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How healthcare organizations can analyze and create insights using price transparency data

AWS Big Data

The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals. The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data.

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Upskilling and reskilling for talent transformation in the era of AI

IBM Big Data Hub

The rise of AI is fundamentally remaking corporate strategy. For example, healthcare companies are starting to use machine learning technologies to improve and speed up medical diagnoses. This approach is a more efficient way to identify gaps than through guesswork or asking employees where they need help.

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How to unlock a scientific approach to change management with powerful data insights

IBM Big Data Hub

Not only can data support a more compelling change management strategy, but it’s also able to identify, accelerate and embed change faster, all of which is critical in our continuously changing world. Process mining tools can perform a fit-gap analysis on new processes to rapidly and more accurately identify the greatest change impacts.

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What’s the Difference: Quantitative vs Qualitative Data

Alation

From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. A big part of data analysis includes understanding what’s essential about collected information. Natural language processing (NLP) is a machine learning analysis technique.