Population Density -
Time horizon: 12 months/start of MVP.
Reference: adapted from
https://app.xtensio.com/,
lean canvas
and generated from Data
Ventures lean canvas
template: https://github.
com/dataventuresnz/ven
ture-dv
the
Problem
Solution
Value proposition
Advantage
Customer segments
Right now population count are done 5 yearly
Broker the mobile location estimate data from
With the trust of Stats NZ backing Data
The transparency Data Ventures operate sunder Central government, local government, crown
via the census. A lot of government decisions
all the providers to gain a 100% picture, use
Ventures, we are one of the few operating
is a part of what builds the trust. As part of a
entities, local authorities, council operated
Act
are made from this data and not having more
Stats NZ IP around Population Statistics
models that can allow all competing
government agency, Data Ventures need to be
organisations, Iwi
frequent collections creates a lot of assumption (benchmarking Census, household device
telecommunications data to be brought
clear with the way we operate and how it
behind the quality of decisions made.
survey, data assurance frameworks) and model together in this type of environment.
operates, giving data providers the openness
population density in a more frequent and
they need. If Data Ventures were to ever not
granular level.
deliver on this, there is an Open Information Act
(OIA) that can be called upon to get that
information.
Data Ventures and Stats NZ is neutral party to
Stats NZ and Data Ventures is a trusted party for Data providers
assess the quality to alleviate customer
it's expertise in data quality, assurance,
concerns.
modelling
Existing alternatives
Key metrics
High level concept
Channels
Early adopters
under
Sidewalk labs
Number of agencies paying for access
A high quality population density product that
Government data forums and conferences
Central government and Industry organisations
has improved data and processing than what is
available to the market
Safegraph
Additional features customers will pay for
Government networks
Location data providers.
DIY
Cost structure (0 lowest, 10 highest)
Revenue streams
Complexity: 5 consideration of meeting the needs of the data providers around monitising their data to the value of what
Tier pricing model (Gold/Silver/Bronze), customised datasets/visualisations/access to basic dataset
this is
Risk: 5. Future offering of the product would include demographic data - not sure what demographic data this is. Privacy
Referral fee from the data providers for highly customised work
and cultural aspects we need to conisder.
Effort: 5 This data has not been broguht together before and requires independant consultation and its an enterprise sales
process and always takes a long time
Acquisition: 5 The specifics of long term commercial arrangements with the data providers will be discovered through the
pilot, we understand the options available to them, just unsure of the combinations.
Value: 9 Market validation and the need for this data between the gap with Census will hugely inform Government
Information
organisations and Iwi
Released
Official