Moving to Scale

Mobile big data analytics has demonstrated its value in driving more effective decision making and mitigating risks in a wide range of use cases across the world. The challenge now is to transition from pilot projects to production services, and to encourage the adoption of solutions in a sustainable way across the world. This will drive scale and encourage innovation in the market.

There are three aspects to ‘scaling up’:

  • The solution can be easily repeated – the evolution from a one-off instance of the data extraction, analysis, insight generation and application to solve a specific problem to a solution that can be used regularly. This can involve the ‘operationalization’ of a pilot project, which means that the pilot is translated into a production service.
  • The solution can be easily replicated – whereas ‘repeating’ involves applying a big data solution multiple times, replication refers to the use of a solution in multiple geographies, or applying it to multiple use cases. This requires that a use case, and the associated processes used to generate the solution is packaged in a way that can easily be applied in another country.
  • The solution can be easily expanded – a big data solution can grow its footprint within a country - and include more regions or cities - and hence impact more of the population.

What enables 'scaling up' to happen?

To successfully scale up a mobile big data solution, all of its constituent components need to be addressed. These components are reflected in the structure of this Toolkit:

Scaling a promising pilot project into a production service depends on the adoption of a sustainable business model. This is discussed in detail in the Sustainable Business Models paper, which can be found in the Sustainable Business Model section of the Toolkit section.