Guaranteeing that the services co-produced between Alisios Corporation and its clients conform to the highest possible quality standards, involving data, information, tools and all related processes, is a core responsibility and duty of our company.

Quality assurance helps ensure that every sector in our society takes responsible action to reliably adapt and potentially take advantage of climate and socio-economic shocks.

Services’ Quality Dimensions

1. Fitness-for-purpose

By definition, a service must serve its users. Hence, a simple collection of data, information or tools in and of itself is not a service. Services need to be fit-for-purpose and, in order to achieve that, the service must be demand-driven.

Since each client in each different sector has its own unique demands, each service must be tailor-made.

2. Reliability

There are multiple ways in which quality can be measured, and hence multiple metrics. We

think that, overall, the most important quality measures must be related to the realiability of the services provided: if the users cannot rely and trust the validity of the service, it is next to useless.

Unavoidably, reliability requires that uncertainty envelopes or measures are included.

3. Transparency

All datasets (including metadata), methods and tools must be well documented and as transparent as possible.

We recognise that certain methods and tools are proprietary, and hence there exist limits imposed by confidentiality agreements and property rights; but even in those cases the general methodology should be described in as much details as possible.

In summary, provision of detailed documentation on datasets, methods and tools is essential to guarantee quality and usability by the user.

4. Accessibility

Efficient decision-making requires easy-to-use, understandable and fast access to the service.

The quality of a service is compromised when –independently of how good it is from a technical point of view- the user cannot access it in a timely manner, or if it is presented in a way that it cannot be understood.