Data bias is another factor which could hamper relief and humanitarian aid to the most needy and vulnerable. For instance, in developing countries, a bias still exists in mobile phone ownership in favor of men.
Another issue is that many of the smaller operators lack the technology and tools to analyze the data from a subscriber’s mobile phone.
Sanyal is clear that merely having access to a vast amount of data is not enough. It is of no use unless actionable insights are extracted from it.
Collaboration also has to improve as a lack of partnerships for sharing of data and insights is another roadblock. More efficiency is possible when data is opened up, and more collaboration occurs.
Mobile data collection is already making the humanitarian response more efficient and effective. Addressing these key challenges would take it to the next level.
