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Building Analytics Unicorn Teams: Breakthrough Conversation with IIA Expert Asheeka Hyde
In this blog series, Jason Larson, head of content at IIA, sits down with IIA experts who serve as sparring partners for Research and Advisory Network clients. IIA’s RAN expert community, with over 150 active practitioners and unbiased industry experts, is dedicated to advising data and analytics leaders on key
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Identifying and Training Your Internal Consultant: RAN Roundtable Peer Insights
IIA’s Research and Advisory Network (RAN) clients leverage battle-tested frameworks and an exclusive network of over 150 active practitioners and unbiased experts to plan, prioritize, and execute strategic enterprise data and analytics initiatives. We regularly check the pulse of trending topics for the RAN community and facilitate critical conversations in
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May: 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 a webinar on how companies can create grassroots teams to build automation tools internally, an article on AI applications in the health field, and
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IIA Roundtable - Integrating AI into Your Data Strategy
In this roundtable discussion, data and analytics leaders discuss how they’re currently leveraging AI within their existing data strategy and the challenges they face with this integration. Discussion questions include: How are you currently leveraging AI within your existing data strategy, and what challenges have you faced with this integration?What
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Empowering Data Science Teams: Strategies for Maximum Impact
In a results-focused environment, should we measure the performance of data science teams solely by their impact? The short answer is yes, but with some adjustments. Why Measure Productivity? Measuring productivity in data science teams is not trivial. It’s crucial for a data-driven company. The board needs visibility into the
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The 4Ds in Data Storytelling: Making Art Out of Science
Data is everywhere. Anyone with some level of training, and nowadays with a bit of help from AI, can generate some scientific insights out of data and build fancy data visualizations. However, interpreting and selling the meanings behind the numbers and graphs is an art. When ChatGPT and generative AI
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IIA Roundtable: Customer Analytics - Personalization and Automation
In this roundtable discussion, data and analytics leaders will explore the interplay between automation and personalization in customer analytics. This session aims to equip data and analytics leaders with strategies to effectively blend AI technologies with personalized customer experiences, ensuring that digital transformations measurably enhance rather than undermine customer engagement.
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Your End-to-End Product Analytics Strategy
What Gets Measured Gets Managed “What gets measured gets managed” was coined by Peter Drucker, regarded as the father of modern management, in 1954. It is an often quoted saying which is actually part of a larger, and I think more powerful quote: “What gets measured gets managed — even
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For Business AI, Stick to the Fundamentals More Than the Hype
Machine learning has become an indispensable tool for businesses seeking to gain insights, automate decisions, and stay competitive. But the rapid pace of AI advancement and research can be dizzying for companies trying to adopt ML. Should you invest in sophisticated deep neural networks or proven gradient boosted decision trees?
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Integrating AI into Your Data Strategy: RAN Roundtable Peer Insights
IIA’s Research and Advisory Network (RAN) clients leverage battle-tested frameworks and an exclusive network of over 150 active practitioners and unbiased experts to plan, prioritize, and execute strategic enterprise data and analytics initiatives. We regularly check the pulse of trending topics for the RAN community and facilitate critical conversations in