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Originally posted on May 24, 2023 | By Phil Keys To ensure a smooth digital transformation, organizations should prioritize data interoperability, data authentication, and data governance as key operational considerations during their transition to Industry 4.0. highlights Phil Keys, market analyst at Intertrust. Industry 4.0 has accelerated the digital transformation of industrial enterprises by incentivizing the… View Article
Originally published 29 Nov 2022 | By Daniel Gutierrez Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in… View Article
By Kaycee Lai | September 7, 2021 Organizations are collecting more and more data. But most of the insights it may contain will remain inaccessible, unless it is purposefully accessed by a data scientist or analyst. Considering the difficulty in hiring data scientists, this leaves companies in a bit of a bind. Furthermore, even companies with robust… View Article
By Kaycee Lai  |  August 24, 2021 As analyst and journalist Bernard Marr put it, “Without data scientists on staff or available to interpret data and turn the intel into solid business activity, the benefits of data could remain unlocked.” Augmented analytics promises to improve the ability of organizations to derive benefits from data by: Taking more mundane analytics from Data… View Article
This article originally appeared in Experfy on July 17, 2020.  By Michael Burke In the race to become data driven, it’s clear that some industries have a tougher time than others. Namely, industries where human intuition is still of prime importance such as journalism or PR (public relations) are particularly difficult to quantify. To be certain,… View Article
By Michael Burke | February 3, 2020 For businesses to have a systematized process/infrastructure for deriving insight from data–which should be a goal of all organizations–there has to be an organized repository of all the data that might be required for all business operations and analytical questions. That repository is generally known as the ‘data… View Article
By Michael Burke | November 25, 2019 While some industry jargon might make it seem otherwise, there is no data stored on the internet. All electronic data resides on a computer that is lives somewhere. Typically, this computer is called a “server”, a term related to the ‘client-server’ architecture model in which one computer–the ‘client’–makes… View Article