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Enterprise maturity model for Microsoft business applications in FS
Kai Jie Yan Jiu Yuan· 2024-06-27 00:37
Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - Financial services organizations are increasingly focusing on customer centricity, cost reduction, and improved efficiency, leading to a shift in how enterprise business applications are implemented [2][4] - Microsoft Business Applications, including Power Platform and Dynamics 365, are enabling rapid development and digital transformation in financial services [2][3] - The adoption of Microsoft Business Applications is driven by their integration capabilities, customization, and cost-effectiveness, which help enterprises achieve operational excellence [10][20] Summary by Sections Microsoft Business Applications Landscape in the Financial Services Industry - The financial services industry is leveraging Microsoft Business Applications to enhance customer engagement and streamline operations [3][14] - Enterprises are prioritizing seamless integration, customization, and reliability when choosing Microsoft Business Applications [15][16] Enterprise Maturity Model for Microsoft Business Applications - The report presents an enterprise maturity model categorizing firms as best-in-class, intermediate, and basic based on their use of Microsoft Business Applications [34][41] - Best-in-class enterprises achieve significantly better strategic, operational, and financial outcomes compared to others, with a 1.5 times higher satisfaction rate [36][41] Recommendations for Enterprises to Become Best-in-Class - Enterprises are advised to counter user adoption challenges through internal enablement strategies and to leverage the broader Microsoft ecosystem for cost benefits [43][44] - Establishing a transformation-led culture and leveraging external talent are crucial for enterprises aiming to enhance their strategic and operational impact [46][44] Conclusion - The widespread adoption of Microsoft Business Applications in the financial services sector is driven by competitive pricing and scalability, with best-in-class enterprises overcoming challenges to achieve significant impacts [49][50]
CDO playbook: How chief data officers are transforming government
Kai Jie Yan Jiu Yuan· 2024-06-15 00:37
IDC Spotlight sponsored by Capgemini June 2024 ...
AI-driven development using Pega Infinity ‘24
Kai Jie Yan Jiu Yuan· 2024-06-11 00:32
Investment Rating - The report does not explicitly state an investment rating for the industry or company Core Insights - Pega Infinity '24 significantly enhances productivity and operational efficiency through advanced AI-driven development tools, predictive analytics, and intelligent automation features, promising to elevate development productivity and streamline workflows across the industry [4][5][12] Summary by Sections Background and Context - Pega Infinity '24 builds on the success of Pega Infinity '23, which was found to be 7.8 times faster than custom builds and resulted in a 40% reduction in total cost of ownership over five years [4][7] AI-Driven Development Features - Pega Infinity '24 introduces several AI-driven features, including Pega GenAI Blueprint, Autopilot, Coach, Analyze, and Automate, which enhance the application development lifecycle [15][12] Key Differentiators - The platform offers intelligent process mapping, accelerated development lifecycle, enhanced quality and compliance, and in-depth analytics, which collectively redefine application development [88][89] Pega GenAI Blueprint - This feature aligns business strategy with application development, ensuring that every phase of development meets strategic objectives through intelligent communication and contextual road mapping [16][20][27] Pega GenAI Autopilot - Autopilot boosts productivity by automating repetitive tasks, managing code generation, and ensuring compliance, allowing developers to focus on strategic work [28][30][32] Pega GenAI Coach - The Coach provides intelligent mentorship by analyzing past development patterns and offering actionable recommendations on code quality, architecture, and design choices [36][38][40] Pega GenAI Analyze - This tool transforms data into actionable insights, offering advanced data visualization, user behavior analysis, and application performance insights to support data-driven decision-making [43][45][50][56] Pega GenAI Automate - Automate streamlines workflow automation by analyzing processes and suggesting pre-built automation solutions, simplifying the creation and deployment of automation rules [59][60][63] Enhancements to Constellation - The updated design system in Constellation improves UI development efficiency and consistency, providing advanced components and AI-powered suggestions to elevate developer productivity [76][78][84] Conclusion - Pega Infinity '24 represents a significant advancement in business process management, enabling organizations to achieve unprecedented productivity and strategic alignment through its comprehensive suite of GenAI tools [96][97]