But while it’s critically important, containing real-time insights and valuable customer feedback, unstructured data is often underutilized because:
It’s difficult to process.
The tools for managing and gaining insights from it are still evolving.
It’s harder to maintain Data Quality and avoid bias with its inherent ambiguity.
It often contains sensitive personal information requiring additional usa whatsapp number data stringent security measures.
Healthcare organizations rely on both types of data, collecting and analyzing a tremendous amount of demographic, diagnostic, financial, and other sources of patient data. Every year, the average hospital generates approximately 50 petabytes of information – a volume more than double that of the Library of Congress, translating to 137 terabytes of data created daily.
This volume of data makes it impossible for human teams to review, analyze, and pull insights substantive enough to understand customers and predict health and business outcomes.
Forward-thinking organizations are adopting AI to help their systems do more with the data they collect and to address significant pain points. Common challenges stem from:
Communication issues among humans involved in an interaction
Technology breakdowns
What’s worse, customers can experience multiple disruptions in a single interaction. Here’s a common scenario: