How many marketers could answer complex questions like “Which 2 campaigns are demonstrating more than 10% growth in number of opportunities quarter over quarter?”
Among the organizations we’ve surveyed, maybe two out of ten. 80% would have to wait for a data analyst to create a report, a very manual human-to-human process. What if a machine-to-human AI approach could deliver those insights in seconds and without any manual work or asking questions?
It’s time to solve the “last-mile” problem of user adoption and reduce dependence on reports and dashboards. Join this session to learn how one CMO went from 13-months-prep-time-for-the-annual-report approach to:
Scaling BI and analytics tools beyond analysts to regular marketing users
Leveraging AI and ML to automatically surface and deliver business insights
Interacting with data through natural language audio-visuals instead of creating more reports and dashboards
Also, learn how the largest energy drink manufacturer, largest global pharmaceutical company, and the largest exporter of Californian wines are solving these challenges.