As analytics platforms become more accessible to a broader range of users, and use cases multiply and diversify across organizations, the decentralization of analytics breeds chaos for analytics specialists focused on architecture. A federated architecture can enable agility, control and resiliency.
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Christopher Long
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As a Director Analyst with Gartner for Technical Professionals on the Analytics & AI team, my primary focus is on conducting industry research and publishing thought leading insights. I provide actionable advice on analytics and business intelligence (A&BI) best practices, meeting and advising practitioners and product leaders across organizations and supporting clients through inquiries. A key aspect of my role is enabling end clients to design their future roadmaps for their data and analytics teams by intersecting actionable strategies and my past 25 years of work experience in various verticals. I actively share these insights through my published research and presenting at Gartner conferences globally.
My areas of specialization include:
- Analytics and business intelligence (A&BI) best practices
- Self-service enablement
- A&BI tool selection
- Metrics & Semantic Layer
- Augmented Analytics
- Data Storytelling
Bio from: gartner-data-analytics-india-2025
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Organizations continue to struggle to prove the value of agentic analytics initiatives, often due to a disconnect in AI's ability to connect and interpret operational metrics. To unlock the full value of AI, you need a robust metrics framework. A metrics framework provides a structured approach to measure success by aligning high-level strategy with daily operations, enabling both human and agentic data-driven decision-making. By distilling strategy into clear, simple, actionable KPIs, these frameworks enhance transparency and yield insights for strategic recommendations and measurable business value.