Steve Millward - Valuing data for commercialization
-
Upload
corinium-coriniumglobal -
Category
Data & Analytics
-
view
200 -
download
3
Transcript of Steve Millward - Valuing data for commercialization
Valuing data for commercialization
Why?
Data is a valuable resource – but it’s illiquid and hard to value
Unlock opportunity
Data on the balance sheet
Work data harder
Bring to front of business
Recognise importance
The biggest, most useful datasets are still held in islands
We need rails for data liquidity
Valuation is part of the rails
Clarity for buyers
Fungibility
Value an asset
But valuation is difficult
Knowledge gap
Unlimited inventory
Unprocessed material
So we addressing it
1. Data marketplace
2. Ontology for data
3. Dimensions of value
4. Parameters for dimensions
1. Data marketplace
Generate transactions
Observe deals
Monitor pricing
2. Ontology of data
Classify data for comparability
3. Dimensions that determine data value
Business Value
Uniqueness
Incisiveness
Granularity
Reliability
Freshness
Use and risk
Collection cost
Company size
Cost context
Commitment
3. Dimensions that determine data value
Business Value
Uniqueness
Incisiveness
Granularity
Reliability
Freshness
Use and risk
Collection cost
Company size
Cost context
Commitment
4. Use transactions to calibrate
Requests and prices set by data
owners
Model parameters to prices
Apply model to future pricing
Basic modelling exercise
Application to insights data
Insights are priced on outputs, not inputs
What is my market share in Australia?
8 billion input rows
1 output answer row
What is my market share in Australia
by postcode, demographics and week?
8 billion input rows
1,000,000 output answer rows
Number of output rows
Application to personalisation data
Lots of testing happening
Efficacy more easily proven
Efficiency improvements
Long review time
Data valuation is an unfinished journey
Starting to: Value data for each transaction Assess total market potential for commercialisation Make strong business cases for data exchange Consider this across the industry
White paper goes into much more detailFind it at datarepublic.comPlease give us feedback [email protected]
Get in touch
SYDNEY
Level 2, 50 Bridge Street
Sydney, NSW 2000
SAN FRANCISCO
415 Stockton Street
San Francisco, CA 94108
1300 138 254
www.datarepublic.com