Data Ventures Strategy session @ 22nd
March 2019
Why does Data Ventures Exist
● Revenue for Statistics New Zealand (Stats);
● New reputation for Stats, provide disruptive edge, commercial channel into Stats and
the
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
● Treated as separate from Stats:
under
- 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
● Operate across Government and Private Sectors:
- In a commercial framework
Released
● Generate revenue;
● Provide Insight;
● Realise latent value of data;
● Acquire new users of data;
● Provide expertise and skills;
● Create a broader ecosystem contribution;
●
Official Information Act
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);
Internal Stakeholders
the
● Internal Advisory Board;
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● Legal;
● Finance;
● Comms;
● Internal Naysayers;
● Cheerleaders;
● All staff.
External Stakeholders
under
● 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;
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● Operators in the market.
Who are Data Ventures Partners (Persona)
● Companies to deliver enhanced data outcomes
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● Product / Platform / Data companies with own IP / Data
● Local Government
Who are Data Ventures Customers
● New Zealand for the first 18 months;
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● Private sector;
● Local government;
● Central government;
● Iwi;
● NGO’s;
● Crown entities;
● State Owned Enterprises (SOE’s).
Data Ventures KPI’s
● Validate the value proposition of Data Ventures:
- 1 × product to market with 10 × MVP’s completed
- 5 × open source deliverables (number on count)
the
● Release value to Stats (innovation, processes, IP):
- Numbers of changes influenced
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- 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)
under
● Work with Partners to create new value from data.
Information
Released
Official