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guides for technology-led innovation, but they often struggle with obstacles like siloed teams, misaligned priorities, outdated governance, and unclear strategic value.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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From data to action: Native Snowpark and dbt integration in Calibo
Modern data pipelines often involve a patchwork of tools and handoffs – data ingested from multiple sources, transformed, and delivered to business applications.
Data orchestration: why modern enterprises need a data orchestration platform
Data is pouring in from myriad sources—cloud applications, IoT sensors, customer interactions, legacy databases—yet without proper coordination, much of it remains untapped potential. This is where data orchestration comes in.
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Summary In data-driven initiatives, success hinges on establishing clear KPIs: measuring areas like customer satisfaction (e.g., NPS, retention), operational efficiency (e.g., data accuracy, processing speed), engineering performance (via DORA metrics), and financial impact (e.g., cost savings, revenue growth). Platforms like Calibo enable organizations to set baseline metrics early, facilitating effective progress tracking. Paired with continuous…
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This blog urges businesses to take action by establishing robust privacy and ethics policies, ensuring AI models are trained on unbiased, consented data, and maintaining compliance with global regulations like GDPR.
How to build a data-driven culture: empowering organizations with data literacy and tools
Building a data-driven culture requires more than just access to data—it demands a strategic focus on data literacy and the right tools to empower teams.
How to turn data into actionable insights: maximize the potential of your data
Converting raw data into actionable insights demands more than static dashboards—it requires real-time intelligence embedded into daily operations. This blog outlines a strategic framework based on building a robust analytics infrastructure, centering on insight generation, and dismantling data silos through governance and literacy.
