Page 356 - Invited Paper Session (IPS) - Volume 2

IPS277 Matthew Shearing
Figure 1: Example of NSOs working with the private sector on capacity
development

Many PPPs include an advanced NSO (or NSOs) working under the
coordination of a technical service provider from the private sector to the
benefit of a less advanced NSO. The Lao Statistics Bureau (LSB) has worked
with at least three different advanced NSOs under this arrangement. The LSB
Deputy Director General set out at the World Data Forum (WDF) in Dubai 2018
that such “Twinning” under the coordination of private sector had relieved LSB
of the administrative burden of recruiting, managing experts, and monitoring
their interventions. It was also noted that this kind of PPP had allowed for:
• access to a wide pool of highly qualified experts
• ability to finance early mobilisation and rapid deployment
• efficient coordination of team members’ work
• flexibility in meeting changing priorities
• potential to ensure the sustainability of the project’s impact
• enhanced strategic planning, communication and coordination
with development partners

Statistics Netherlands, having worked as part of such arrangements in Laos
also pointed out at the WDF that working with a technical service provider
from the private sector was important given their experience in managing
complex projects, financial administration, and bringing together a mix of
suppliers, including different NSOs with different skills, independent experts,
and other private sector parties, such as IT experts and data innovators.

Technically-specific organisations (private/other sectors)
Organisations from many sectors can contribute to projects in specific
technical area(s), based on their area of expertise, such as in Data Science, IT
systems, or statistical methodology. These include academic institutions with
training units/capability in technical areas or regional training institutes. This
category also includes subject-specific private companies who are often highly
innovative, aware of broader perspectives and techniques across different
sectors, and may have experience in contributing to capacity development
projects. These may be most valuable where their expertise is outside of the
expertise typically held by statisticians, such as IT systems, data science, or
communications. Training or other services from these organisations is most
effective where they have experience in contributing to capacity development
projects.

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