Dashboards and reporting platforms offer limited views of data and many users do not know what questions to ask, resulting in “blind spots” in the typical decision-making process. Meanwhile, AI teams are working on data science models consumed by a small fraction of executives.
Consequently, users are forced to base their decisions on static dashboards or reports that only present historical data. While current analytical platforms only answer “what” happened in the past, MachEye helps users answer “what, why and how” scenarios for everyone at an organization.
This paper highlights the future direction of analytics, including:
- Leveraging machine learning models to analyze "why" and automatically surface and deliver business insights
- Scaling analytics tools beyond analysts to regular non-technical business users
- Interacting with data through natural language audio-visuals instead of creating more reports and dashboards