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- Data automation is the linchpin, streamlining the end-to-end analytics process from data ingestion to visualization. This revolutionary approach minimizes the manual intervention required at each step, reducing the time and resources traditionally devoted to these tasks.
- As a result, organizations can expect to achieve analytics outputs at an unprecedented pace, empowering them to make decisions in near real-time.
- The first milestone on this roadmap is data ingestion automation. By automating the collection and integration of diverse data sources, organizations eliminate bottlenecks associated with manual data wrangling.
- This sets the stage for the rapid acceleration of subsequent analytics phases.
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