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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? One challenge in applying data science is to identify pertinent business issues.

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Leopard Spots and Zebra Stripes: Fraud and Behavioral Analytics

Thales Cloud Protection & Licensing

Luckily, zebras don’t use mobile devices, or manufacturers would be hard at work on stripe recognition technology. But they’d also be working to supplement their stripe recognition and biometrics with behavioral analytics. About six months ago, I got an email from a good friend of mine, who I’ll call Alex (not his real name).

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Process Excellence: A transformational lever to extreme automation

IBM Big Data Hub

All are transforming their procurement operations by leveraging state-of-the-art process mining and intelligent automation technology. A Process Mining exercise drawing data from enterprise SAP has helped measure KPI performance and define the transformation roadmap. dollars annually in direct or indirect procurement.

Mining 71
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Improving supply chain resiliency in the industrial sector

IBM Big Data Hub

80% of manufacturers report MRO asset management in their facilities needs improvement 60% of construction companies admit their industry is behind when it comes to adopting digital technology 5 ways the industrial sector can improve its supply chain resiliency 1. This equipment is critical to expanding capacity for chip production.

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Data monetization: driving the new competitive edge in retail

CGI

Data monetization: driving the new competitive edge in retail. Retailers are fully aware that their future relies largely on their ability to use data efficiently. However, in today’s dynamic and highly competitive retail sector, retailers need to accelerate their plans and commit resolutely to the path of data monetization.

Retail 96
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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. Information and data are synonyms but have different definitions. ARMA defines data as “Any symbols or characters that represent raw facts or figures and form the basis of information” (ARMA 2016, p 12).