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How can CIOs Build Business Value with Business Analytics?

Smart Data Collective

Analytics is becoming more important than ever in the world of business. Over 70% of global businesses use some form of analytics. For both reasons, the role of CIOs has to embrace automation and analytical thinking in strategizing the organization’s initiatives. They are using analytics to help drive business growth.

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Upskilling and reskilling for talent transformation in the era of AI

IBM Big Data Hub

For example, someone who currently works in data processing might need to embrace reskilling to learn web development or advanced data analytics. Reskilling refers to learning an entire set of new skills to do a new job. But what about upskilling?

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

AWS Big Data

The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data. As hospitals generate this data, they can use their organization data or ingest data from other hospitals to derive analytics and competitive comparison.

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

IBM Big Data Hub

Grasping these opportunities at IBM, we’re increasingly building our specialism in process mining and data analysis tools and techniques we believe to be true ‘game changers’ when it comes to building cultures of continuous change and innovation. So how do you spot this early, and react or even prevent this in a timely and effective manner?

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The art and science of data product portfolio management

AWS Big Data

These data products may be widely used across business functions to support reporting and analytics, and—to a lesser extent—operational processes. Branch (cross-domain data products) – Cross-domain data products represent the most common cross-domain use cases for data (for example, joining customer data with product data).

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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. Generally they would only capture a zip code due to technology limitations.