Realize Enterprise Architecture with AWS and SAFe by Rajnish Harjika

Author:Rajnish Harjika
Language: eng
Format: epub, mobi
Publisher: Packt Publishing Pvt Ltd
Published: 2022-08-22T00:00:00+00:00

Cloud transformation value chain

Using the cloud for migration and modernization of legacy infrastructure, applications, and data and analytics platforms is central to technological transformation, as detailed here:

According to cloud value benchmarking, moving from on-premises to AWS reduces the cost per user by 27%, increases the number of virtual machines (VMs) managed per administrator by 58%, and decreases downtime by 57% and security events by 34%.

Business operations can be digitized, automated, and optimized through process transformation. Analytical platforms are a powerful tool for extracting actionable insights from data. Machine learning (ML) can be used to improve operational efficiency in a range of areas, including customer service, employee productivity, fraud detection, and forecasting. In this way, you can improve customer and employee satisfaction while improving operational efficiency and operating costs.

An organization’s transformation focuses on reinventing its operating model—how it orchestrates efforts to provide value to customers and align with its strategic goals. Utilizing agile methods to rapidly iterate and evolve while organizing your teams around products and value streams will help you become more responsive and customer-centric.

Business model transformation entails reimagining your product/service offering and revenue model through new value propositions. You may be able to take advantage of this to reach new customer segments. Using AWS reduces time-to-market (TTM) by 37%, increases code deployment frequency by 32%, and reduces time to deploy new code by 38%, according to the Cloud Value Benchmarking report.

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