Data & Business Intelligence
Topics
Determine When You Should Use Synthetic Data – StoryboardUse this deck to build your roadmap to synthetic data use, ensuring it solves the right problems, can be generated and used safely, and supports strategic business outcomes. |
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Determine When You Should Use Synthetic DataData is the indispensable foundation of decision-making, but what can organizations do when usable data is lacking? With the aid of AI, synthetic data is fast becoming a... |
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Determine When You Should Use Synthetic Data – TemplateUse this template and included checklist to validate your synthetic data use case and articulate the value of your initiative to decision-makers. |
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Microsoft Announces Advancements in AI-Driven Communication and Collaboration Tools at Enterprise Connect 2025Microsoft unveils new AI-driven features in Teams, enhancing security, compliance, and collaboration tools for better user experience and productivity. |
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Zoho Focuses on Its Enterprise-Ready Evolution at ZohoDay 2025Zoho offers enterprises practical, AI-driven tools for growth and efficiency with cost-effective solutions for global market challenges. |
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Business Context Interview GuideAn interview guide to help you elicit the business context by interviewing business leaders and peers. |
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Build a Robust and Comprehensive Data Strategy – Phases 1-5Maximize the value of your data with an organization-first, technology-second strategy. This storyboard delineates a five-phase process to defining and developing a modern... |
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Data Strategy Stakeholder Interview Guide and FindingsUse this template to support you in understanding the current data consumption practices of the organization and uncovering stakeholder goals and vision around the... |
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Data Strategy C-Suite Presentation TemplateThis in-depth presentation template provides an example of a complete data strategy, ready to be tailored to your organization and presented to your executive leadership to... |
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Data Initiatives & Strategy Ideation PrimerUse this primer to help connect the dots between what the organization needs and what is technically possible for your data team. |
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