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

IBM Big Data Hub

Without a doubt, there is exponential growth in the access to and volume of process data we all, as individuals, have at our fingertips. 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.

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

AWS Big Data

Under the Transparency in Coverage (TCR) rule , hospitals and payors to publish their pricing data in a machine-readable format. 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.

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What’s the Difference: Quantitative vs Qualitative Data

Alation

Companies collect and analyze vast amounts of data to make informed business decisions. From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. When choosing between qualitative and quantitative data, think about what you want to learn.

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The art and science of data product portfolio management

AWS Big Data

This post is the first in a series dedicated to the art and science of practical data mesh implementation (for an overview of data mesh, read the original whitepaper The data mesh shift ). Taken together, the posts in this series lay out some possible operating models for data mesh within an organization.