Digitalisation: The influence of digital transformation on the consulting industry / Youssef Amine TAHOUR / 2024

Titre : Digitalisation: The influence of digital transformation on the consulting industry Type de document : Mémoire Auteurs : Youssef Amine TAHOUR, Auteur Année de publication : 2024 Importance : 28 p. Note générale : Pour accéder aux fichiers PDF, merci de vous identifier sur le catalogue avec votre compte Office 365 via le bouton CONNEXION en haut de page Langues : Anglais (eng) Mots-clés : Management MODELE ECONOMIQUE ; INFORMATIQUE ; TIC Entreprise PWC ; ERNST AND YOUNG Résumé : The thesis delves into the profound impact of digital transformation on management consulting firms (MCFs). The research centers on understanding how MCFs innovate their business models (BMs) to effectively provide digital transformation consulting services and stay competitive in the fast-evolving digital landscape. The paper is structured to provide a comprehensive analysis of digital transformation, starting with a literature review and followed by methodology, data collection, analysis, main findings, and conclusions. It emphasizes the essential role of consulting firms in guiding other companies through digital transformation, given their expertise in blending technology with business strategy. Digital transformation is defined as a fundamental change process enabled by digital technologies, strategically leveraging resources and capabilities to significantly improve an entity and redefine its value proposition. This phenomenon has touched all industries, including consulting, where technology-driven consulting is the fastest-growing service line in Europe since 2015. The thesis explores the different stages of digital transformation: digitization, digitalization, and the transformation of business models using IT. It highlights that digital transformation in the service industry impacts business models significantly, leading to faster service delivery and increased efficiency. However, the management consulting industry has been slow in adopting digital transformation, despite its role in promoting business transformation for clients. Focusing on the consulting industry, the thesis discusses the origins and evolution of digital transformation. It notes the shift from traditional to online business models and the increasing importance of data analytics, AI, blockchain, and IoT in contemporary business strategies. The research also covers the changes in consulting models, emphasizing digital-first consulting, data-driven decision-making, specialized services, collaborative ecosystems, subscription-based models, automation, remote consulting, and client-centric approaches. The methodology involves analyzing data from major firms like PwC, Lebara, and EY, evaluating their digital transformation initiatives and extracting lessons applicable to other organizations. The study provides an in-depth look at each company's transformation journey, highlighting their strategies, technological advancements, and the impact on their operations and client services. Programme : Tema Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=602273

Think Python / Allen B. DOWNEY / O'REILLY MEDIA (2024)  

Titre : Think Python Type de document : e-book Auteurs : Allen B. DOWNEY Mention d'édition : 3ème éd. Editeur : O'REILLY MEDIA Année de publication : 2024 Importance : 328 p. ISBN/ISSN/EAN : 978-1-09-815541-4 Langues : Anglais (eng) Mots-clés : Management LANGAGE INFORMATIQUE Résumé : Python is an excellent way to get started in programming, and this clear, concise guide walks you through Python a step at a time--beginning with basic programming concepts before moving on to functions, data structures, and object-oriented design. This revised third edition reflects the growing role of large language models (LLMs) in programming and includes exercises on effective LLM prompts, testing code, and debugging skills. With this popular hands-on guide at your side, you'll get: A grounding in the syntax and semantics of the Python language A clear definition of each programming concept, with emphasis on clear vocabulary How to work with variables, statements, functions, and data structures in a logical progression Techniques for reading and writing files and databases A solid understanding of objects, methods, and object-oriented programming Debugging strategies for syntax, runtime, and semantic errors An introduction to recursion, interface design, data structures, and basic algorithms How to use LLMs--including effective prompts, testing code, and debugging And more Nombre d'accès : 1 En ligne : https://neoma-bs.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/ne [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=587445

Android Medical Apps : Analysis of the Health App Landscape / Antoine AMOROSO / 2023

Titre : Android Medical Apps : Analysis of the Health App Landscape Type de document : Mémoire Auteurs : Antoine AMOROSO, Auteur Année de publication : 2023 Importance : 32 p. Note générale : Pour accéder aux fichiers PDF, merci de vous identifier sur le catalogue avec votre compte Office 365 via le bouton CONNEXION en haut de page. Langues : Anglais (eng) Mots-clés : Management DROIT DE LA SANTE ; INFORMATIQUE ; MEDECINE Résumé : In today’s digital age, one cannot overlook the growing popularity of medical mobile applications specifically designed for Android users. Offering easy-to-use interfaces with access to relevant health information faster than ever before via smartphones or tablets - these innovations have created an opportunity to promote primary prevention by educating patients and improving self-management; however concerns over their impact upon overall healthcare quality remains disputed. This thorough literature review provides insight into key patterns within the market for such applications whilst also analyzing both benefits as well as limitations present. An analysis of the medical category of 200 apps will be conducted to identify significant trends and map out challenges and opportunities prevalent in this fast- paced expanding market. It addresses key trends, challenges, and opportunities in this growing field, examining existing research, acceptability and adoption of medical apps, the role of personalization and interaction, and the quality and evaluation of these apps. The study will also focus on analyzing 200 apps in the medical category to identify key trends and map out the challenges and opportunities in this rapidly growing market. Programme : MSc International Project Development Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=581904

Excel et le traitement statistique des données / Pascale BOUCHER / Saint Laurent : Ed. ERPI (2023)

Titre : Excel et le traitement statistique des données Type de document : Livre Auteurs : Pascale BOUCHER, Auteur Editeur : Saint Laurent : Ed. ERPI Année de publication : 2023 Collection : ERPI sciences humaines, ISSN 1914-1955 Importance : 184 p. Présentation : ill. Format : 28 cm ISBN/ISSN/EAN : 978-2-7661-5393-0 Langues : Français (fre) Mots-clés : Management INFORMATIQUE ; STATISTIQUE Résumé : Un guide complet et facile à suivre pour maîtriser pleinement Excel et le traitement des données Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=585621

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
058273	005.54 BOU	Livre	Library Campus de Reims	Salle de lecture	Disponible
058272	005.54 BOU	Livre	Library Campus de Reims	Salle de lecture	Disponible
058271	005.54 BOU	Livre	Library Campus de Reims	Salle de lecture	Disponible

Low-Code AI Quantity: 3 / Gwendolyn STRIPLING / Paris : O'REILLY (2023)  

Titre : Low-Code AI Quantity: 3 Type de document : e-book Auteurs : Gwendolyn STRIPLING, Auteur ; Michael ABEL, Auteur Editeur : Paris : O'REILLY Année de publication : 2023 Importance : 328 p. ISBN/ISSN/EAN : 978-1-09-814678-8 Langues : Anglais (eng) Mots-clés : Management BASE DE DONNEES ; LANGAGE INFORMATIQUE ; WEBMARKETING Résumé : Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems. Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loading and analyzing data; feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications. Nombre d'accès : 3 En ligne : https://neoma-bs.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/ne [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=582069

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L'expansion de l'utilisation des méthodologies Agiles, avec un accent particulier sur Scrum, de l'industrie du Logiciel à l'industrie des Services Financiers. A-t-elle mené à une augmentation de la productivité dans la gestion de projet ? / Alison WALL / 2021

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Microtransactions in the video game industry the impact of microtransactions on customer’s behavior in the video game industry / Peter MICOLLET / 2021

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