Anamitra Chaudhuri

Great webinar to check out!

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Brands are still in the midst of figuring out how to best integrate #AI into their day to day business. In this @Business Reporter article, my colleague @Eda Cetinok dives into Ipsos’ GET.AI framework that helps organizations prepare for AI adoption. Check it out: https://lnkd.in/gdDAVKW5

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The definitions of qual and quant are getting blurred with new AI capabilities as is clear with our new AI moderated video feature in Upsiide, by Dig Insights. But this confusion over definitions of quant and qual isn’t a new phenomenon. Social scientists and statisticians (my undergrad) use the terms quantitative vs. qualitative data to refer to continuous vs. discrete data in a model. For example, if you have a “qualitative” dependent variable, then you’d run a logistic vs. linear regression. In market research (my industry), qual typically means unstructured data (e.g., interviews/text) and quant means structured data, usually survey data. But other data heavy industries sometimes refer to surveys as qual because they're stated opinions and behaviors, not data on what actually happened. To some people, quant means behavioral data (e.g., purchases at store). And in the future, our data capabilities may increase by another step change. We could have real-time data ingestion using computer vision techniques to quantify almost anything, such as how many people are wearing a specific brand of shoes in a specific city. The AI is already capable, but it’s a complex issue in terms of data privacy and security. If that does come to fruition, then maybe the goal posts shift again and current behavioral quant data becomes “qual” and real-time data is the new gold standard “quant”?

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Does the rise of Generative AI research push data science into the background? 💭 Do we still need data science expertise to grasp the fundamentals of generative AI? 🤔 This article explores the intersection of data science and generative AI, offering insights into their overlapping areas and highlighting the crucial role data scientists play in the continued advancement of Generative AI 🤖 #GenerativeAI #DataScience #ArtificialIntelligence #medium

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When I read a book that educates and inspires business success, I have to share it with other people. Today, that book is by Brett Townsend and Tim Hoskins and is called, “Insights on the Brink: Revitalizing the Market Research and Analytics Industry.” The struggle it addresses is summarized with this quote: “Consumer insights is, almost without exception, classified as nonworking dollars, meaning that we’re considered a cost center instead of a revenue-generating part of the business. So from the get-go, we’re fighting an uphill battle to prove our value.” Many of the concepts resonated deeply with my real-world experience, deeply held beliefs, and lifelong passion. Research insights, analytics, and collaboration are the foundation for driving business impact. We hold the key to unlocking opportunities for change, growth, and transformation—yet we often resist the changes needed to fully unleash that potential. Insights on the Brink challenges the traditional mindsets and practices of our industry, urging us to rethink how we approach our work. It offers fresh ideas and innovative methods that help us achieve the meaningful impact we strive for but don’t always attain. Here are a few excerpts that truly resonated with me. Every time I re-read them, I find myself internally shouting, "YES! This is spot on!" • “If you can’t tell me your story in three slides, you don’t have a story.” • “I don’t need to know everything you know; I just need to know what I need to know.” • “The most successful projects are the ones where the client and agency go on the journey together.” • “And further, the agency role should not end with a report, but should follow through on implications and strategy.” • “It’s not about methodologies: We need to give ourselves permission to break free from methodology and inconsequential data and flip our mindset to focus on outcomes so we can play a more powerful role.” I invite you to get the book and discover how it inspires new thinking and actions that can make a real difference for you! Kudos to Brett Townsend and Tim Hoskins for this remarkable book! https://lnkd.in/g5Pmya_6 #MRX #Insights #ConsumerInsight #CustomerInsight #MarketResearch #MarketingResearch #BusinessImpact

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Quantifying the impact of Customer Experience on the bottom line is often seen as a hard to achieve holy grail. In this piece, we talk about how Ipsos approaches Return on Customer Experience Investment (ROCXI) and the steps to rally the entire organziation from the C-Suite to the frontline around the impact of CX. Spolier Alert: It takes more than just a model! https://lnkd.in/gUAQtTbN #Ipsos #CustomerExperience #ROI #Success

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This article has great suggestions on how to incentivize respondents and increase response rate. Virtual Incentives

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Context is essential to the core of brand and customer experience. Join our webinar on June 26th to see how we at Ipsos and our clients integrate context into all parts of the brand.

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"The most important skill you could build is the ability to ask questions... the smartest person in the room is the one who asks questions, not the one with the answers." - Christopher Frank As a moderator, I love this idea. And as someone who often finds herself thinking "am I the only one who doesn't get this?" I love it even more! .Priscilla McKinney. and Chris make the case that asking questions has always been important, and now it's relevant to AI prompt engineering as well. If you don't know what the question is, how can you get the right answer?? I also love the distinction between summary (organized data) and synthesis (data + judgement). This is a great episode for anyone using data and insights in their role. PSB Insights #littlebirdmarketing #marketresearch

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Love this! #AI can do a lot for us, but over-reliance on certain things cannot be replaced. #AI works best to help facilitate ideas, but there really is not replacement for the human brain. Take a read at the below - a pretty cool paper on this topic by my esteemed colleague Diana Livadic Enjoy! #AI #artificialintelligence #creative #advertising #Creativexcellence #Ipsos https://lnkd.in/gDE4uWuC

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Precision and expertise in data processing is a critical pillar of every research study. At Research Results, Data Management is at the forefront of our processes when executing on all work. Download and read our tips and tricks on why it is critical to put DP planning first.

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Leading the Insights & Analytics team at ReconMR has allowed me to see the impact our work has on our clients from some really exciting angles. One of those is discovering how our work isn't just about collecting and interpreting survey results and data. It's about helping our clients tell a story from the data we collect. https://zurl.co/nq4L

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Data is everywhere, but true impact comes from how you use it. In this episode of Data Gurus, Brett Townsend, SVP of Strategy of Quester, talks about the importance of transforming data into actionable strategies. It’s not just about the data that you have, it’s what you do with that data that counts. To discover the magic of turning data into a catalyst for success, click the link below and listen to my conversation with Brett Townsend and Tim Hoskins of Quester. #Analytics #MA #Data #Strategy #Innovation #Acquisitions #MRX #Restech

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This article by Nikhil Goel from Ipsos MMA (Marketing Management Analytics) outlines six best practices for evaluating and selecting a world-class marketing mix modeling partner. It emphasizes the importance of high-quality data, benchmarks, expert domain knowledge, and techniques aligned with business objectives to drive adoption and value creation. https://lnkd.in/eVevHj8Q

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