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Modernizing Platforms: A Roadmap to Advanced Analytics
In the era of data-driven decision-making, the demand for advanced analytics and artificial intelligence has never been higher. Yet, many organizations find themselves held back by outdated, fragmented business intelligence platforms that stifle innovation, limit scalability, and impede their ability to compete. Modernizing these platforms isn’t just about staying current
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Top Data and Analytics Insights: IIA's Best Resources of 2024
As we begin a new year of data and analytics advancements, we’re taking a moment to reflect on 2024's most impactful moments in the field. At IIA, we’ve worked hard to deliver resources that empower organizations to increase the ROI of their analytics investments, drive innovation, and make data-driven decisions
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2025 Healthcare Data, Analytics, and AI: Thriving in Chaos
Happy New Year! Congratulations on surviving a busy, dynamic and chaotic 2024 in healthcare. They say there is order in chaos. I believe this to be true, but still looking for it. I recently came across an excerpt from a book that resonated. Thought you might find it valuable on
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Don’t Be Afraid to Use Machine Learning for Simple Tasks
Many professionals view machine learning as advanced technology that you deploy when other approaches fail. In their mind, it’s a sophisticated tool reserved for problems too complex for conventional methods. So, when I talk to businesses, I often hear comments like, “We don’t need to use machine learning for that”
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IIA Roundtable: Building Successful Federated Data and Analytics Teams
As organizations scale, the need for a structured yet flexible approach to data and analytics becomes critical. This virtual roundtable will examine the federated model of D&A teams, exploring strategies for balancing centralized oversight with decentralized capabilities. Join industry peers to discuss effective design, implementation, and continuous improvement of federated
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GenAI Is Reshaping Data Science Teams
Generative AI opens the door to faster development cycles, minimized technical and maintenance efforts, and innovative use cases that before seemed out of reach. At the same time, it brings new risks—like hallucinations and dependencies on third-party APIs. For data scientists and machine learning teams, this evolution has a direct
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The Lead, Shadow, and Sparring Roles in New Data Settings
After spending years navigating the complexities of evolving technologies and business demands in the data world, I’ve gathered some wisdom of my own—much of it centered on driving new developments or re-engineering existing ones. I can’t say it was always an intuitive or straightforward journey to improve or create something
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AI Budgeting in 2025: From Cloud Costs to ROI
IIA clients leverage analytics maturity assessments, battle-tested frameworks, and cross-industry collaboration to prioritize and execute strategic enterprise data and analytics initiatives. We regularly check the pulse of trending topics for our community and facilitate critical conversations in virtual roundtable format for peer-to-peer exchange. In a recent IIA roundtable discussion, data
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Enterprise Analytics Maturity: Trends, Challenges, and Opportunities
In the fast-evolving world of enterprise analytics, measuring and understanding your organization's analytics maturity is more than a "nice-to-have"—it's a necessity. The pressure is mounting from boards and CEOs to quantify analytics capabilities, especially as industries grapple with AI adoption and data-driven decision-making. For over a decade, we have conducted
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Data Fluency or Bust
As I think about our year ahead, I am reminded of my start in healthcare nearly ten years ago. Having led data, analytics and AI initiatives at leading organizations across numerous competitive industries, nothing could have prepared me for healthcare. Much like being dropped off on the shores of a