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Segmenting Your Analytics and AI Demand, Part 2: Expressing Unrealized Value and Scoring Segment Dimensions
In part 1 of “Segmenting Your Analytics and AI Demand,” we discussed the demand side of the analytics equation and emphasized the shift from a supply-driven to a demand-oriented information economy, where meeting the needs and expectations of data consumers is paramount. When considering demand segmentation, different groups within an
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Constructing an Analytics Capability Roadmap, Part 1
You have built a pipeline of analytics projects responsive to your company’s needs today, factoring in the returned business value for each. In building that pipeline you successfully reprioritized a number of efforts, including offloading several that provided little business benefit or looked more like requests for a BI reporting
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Constructing an Analytics Capability Roadmap, Part 2
In Part 1 of our series, we delved into the foundational steps necessary for companies to transition toward more advanced analytics and AI through the development of an Analytics Capability Roadmap (ACR). This roadmap is crucial for businesses at the early stages of analytics maturity, aiming to shift their focus
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February: 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 MIT article on measuring AI project value, a piece on why your organization might not be deriving value from GenAI, and an article
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Establishing a Self-Service Program in the Age of AI, Part 1
In the analytics realm, “self-service” is a chameleon term, aligned variably with business intelligence, advanced analytics, and concepts like “data democratization” and “citizen data scientist.” It signals a strategic shift toward empowering a wider employee base with robust data access to enable swift, autonomous data-driven decisions—reducing reliance on central BI
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Establishing a Self-Service Program in the Age of AI, Part 2
In part 1 of our blog series on IIA’s framework for self-service analytics, we explored how to the lay groundwork for self-service within the unique history, culture, and characteristics of your organization. Now that we’ve surfaced your data consumers’ assumptions about data and analytics, it’s time to move to next
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The Future of the CDAO Role: Breakthrough Conversation with IIA Expert Neil Bhandar
In this blog series, we sit down with IIA Experts exclusively available to Research and Advisory Network clients who serve as sparring partners on key data and analytics initiatives. IIA’s RAN Expert community was founded in 2016 and currently has 150+ active practitioners and industry thought leaders eager to give
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Mapping an Information Economy Complimentary Research Brief
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Building Trust
In our series, "Accelerating Your Data Innovation Journey," we've delved into healthcare analytics, fostering startup-like teams with an entrepreneurial spirit, creating an enterprise MAP (Maturity Acceleration Plan) to guide your journey, and creating a data, analytics and AI platform. In the last piece, we discussed powering your journey with AI,
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Mapping Your Analytics Operating Model, Part 1
Every company and every function in all companies have operating models whether they know it or not. And even if they know it, they might not see value in clarifying and documenting it. In this sense an operating model is like a diet. Everyone eats and so everyone has a