Data Ventures Strategy session @ 22nd
March 2019

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Why does Data Ventures Exist
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Revenue for Statistics New Zealand (Stats);
New reputation for Stats, provide disruptive edge, commercial channel into Stats and
new customers;
Innovation for Stats - new processes, systems, methods - can be adopted by Stats;
- “Infect the organisation”;
- Open eyes to possibilities;
Realise new value from existing data assets;
Change the perception of Stats.

Data Ventures is
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Treated as separate from Stats:
- A customer of Stats
- A partner with Stats
- A supplier to Stats
Building on Stats NZ IP;
Open by design;
Backed by Stats reputation;
An experiment;
Providing data broker services;
An “honest broker”;
Disruptive.

Data Ventures will
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Operate across Government and Private Sectors:
- In a commercial framework
Generate revenue;
Provide Insight;
Realise latent value of data;
Acquire new users of data;
Provide expertise and skills;
Create a broader ecosystem contribution;
Be leading edge;
Be an International leader;
Revenue earning with a noble purpose.

 Data Ventures will not
Sell Stats Data;
Do stuff that isn’t “data” related;
Work without a commercial outcome in mind;
Sell data without adding value to it;
Negatively impact the Stats brand or reputation (trust & integrity);

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Internal Stakeholders
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Internal Advisory Board;
Legal;
Finance;
Comms;
Internal Naysayers;
Cheerleaders;
All staff.

External Stakeholders
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Minister/Ministers Office;
Government Agencies - impacted by any venture;
Government Agencies - policy agencies;
Customers;
Prospective customers;
Privacy Commission;
External Naysayers;
Cheerleaders;
Social license - eg: iwi;
Operators in the market.

Who are Data Ventures Partners (Persona)
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Companies to deliver enhanced data outcomes
Product / Platform / Data companies with own IP / Data
Local Government

Who are Data Ventures Customers
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New Zealand for the first 18 months;
Private sector;
Local government;
Central government;

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Iwi;
NGO’s;
Crown entities;
State Owned Enterprises (SOE’s).

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Data Ventures KPI’s
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Validate the value proposition of Data Ventures:
- 1 × product to market with 10 × MVP’s completed
- 5 × open source deliverables (number on count)
Release value to Stats (innovation, processes, IP):
- Numbers of changes influenced
- Numbers of use cases Stats uses data for
Challenge Stats operating model:
- People through Data Ventures
- Operationalised processes
Commercially viable:
- $600K revenue by end of June 2019 (Invoiced)
- Self-sustainable
- Upfront costs repaid to the investor (Stats)
Work with Partners to create new value from data.