Exploring Cloud Adoption Possibilities for the Manufacturing Sector: A Role of Third-Party Service Providers

As the manufacturing sector strides towards digitalization under the influence of Industry 4.0, cloud services have emerged as the new norm, driving change and innovation in this rapidly transforming landscape. This study investigates the possibilities of cloud adoption in the manufacturing sector by developing a conceptual model to identify suitable cloud-based solutions and explores the role of third-party service providers in aiding manufacturers throughout their cloud adoption journey. The research methods consist of a comprehensive literature review of the manufacturing industry, digital transformation, cloud computing, etc., followed by qualitative analyses of industrial benchmarks case studies and an investigation into an application of the developed model to a hypothetical food manufacturing company as an example. This study indicates that cloud adoption can yield substantial benefits in the manufacturing sector, including operational efficiency, cost reduction, and innovation, etc. The study concludes that the developed conceptual model provides a practical framework to identify the most suitable cloud-based solutions during the cloud adoption process in the manufacturing context. In addition, third-party service providers like Capgemini are capable of not only filling the technical gaps but also consulting strategic directions and innovations for their client organizations, hence playing a vital role in driving the industrial digital transformation process. With an extensive mapping of their capabilities, a set of recommendations intended to assist Capgemini in enhancing capabilities and improving competitive performance in the market has been offered

Cloud Adoption A Modern Approach

Todays Information Technology world is cloud-centric. Companies are intrigued to migrate their workload private cloud from on-premise Datacenter to Public cloud to take advantage of the latest innovations. It drives the business growth and competitiveness of the organization. At the same time, it is important for Enterprise Architects to understand the drawbacks and challenges to migrate the workload to Cloud. This paper aims to identify the key factors to migrate the workload to the cloud. It also helps an organization to identify the candidate for cloud migration. An impulsive decision to move to the Cloud may be detrimental to an organization. Also, I will discuss one case study to see the benefits and disadvantages of cloud migration. This will help the organization to maximize its ROI

A Framework for Successful Corporate Cloud Transformation

Corporate Cloud transformation is expected to continue to grow double-digit each of the next few years. This growth is augmented by digital transformation, which itself is gaining huge momentum due to the recent consumer behavior trends and especially the COVID pandemic. It is also estimated that globally billions of dollars are wasted due to efficiencies in the way cloud migrations are launched and handled. This paper discusses a framework using which organizations can successfully execute cloud transformation.Comment: 7 pages, 3 figure

Cloud computing : developing a cost estimation model for customers

Cloud computing is an essential part of the digital transformation journey. It offers many benefits to organisations, including the advantages of scalability and agility. Cloud customers see cloud computing as a moving train that every organisation needs to catch. This means that adoption decisions are made quickly in order to keep up with the new trend. Such quick decisions have led to many disappointments for cloud customers and have questioned the cost of the cloud. This is also because there is a lack of criteria or guidelines to help cloud customers get a complete picture of what is required of them before they go to the cloud. From another perspective, as new technologies force changes to the organizational structure and business processes, it is important to understand how cloud computing changes the IT and non-IT departments and how can this be translated into costs. Accordingly, this research uses the total cost of ownership approach and transaction cost theory to develop a customer-centric model to estimate the cost of cloud computing. The Research methodology used the Design Science Research approach. Expert interviews were used to develop the model. The model was then validated using four case studies. The model, named Sunny, identifies many costs that need to be estimated, which will help to make the cloud-based digital transformation journey less cloudy. The costs include Meta Services, Continuous Contract management, Monitoring and ITSM Adjustment. From an academic perspective, this research highlights the management efforts required for cloud computing and how misleading the rapid provision potential of the cloud resources can be. From a business perspective, proper estimation of these costs would help customers make informed decisions and vendors make realistic promises.Cloud Computing ist ein wesentlicher Bestandteil der Digitalisierung. Es bietet Unternehmen viele Vorteile, wie Skalierbarkeit und Agilität. Cloud-Kunden sehen Cloud Computing als einen Zug, auf den jedes Unternehmen aufspringen muss. Das bedeutet, dass Einführungsentscheidungen schnell getroffen werden, um mit dem neuen Trend Schritt zu halten. Solche Schnellschüsse haben zu vielen Enttäuschungen bei Cloud-Kunden geführt und die Kosten der Cloud in Frage gestellt. Dies ist auch darauf zurückzuführen, dass es keine Kriterien oder Leitlinien gibt, die den Cloud-Kunden helfen, sich ein vollständiges Bild davon zu machen, was von ihnen erwartet wird, bevor sie in die Cloud gehen. Aus einem anderen Blickwinkel ist es wichtig zu verstehen, wie Cloud Computing IT- und Nicht-IT-Abteilungen verändert und wie sich dies auf die Kosten auswirkt, da neue Technologien Veränderungen in der Organisationsstruktur und den Geschäftsprozessen erzwingen. Dementsprechend werden in dieser Forschungsarbeit der Total Cost of Ownership-Ansatz und die Transaktionskostentheorie verwendet, um ein kundenorientiertes Modell zur Schätzung der Kosten von Cloud Computing zu entwickeln. Die Forschungsmethodik basiert auf dem Design Science Research Ansatz. Zur Entwicklung des Modells wurden Experteninterviews durchgeführt. Anschließend wurde das Modell anhand von vier Fallstudien validiert. Das Modell mit dem Namen Sunny identifiziert viele Kosten, die geschätzt werden müssen, um die Reise zur digitalen Transformation in der Cloud weniger wolkig zu gestalten. Zu diesen Kosten gehören Meta-Services, kontinuierliches Vertragsmanagement, Überwachung und ITSM-Anpassung. Aus akademischer Sicht verdeutlicht diese Forschung, welcher Verwaltungsaufwand für Cloud Computing erforderlich ist und wie irreführend das schnelle Bereitstellungspotenzial von Cloud-Ressourcen sein kann. Aus Unternehmenssicht würde eine korrekte Einschätzung dieser Kosten den Kunden helfen, fundierte Entscheidungen zu treffen, und den Anbietern, realistische Versprechungen zu machen