WHAT’S COVERED

  • A comprehensive guide to unifying your data estate and building the foundation for scalable AI innovation, with practical frameworks, real-world case studies, and Microsoft platform guidance to transform fragmented data into enterprise-wide intelligence.
  • Why 60% of enterprise data goes unused and how unified data platforms unlock it for AI innovation.
  • The hidden costs of data sprawl, siloed systems, and vendor fragmentation—and how to eliminate them.
  • How Microsoft OneLake, Azure Databricks, and Microsoft Fabric create a governed lakehouse architecture that breaks down silos.
  • Real-world implementations from PZ Cussons, NTT DATA, IWG, and Grupo Bimbo showing measurable improvements in decision-making, fraud detection, and compliance.
  • How to transform data for AI agent use with vector search, natural language queries, and real-time access.
  • Democratizing analytics across your organization with Copilot in Power BI, low-code tools, and embedded dashboards.
  • Building enterprise-grade governance and security into your data estate from day one with Microsoft Purview.
  • Where Veraqor fits in, helping you adopt Microsoft Fabric, Azure Databricks, and Purview alongside your existing systems to accelerate time to insight and set the stage for AI models that deliver real value.

WHO IT’S FOR

  • Built for leaders responsible for turning data into a strategic asset.
  • This ebook is for decision-makers who know their data estate needs modernization but want a clear, practical roadmap—not vendor pitches. If you’re tasked with unifying fragmented data, reducing costs, strengthening governance, or enabling AI at scale, this guide shows you how.
  • Chief Data Officers and Chief Analytics Officers Unifying fragmented data estates, establishing governance, and enabling enterprise-wide analytics and AI.
  • CTOs and CIOs Modernizing infrastructure, reducing vendor sprawl, and building scalable platforms that support both operational and analytical workloads.
  • Data Engineering and Platform Leaders Designing lakehouse architectures, automating pipelines, and integrating real-time, operational, and analytical data sources.
  • Enterprise and Solution Architects Aligning data, applications, and AI services on Azure while maintaining security, compliance, and interoperability.
  • Business Intelligence and Analytics Leaders Democratizing insights, empowering business users with self-service tools, and embedding analytics into daily workflows.
  • Security, Risk, and Compliance Leaders Implementing end-to-end data governance, protecting sensitive information, and ensuring regulatory compliance without sacrificing agility.
  • Whether you’re starting with siloed legacy systems or scaling an existing data platform, you’ll leave with actionable strategies to unify your data estate, strengthen governance, and unlock the AI outcomes your business needs.