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Your Firm Is a Unique Information Economy and Why That Matters for Data and Analytics Success
Earlier in the year Chris Donavan, chief data and information officer at Medical Mutual Ohio, joined me in a webinar discussion on IIA’s principles for analytics maturity and the power of assessing the data consumers and producers in your enterprise on a consistent basis. I could think of no better
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2024 AI Legislation and Ethics: Review and Recommendations
As we turn the page on ChatGPT’s first birthday, much has transpired in the space of AI legislation in North America and abroad. The European Union crafted the EU AI Act, the world’s first comprehensive AI law, followed by The White House’s executive order on the safe and secure development
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Creating a Data Strategy Framework, Part 1: Setting a Vision, Assessing Your Current State
IIA has the fortune of working with some of the most interesting and recognizable brands in the world. As you might imagine, we get a lot of questions about AI strategy and one of the first questions we ask our clients is: Do you have a data strategy? A sound
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December: Best of the Web
Read below for a roundup of interesting sites, resources, and articles from around the web, curated and contextualized by unbiased analytics experts at IIA. Highlights include an interview with NVIDIA's CEO on being a leader in times of unprecedented technological growth, a guide on modern data warehousing, and an article
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Creating a Data Strategy Framework, Part 2: Building and Executing on Your Roadmap
This is part two in a blog series on building a data strategy framework that will empower your organization to transition to advanced analytics and AI. In part one, we explored the essence of a demand-intensive data strategy, and the steps required to set a clear vision that aligns with
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Analytics Maturity and the Balancing Act Between Data Consumers and Producers
As IIA’s data and analytics community put a bow on 2023 and put their planning hats on for 2024, I reflected on the key principles essential for establishing and maintaining a high-performing D&A organization. These include recognizing each firm's unique information economy, ensuring collaborative balance between data supply and demand,
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Organizing Analytics: Selecting the Right Organizational Model for Your Team
This article is the introduction to a series on IIA’s observations and guidance around organizing analytics. IIA has researched how best to organize analytics and data science teams for over a decade, and a lot has transpired since our initial writings. Big data has gone from novel to norm, data
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Unlocking Machine Learning Success: The BizML Approach
As others wade through the AI hype, join Machine Learning Week founder and bestselling author Eric Siegel, as he reveals the bizML framework, a six-step practice designed to take machine learning projects from conception to deployment, and learn how it empowers both business and data professionals. Traditional ML—aka predictive AI—has
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A Comprehensive Guide to Responsible Analytics Governance - Complimentary Research Brief
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Organizing Analytics: Evolving the Organization Over Time
In the second installment of our blog series on organizing analytics, we’ll take a closer look at common paths that organizations follow over time as they mature and grow their analytical capabilities. This writing builds on the first article exploring fundamental goals and objectives of organizational structure, a new continuum-based