Data & Business Intelligence - Storyboard
Topics
Get Started With Artificial Intelligence – Phases 1-3Use this blueprint to understand what AI really means in practice and get started with your AI explorations to harness its transformative power. |
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Get Started With Artificial Intelligence – Phase 1: Explore the PossibilitiesThis phase of the blueprint, Get Started With AI, will help you understand what AI really means in practice. |
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Get Started With Artificial Intelligence – Phase 2: Learn From Your Peers and Give Your AI a PurposeThis phase of the blueprint, Get Started With AI, will help you learn what others in your industry are doing and define what to do in your organization to create the most... |
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Get Started With Artificial Intelligence – Phase 3: Select Your First AI PoCThis phase of the blueprint, Get Started With AI, will help you brainstorm ideas for your AI initiative, select your first AI PoC, project and create an MVBC for it. |
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Run Better Meetings – Phases 1-3Hybrid, virtual, or in person – set meeting best practices that support your desired meeting norms. Begin to run better meetings by identifying your meetings' current state... |
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Meeting Challenges and Best PracticesIdentify your organization's key meeting challenges and best practices to fix them. |
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Select Your Data Platform StoryboardData platform selection should be based on common best practices and, at the same time, be optimized for the organization’s specific needs and goals and support an... |
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Understand the Data and Analytics Landscape StoryboardThis deck will provide a base understanding of the core disciplines that make up an organization’s data and analytics landscape. The various disciplines explained in this... |
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Establish an Analytics Operating Model – Phases 1-3Self-service analytics is largely misunderstood by many organizations. Your main goal should be to accelerate the speed of analytics and data-driven decision making. This... |
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Establish an Analytics Operating Model – Phase 1: Define Your Analytics NeedsThis phase helps you understand your organization's data landscape and current analytics environment so you gain a deeper understanding of your future analytics needs. |
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