‘big data’ panel discussion using data in applications digital ship hamburg 2015
TRANSCRIPT
‘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?