Big Data Analytics: A Management Perspective by Francesco Corea (auth.)

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By Francesco Corea (auth.)

This e-book is ready innovation, large info, and knowledge technology obvious from a enterprise point of view. large facts is a buzzword these days, and there's a growing to be necessity inside practitioners to appreciate higher the phenomenon, ranging from a transparent said definition. This e-book goals to be a beginning studying for executives who wish (and desire) to maintain the velocity with the technological step forward brought via new analytical innovations and lumps of information. universal myths approximately immense information can be defined, and a sequence of alternative strategic ways might be supplied. via shopping the publication, it is going to be attainable to benefit how one can enforce an incredible info technique and the way to exploit a adulthood framework to observe the development of the information technology group, in addition to the right way to stream ahead from one degree to the subsequent. an important demanding situations with regards to gigantic facts can be mentioned, the place a few of them are extra normal - corresponding to ethics, privateness, and possession – whereas others obstacle extra particular company events (e.g., preliminary public delivering, progress techniques, etc.). the real topic of choosing the proper abilities and other people for an efficient staff can be largely defined, and sensible how you can realize them and figuring out their personalities might be supplied. eventually, few proper technological destiny tendencies should be stated (i.e., IoT, man made intelligence, blockchain, etc.), specifically for his or her shut relation with the expanding quantity of information and our skill to examine them speedier and extra effectively.

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Extra resources for Big Data Analytics: A Management Perspective

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The ability to handle a huge amount of data and the capacity to harness their power will eventually allow us to design algorithms and hardware that could at least approximate, if not fully reproduce, the human brain capabilities. While trends must have some evidences in the present to be acknowledged, future horizons concern things possibly reachable in the future, but not today. So far, big data has been used to understand the complexity that surrounds both social and natural events. However, we are increasingly trying to emulate the human brain, as we strive for new knowledge.

The insights are then passed to Advocates (business intelligence) and Catalysts (customer intelligence team), who respectively communicate that information to executives and use that to increase customers’ satisfaction. 2). Having these four different basic teams guarantees an efficient data-driven business and a sharp outcomes delivering, as soon as the communication across-teams and across-departments is well implemented. It is common practice to have short (five-minutes at most) stand-up internal meetings every morning to wrap up the daily objectives, works, and expected outcomes, as well as weekly meetings with other departments to align the work.

Dull, T. (2014). A Non-Geek’s Big Data Playbook. SAS Best Practices White paper. pdf.

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