving it meaning and context to extract Business Insights, enabling effective decision making.
Senior Solution Architect in Analytics, Delaware
Nicholas is currently a Senior Solution Architect in SAP Analytics at Delaware. With a strong technical background across SAP, Microsoft, Databricks & Data Robot he brings experience of implementing analytics solutions across several products and industry sectors including Retail, FCMG, Logistics and Distribution, Oil and Gas, Consumer Electronics and Advertising. Nicholas is an avid follower of new technology and an authority on AI particularly focusing on the added value Deep Neural Networks and Convolutional networks can bring to data and analytics. Passionate about ‘getting the data sorted’, for Nicholas, the primary objective of using these technologies is to bring about the streamlining and automation of tasks, to bring insights to business both operationally and strategically, and to create for business a competitive advantage, driving growth, and increased profitability. “This is the true joy of building such solutions”.
MS Reporting & BI Analyst, Delaware
With a strong background in Data Science, Tia-Marie has experience in data extraction, transformation, warehousing, and visualisation particularly using Microsoft Azure services and Power BI. She believes that data is a business’s most valuable asset that can only be realised by optimising the overarching data(and Analytics)platform. Having worked with SAP Analytics Cloud, Power BI, and Pyramid Analytics, she is keen to see more businesses adopt a technology agnostic, ‘hybrid’ analytics solution.
Dr. Ravinder Singh
Modernising Technology Programme Manager, Cabinet Office - Central Digital and Data Office (CDDO)
Ravinder has a successful background in digital consulting/ transformation, AI/ ML, IoT , RPA, Blockchain, enterprise architecture, sustainability, standard, assurance and audits, cyber and information security, program/ project management with budgets up to £1.5bn with broad ‘C-level’ experience in both public & private sectors including World Bank, UK government, Switzerland, Thailand, Colombia, Ukraine, Rwanda, India and other governments, Defence, Big-4 consulting, BFSI, software houses, R&D, telecom & Oil/utility sectors.
Ravinder has 2 Copyrights of Software, published 14 research papers, Nominated for Shri Dewang Mehta National Award for Innovation in Information Technology, India; Listed in Who’s Who in the WORLD 2020, 2019, 2018, 2016, 2015, 2014 (32nd and 31st Edition) and Who’s Who in ASIA (1st and 2nd edition) published in 2006 and 2012, by Marquis Who’s Who, USA; Co-Author of book on “Model Driven Business Process Engineering” by Amazon (2016), & Bentham Science (2014)., Accredited IPA Reviewer; Certified PMP, Prince-2, ITIL, Lead Auditor-ISO 27001. CMMI, ISO 9001; Editor of PG, UG and Certificate course material, Board of Studies, Curriculum Design, & Visiting Faculty to various universities and colleges.
Dr Vidhyalakshmi Karthikeyan
Head of Data and Insights, YouView TV
Vidhya leads the Data and Insights function at YouView TV. She is responsible for enabling YouView and its B2B customers to drive innovative viewer experiences with at-scale behavioural and operational performance data. She started her career as a data scientist in 2009, did a PhD part-time and progressed to leading large customer experience-centric data programmes. She is an inventor on 24 patents and applications. She has won several national awards for her achievements and STEM community outreach activities. Vidhya is passionate about figuring out data solutions to business problems, working towards driving organisational culture change in data adoption across all parts of its lifecycle, from creation to exploitation.
Data Scientist, WSP
Josh is a data scientist working in highways at Hertfordshire County council. Having just completed his master’s degree in computer science with artificial intelligence, he has been working for the last two years at looking for ways local government can use cloud computing for their data processing and analysis processes.
Dr Gilad Rosner
Digital Identity, Privacy and Regulatory Consultant
Dr. Gilad Rosner is a digital identity, privacy and regulatory consultant, and Data Protection Officer. Gilad is a published academic, and his research has been used by the Office of the Privacy Commissioner of Canada, the UK Verify.gov programme, and the Welsh Government.
Gilad is a member of the UK ICO Technology Advisory Panel, was part of the Privacy Guidelines Expert Group of the OECD, and is an expert on the regulation of digital identity. He is a Visiting Researcher at the Horizon Digital Economy Research Institute, and he founded the non-profit Internet of Things Privacy Forum. Gilad consults on and researches a broad range of issues including the GDPR, digital wallets, age assurance, emotional AI, children’s privacy, biometrics, and de-identification.
Dr. Sam Prodger
Head of Data, Royal National Lifeboat Institution
Dr. Sam Prodger is the RNLI’s Head of Data Operations and Applications, with a focus on leveraging new data sources to support the Charity’s lifesaving and fundraising efforts, as well as looking at how to run their applications and development of Product way of working. He is also a volunteer lifeboat crew for the same organisation, so he can see first-hand how data can be used to support the RNLI’s search and rescue efforts.
Senior Director of Solutions Engineering EMEA, Pyramid Analytics
Simon’s experience of enterprise software spans over 20 years, covering data integration, business intelligence and analytics, as both a consultant and working in solution engineering for some of the major software vendors. This role continues at Pyramid Analytics where he heads up the European solution engineering team to provide pre-sales technical assistance around the Pyramid Decision Intelligence platform that helps companies to empower all their users to access, analyse and gain insights from all their data. Decision Intelligence, it’s what’s next in analytics.
Director Technical Product Marketing, Qlik
Adam works within the Global Product Marketing team at Qlik. With a strong technical background in computing, underpinned by an incisive engineering perspective, Adam is an avid follower of new technology and holds a deep fascination of all things IoT, particularly on the data analytics side and finding new ways to make it as translatable, visual and understandable to as many people as possible. He has over 20 years of B2B customer facing experience within the IT and automotive sectors, having previously held positions at Canon, Sony, Tevo, Fujitsu and Toshiba.
Senior Data Analyst, Rail Delivery Group
Joe has 10 years’ experience working in Customer Insight/Analysis roles in various industries such as Telecommunications (BT), Micromobility (Bird), Banking (HSBC), and Retail (Apple). Joe is now a Senior Analyst at Rail Delivery Group: Working towards building a simpler, better railway.
Data Governance Director, Precisely
Jonathan has global responsibility for the growth of Precisely’s Data Governance products and services.
He has spent over 25 years working with vendors in the data and analytics space, leading both services and sales teams.
Jonathan enjoys helping organisations on their journeys to move to modern data platforms and put data at the centre of their businesses.
Outside of work, Jonathan enjoys family, travel, and football.
MDM Director EMEA, Precisely
Justin is focused on growing Precisely’s MDM practice across EMEA and APAC across the various products, services, and partner teams. For the last 22 years, Justin has been dedicating his time to delivering enterprise solutions across all major verticals and geographies with a specific focus on solutions that combine people, processes, and data to enable customers to become truly digital businesses. Justin’s personal mantra is “Selling a solution only solves half of the equation”; it needs to be the right solution, delivering the business benefit, implemented by a world-class delivery team – in partnership with the customer.
Lead Associate, Strategy & Operations, Fivetran
An established thought leader in the Data & Analytics industry, Niamh draws on her experience from leading multiple enterprise-wide implementations across some of the largest organisations in Europe. She is passionate about leveraging analytics and data science not just to inform strategy but also execution; to drive impactful value across the business. She gives practical advice to business decision-makers wanting to take the next step with their key technologies and data strategies – with a particular focus on creating the analytical foundations to the growing use of artificial intelligence (AI) alongside business intelligence (BI).