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Blog - Data & AI Acceleration

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How Enterprise Architects can get more support for technology led innovation  

Enterprise Architects are increasingly vital as guides for technology-led innovation, but they often struggle with obstacles like siloed teams, misaligned priorities, outdated governance, and unclear strategic value. The blog outlines six core challenges—stakeholder engagement, tool selection, IT-business integration, security compliance, operational balance, and sustaining innovation—and offers a proactive roadmap: embrace a “fail fast, learn fast” mindset; align product roadmaps with enterprise architecture; build shared, modular platforms; and adopt agile governance supported by orchestration tooling.

Agi Marx, June 18, 2025

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Becoming customer-first: how smart data drives loyalty 

Being customer first in the digital and data age means placing the customer at the heart of every business decision, strategy, and process. It involves understanding and anticipating customer needs, preferences, and behaviors using data-driven insights and leveraging digital tools to enhance the customer journey.   Modern customer-centric businesses actively seek feedback and engage with customers across multiple channels to cultivate strong, personalized relationships.

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Transforming with data: how to build a digital-first enterprise in 2025 

Digital transformation in 2025 hinges on data—particularly real-time, AI-powered insights that drive automation, personalization, and smarter operations. As nearly two-thirds of business leaders prioritize digital transformation, leveraging data across structured, unstructured, and real-time sources allows companies to anticipate customer needs, optimize spending, and fuel innovation.

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Tracking progress and measuring success 
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Understanding the how of digital transformation: part 4 – measuring success

Measuring the success of digital transformation isn’t a one-and-done exercise—it demands a clear and iterative KPI framework guiding the journey from definition to optimization. Begin by defining performance metrics tied to strategic goals, then use real-time analytics, interactive dashboards, and regular reviews to track progress. Incorporate feedback loops and agile iterations to refine your approach over time.

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Understanding the how of digital transformation: part 3 – scale and optimize

Digital transformation doesn’t stop at initial rollouts—it’s a continuous journey of scaling and refining successful initiatives. First, identify pilots that delivered real value and scale them across teams, regions, or systems using cloud-native, scalable platforms

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Understanding the how of digital transformation: part 2 – execution and implementation

This blog outlines how to execute digital transformation successfully by using agile methods, collaborative implementation, and phased technology integration. Key actions include adopting iterative frameworks like Scrum, building MVPs with cross-functional teams, using low-code tools for speed, and integrating new systems with legacy infrastructure.

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Understanding the how of digital transformation: part 1 – planning and assessment
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Understanding the how of digital transformation: part 1 – planning and assessment

This blog highlights that effective digital transformation starts with structured planning and assessment. Begin by auditing your current tech, processes, and talent to identify gaps, then define clear business-aligned goals and KPIs.

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