Big Data Panel Discussion Using data in applications

‘Big Data’ Panel Discussion Using data in applications Digital Ship Hamburg 2015

What is ‘big data’?

The 5 V’s of Big Data • Volume – the vast size of the dataset • Velocity - speed data is generated and moved around • Variety – different types and formats of data you can use • Veracity – the trustworthiness of the data • Value - needs to add value and make business sense.

Ship. Serv in data numbers • 9, 000 vessels putting 80% of their purchasing spend • 7 million transactions per year • $3 bn worth of spend per year • 35 million products and services purchased per year • Around 4 billion pieces of ‘purchasing information’ • 55, 000 suppliers • Multiply by 15 years

How we use ‘big data’ to bring Value

Ship. Serv Match and our Matching Engine’ REQ Your Purchasing System Quotes from your usual suppliers and from Ship. Serv Match selected suppliers RFQ QOT PO INV DEL Ship. Serv RFQ The RFQ is also sent to the Matching Engine which deduces the best possible alternative suppliers Use from within your existing purchasing system No training required “Matching Engine” Our Matching Engine will reduce unit costs through: • Better prices • Reduced freight costs Integration On-board System or Excel Forms Integration In addition to your usual suppliers you send your RFQ to Ship. Serv Match Suppliers / Logistics Providers Supplier App Ship. Serv Supplier Web Office Supplier Integration Ships Logistics Provider

How our Matching Engine works Apply 4, 000 purchasing years to every purchase decision you make

Using ‘big data’ to produce Spend Analytics • Focus on nine spend categories • And horizontal spend categories including Services, Tools, Valves, Electrical, etc

Spend on Ship. Serv by category Source: Ship. Serv analysis based on Trade. Net data

By vessel type: Cruise Ships Average Monthly Spend * 2013 Monthly Spend based on average of Jan-Dec Monthly averages ** 2014 Monthly Spend based on average of Jan-May Monthly averages

By vessel type: Offshore Supply Vessels Average Monthly Spend * 2013 Monthly Spend based on average of Jan-Dec Monthly averages ** 2014 Monthly Spend based on average of Jan-May Monthly averages

OSV Deck Stores & Machinery Spend Source: Ship. Serv analysis based on Trade. Net data

Panel Discussion • How does a shipping company create additional Business Intelligence tools from big datasets? • How does a Class Society use ‘big data’ to monitor fleet performance? • How is a Main Engine supplier using ‘Ship Intelligence data’? • Will connectivity hinder the collection of ‘big data from the vessel?