Marketing insights from open/public data
At a glance
The company's platform leverages public open data sources for
marketing campaign optimisation. The effectiveness of such a
campaign depends crucially on external factors such as political
opinion, weather, surrounding demographics and even district-level
trends. Research questions are: How can data sources be classified,
and thus the integration be sped up, considering that often
practical restrictions on anonymous access, request limits and
heterogeneous data formats exist? How can multiple data sources be
logically bundled, e.g. citizen data from multiple cities when
looking for just “citizen information“?
Can regression testing and alerting be implemented in a generic way to avoid the negative influences in sudden data changes due to network outages or invalidated URLs?