Big Data and the Importance of Small Data and its Relevance to Insurance

We’ve heard the term “Big Data” but what does it actually mean ? What makes it “big” and is it more important than small data ? Spreadsheets can now handle up to 17 billion data items….but is that big data ? We will look at what the term “Big Data” means, the opportunities it provides and how it is being used in organisations to make better informed decisions. We will explore some of the risks it poses when used incorrectly and why data quality is important. We will also see how a single character typed in to a system incorrectly bankrupted a previously profitable business.

Learning objectives

By attending the session, delegates will:

• Have a good understanding of what “Big Data” really means
• Have an appreciation of how organisations are using Big Data
• Know what the main components of a Big Data system are
• Be able to identify possible targets in their organisation to use big data

Gary is well recognised in the Emerging Technology arena, with particular expertise in financial services, including commercial insurance and legal sectors. He was shortlisted and was a finalist in the 2021 CryptoAM Summit Award for Education, is listed in the “Top 100 Blockchain influencers” list and was placed 19th in Thinkers360 Top 50 Global Thought Leaders and Influencers on Cryptocurrency 2021 report and has been a guest on ITV’s Good Morning Britain, GB News TV and BBC Radio London.

He is a keynote speaker, panellist and moderator at international conferences and events, both online and in person. He provides business and strategy masterclass training for the general market and offers bespoke education, consultancy and advisory services in insurance, legal, banking, automotive and media sectors.

With over 30 years of commercial experience in a variety of industries, including retail, pharmaceuticals, commodities trading and insurance, Gary has acknowledged expertise in the exploitation of emerging technologies including Business Intelligence, Data Analytics and Blockchain / Distributed Ledger Technology, Big Data, Cloud and Edge Computing.