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
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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
4 April 2022 | By John Hackston Millions of people around the world have completed the Myers-Briggs Type Indicator (MBTI) assessment. It has helped them communicate more effectively, resolve conflicts, and improve their relationships both in and out of the workplace. So why not use it for hiring? Well, for the same reason that you wouldn’t use… 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… 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
By Kaycee Lai | August 10, 2021 If you’re up on the latest trends, you’ve probably heard about something called a “data fabric.” But for most people, this probably sounds about as esoteric as ‘the internet’ sounded in the early 1990s. A data fabric can be thought of as an integrated virtual layer that connects all of… 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