What is not defined cannot be measured. What is not measured cannot be improved. What is not improved will always deteriorate.
Defining our expected impact is a first step, in which precision must be balanced with simplicity and cost-effectiveness. Consolidated metrics exist, such as SDGs that be used as such or refined for specific needs at sector or project level.
We support our partners and clients in this exercise, using collective intelligence models, advanced statistics and artificial intelligence techniques for limiting the costs of measurement and evaluation without compromising its meaning and credibility.
A robust measurement process is often a required condition for understanding if our expected impact has happened or not. Data quantity is of course needed, but even more data quality, collected with integrity and precision, in standardizable manners.
We build tools, whether standalone or embedded in existing processes or systems, that facilitate appropriate data collection and consolidation.
Understanding data is key to manage our impact in the medium and long term. Its treatment and analysis are the basis of future decisions made for the public good, and must therefore be made with care.
We provide first-class methodologies and tools for analysing impact-related data: from standard statistical methods, to predictions powered by machine learning on big data, or insightful data visualization.