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Top stories published in June 2023 Hi there! Have you noticed that half of 2023 is already behind us? Time flies, and the advancements in technology and business are no slower. Welcome to the June edition of Analyst’s corner digest. This article is a summary of the main ideas developed by the participants.
Top stories published in October 2023 Hi there! For those interested in AI and data, there is a list of 5 recommended books to get you started with AI, as well as an opinion on how generative AI is going to change requirements development. Here are 5 books to encourage your interest in Machine Learning and AI. > AI Pitfalls?
Top stories published in May 2023 Hi there! We deal with informationtechnology, and not spending enough time on the core of it — information — may result in issues. This is a very famous name you’ll hear in the BA market, a book with more than 500 pages to cover each and every BA concept.
This article was first published in The Data Pub Newsletter on Substack on January 5, 2023. 3, 2023, I get 45.2 Since I hold a degree in computer science/informationtechnology, it is assumed that I already know Excel. When I google the phrase “Excel is dead” , as of today, Jan. million results.
Top stories published in July — August 2023 Hi there! > Keep reading… Sponsored section Our new book just got out on Amazon: InformationTechnology Essentials for business analysts and project managers. Welcome to the a slightly belated July edition of Analyst’s corner digest. This article shows you how. >
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Top stories published in November — December 2023 Hi there! We talk about the book “ The Rock Crusher: A Model for Flow-Based Backlog Management ”. > Christmas is around the corner and the festive season is upon us. What a year it has been! Reflecting on the previous year, I’ve noticed a few strong trends in our articles.
Business analysts and process improvement analysts may prepare process models at key points of business process management, informationtechnology, and regulatory compliance project methodologies. You will then tailor your elicitations of the model’s content and configuration to meet project needs.
This has many advantages, that you can read about here (even though the book is about data catalogs, the arguments also hold true for EAM’s): O. Olesen-Bagneux, The Enterprise Data Catalog (2023), O’Reilly On Medium, Ole Olesen-Bagneux writes exclusively for Analyst’s corner.
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