‘Big Data’ Panel DiscussionUsing 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.

ShipServ in data numbers

• 9,000 vessels putting 80% of their purchasing spend

• 7 million transactions per year

• $3bn 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

ShipServ Match and our Matching Engine’Ships Office ShipServ Suppliers / Logistics Providers

On-board System or Excel Forms

Your Purchasing System

REQ

Supplier

Supplier

Supplier

ShipServ

Inte

grati

on

Logistics Provider

Inte

grati

onW

ebAp

pIn

tegr

ation

“Matching Engine”

RFQ

Our Matching Engine will reduce unit costs through:

• Better prices• Reduced freight costs

Use from within your existing purchasing system

No training required

The RFQ is also sent to the Matching Engine which

deduces the best possible alternative suppliers

RFQ

POQOT

DELINV

Quotes from your usual suppliers and from ShipServ

Match selected suppliers

In addition to your usual suppliers you send your RFQ to ShipServ Match

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 ShipServ by category

Source: ShipServ analysis based on TradeNet data

By vessel type: Cruise ShipsAverage 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

** 2014 Monthly Spend based on average of Jan-May Monthly averages

* 2013 Monthly Spend based on average of Jan-Dec Monthly averages

Average Monthly Spend

OSV Deck Stores & Machinery Spend

Source: ShipServ analysis based on TradeNet 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?