Aggregated data from mobile network operators can provide snapshots of population mobility patterns in real time, generating valuable insights when other more traditional data sources are unavailable or out of date. The COVID-19 pandemic has highlighted the value of remotely collected, high-frequency, localized data in inferring the economic impact of shocks to inform decision making. However, proper protocols must be put in place to ensure end-to-end user confidentiality and compliance with international best practice. This paper demonstrates how to build such a data pipeline, for the case of The Gambia, channeling data from mobile network operators through the national regulator to the analytical users, who in turn produce policy relevant insights. The aggregated indicators analyzed offer a detailed snapshot of the decrease in mobility and increased out-migration from urban to rural areas during the COVID-19 lockdown. Recommendations based on lessons learned from this process can inform engagements with other regulators in creating data pipelines to inform policy making.