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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

For example, on e-commerce and social media sites, a positive CX will help foster “stickiness” that drives social engagement and sales – or “social commerce.”. Thus, they present interesting opportunities because information retrieval from a data lake is “fishing for information” that is relevant for the query, but not knowing where to look.

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Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

CGI

Data is equally key to segmenting customers for targeted offerings and to staying on top of the customer journey across various channels to improve call center traffic and sales. Some utilities have built “data lakes” to handle structured and unstructured data (weather, social media, sensors, etc.),