Learn Why Executives Ignore Your Dashboards (And What They Want Instead): core concepts, capabilities, practical use cases and implementation considerations...
Why Executives Ignore Your Dashboards (And What They Want Instead) is explained in this M365 FM video guide. Learn the core concepts, key capabilities, practical use cases and implementation considerations for real-world Microsoft environments.
Most organizations think they need better dashboards, but the truth is that dashboards didn't fail, they expired. The executive decision model has moved forward while the reporting model stayed put, leading to a massive gap between visibility and action.
🚀 In this video, we explore the fundamental shift from canvases to intent. We dive deep into why dashboards are losing their monopoly over attention and how the business environment has changed across three axes: speed, scope, and trust. You will learn why executives often bypass reports to ask a human for a decision, and how data teams can pivot to focus on the only metric that truly matters: decision velocity.
🏗️ We also break down the technical architecture required for this new era, including the role of semantic models, identity as a control plane, and the rise of agentic layers that compile meaning instead of just displaying pixels. Whether you are using Microsoft Fabric, PowerBI, or looking to integrate AI into your workflow, this session provides a roadmap for owning the answer lifecycle and reducing the latency between a question and a move.
📍 Chapters
0:00 The expiration of the dashboard model
3:45 Why the human remains the interface
7:10 Visibility does not equal decisions
10:30 Understanding decision latency
14:15 Five assumptions dashboards require
18:20 Why reporting was once rational
22:40 The impact of speed, scope, and trust
26:10 The move toward intent-based interfaces
30:35 Technical shifts: Orchestration over rendering
34:50 Identity as the new access compiler
38:55 Microsoft 365 and the context substrate
43:15 Scenario one: The executive question
47:40 Scenario two: Data agents and response
52:20 Scenario three: PowerBI as an evidence layer
56:50 Comparing canvases and generated answers
1:01:30 Decision velocity over adoption metrics
1:05:45 How AI changes the data leadership role
1:08:00 Closing summary
👉 If you are ready to stop shipping artifacts and start delivering decisions, make sure to subscribe for more architectural deep dives. Let us know in the comments: what is the one question your organization can never answer fast enough?
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