Discover the power of 1st party data + Customer Data Platforms. Unify customer data, enhance marketing value, safeguard competitive edge.

This session will explore why everyone is always banging on about the importance of 1st party data by continuing to bang on about the importance of 1st party data. Join us to learn how you can harness the full potential of your 1st party data by bringing all your customer data together in one unified view with a Customer Data Platform. Gain insights on how to enhance the value of your marketing efforts and drive superior business outcomes. Discover the surprising amount of readily available data about individual customers and how to identify, isolate, and protect your 1st party data. Don’t miss this opportunity to unlock the power of your 1st party data with CDPs and safeguard your company's largest competitive advantage.

Hear how JCDecaux, the market leader in out-of-home advertising, utilize advanced analytics to drive brand growth and maximize marketing ROI for clients.

You’ll learn how JCDecaux:

• Drive sales uplift: Use Alteryx to analyse data from Nielsen to drive +18% sales uplift for advertisers near Tesco and Waitrose stores, with an 80% reduction in analysis time.

• Boost ROI: Enhance marketing mix modelling accuracy, resulting in +42% ROI for out of home campaigns

• Leverage AI tools: To identify patterns in marketing results data, optimize results in real time and make more strategic budget decisions.

• Increase brand awareness: Use data to measure the impact of out of home advertising across different geographies, resulting in +19% brand awareness uplift

GDPR and EU AI Act impact on creative data use. Learn best practices in data governance + AI for customer relationship success with a CDP.

How do GDPR and the EU AI Act impact creative data use? The author of 'How to Use Customer Data' and Acxiom’s European Privacy Officer shares her insight into best data governance practices for building great customer relationships using a CDP to create an effective data-driven business.

The topics will include:

Embracing the 'personalization paradox' and its benefits for marketing data scientists.

Devising GDPR-powered data use strategies to empower both customers and brands along the way.

Tips for data scientists to kick start with AI governance

According to a recent EY survey, 53% of Retail & CPG executives rank changing consumer preferences as a top pressure, even above profitability and margin concerns. Customer Data Platforms (CDPs) are vital in this scenario, enabling brands to understand, predict customer needs and offer hyper personalized experiences. Despite the recent surge in CDP investments, many marketers still grapple with achieving meaningful ROI. In this session, we will demonstrate through live examples how to extract actionable insights from your CDP, prioritize efforts, and drive actions to boost your marketing ROI.

The sheer volume of business data has reached an all-time high. Using visualizations to transform this data into useful and understandable information can facilitate better decision-making. This practical book shows data analysts as well as professionals in finance, sales, and marketing how to quickly create visualizations and build savvy dashboards. Alex Kolokolov from Data2Speak and Maxim Zelensky from Intelligent Business explain in simple and clear language how to create brilliant charts with Microsoft Power BI and follow best practices for corporate reporting. No technical background is required. Step-by-step guides help you set up any chart in a few clicks and avoid common mistakes. Also, experienced data analysts will find tips and tricks on how to enrich their reports with advanced visuals. This book helps you understand: The basic rules for classic charts that are used in 90% of business reports Exceptions to general rules based on real business cases Best practices for dashboard design How to properly set up interactions How to prepare data for advanced visuals How to avoid pitfalls with eye-catching charts

One of the big use cases of generative AI is having small applications to solve specific tasks. These are known as AI agents or AI assistants. Since they’re small and narrow in scope, you probably want to create and use lots of them, which means you need to be able to create them cheaply and easily. I’m curious as to how you go about doing this from an organizational point of view. Who needs to be involved? What’s the workflow and what technology do you need? Dmitry Shapiro is the CEO of MindStudio. He was previously the CTO at MySpace and a product manager at Google. Dmitry is also a serial entrepreneur, having founded the web-app development platform Koji, acquired by Linktree, and Veoh Networks, an early YouTube competitor. He has extensive experience in building and managing engineering, product, and AI teams. In the episode, Richie and Dmitry explore generative AI applications, AI in SaaS, approaches to AI implementation, selecting processes for automation, changes in sales and marketing roles, MindStudio, AI governance and privacy concerns, cost management, the limitations and future of AI assistants, and much more. Links Mentioned in the Show: MindStudioConnect with Dmitry[Webinar] Dmitry at RADAR: From Learning to Earning: Navigating the AI Job LandscapeRelated Episode: Designing AI Applications with Robb Wilson, Co-Founder & CEO at Onereach.aiRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business

Data Dynamo is a comic that helps people understand the technology behind Hammerspace. Steve Gordon, renowned Illustartor, and Trip Hunter, Vice President of Corporate Marketing at Hammerspace, join us today to talk about how they came up with Data Dynamo and how this unique marketing approach helps people better understand the technology behind Hammerspace and how everyone can become a Data Dynamo. Download your free copy of Data Dynamo Volume 1 here: https://hammerspace.com/data-dynamo/

DataDynamo #Data #Technology #Storage #Datasilo #illustrator #marketing #VicePresident #podcast #datascience

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By now, many of us are convinced that generative AI chatbots like ChatGPT are useful at work. However, many executives are rightfully worried about the risks from having business and customer conversations recorded by AI chatbot platforms. Some privacy and security-conscious organizations are going so far as to block these AI platforms completely. For organizations such as EY, a company that derives value from its intellectual property, leaders need to strike a balance between privacy and productivity.  John Thompson runs the department for the ideation, design, development, implementation, & use of innovative Generative AI, Traditional AI, & Causal AI solutions, across all of EY's service lines, operating functions, geographies, & for EY's clients. His team has built the world's largest, secure, private LLM-based chat environment. John also runs the Marketing Sciences consultancy, advising clients on monetization strategies for data. He is the author of four books on data, including "Data for All' and "Causal Artificial Intelligence". Previously, he was the Global Head of AI at CSL Behring, an Adjunct Professor at Lake Forest Graduate School of Management, and an Executive Partner at Gartner. In the episode, Richie and John explore the adoption of GenAI at EY, data privacy and security, GenAI use cases and productivity improvements, GenAI for decision making, causal AI and synthetic data, industry trends and predictions and much more.  Links Mentioned in the Show: Azure OpenAICausality by Judea Pearl[Course] AI EthicsRelated Episode: Data & AI at Tesco with Venkat Raghavan, Director of Analytics and Science at TescoCatch John talking about AI Maturity this SeptemberRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In Season 01, Episode 10, host Michael Toland (Product Management Coach and Consultant with Pathfinder Product) talks to Tarek Elqoulaq (Product Manager with Power Digital Marketing). Tarek shares his unconventional journey into data product management, despite not having a background in data or engineering. With experience in product growth and SEO consulting for companies like Audible, Spotify, and Dropbox, Tarek offers a unique perspective on shifting into data platform product management. He and Michael delve into the resources that helped him bridge the knowledge gap, emphasizing the value of hands-on learning. Tarek also discusses the importance of building cross-functional relationships and understanding the architecture and design of the systems you work with. This mindset shift enables tailoring solutions that add value across the organization, highlighting the significance of prioritization and alignment with broader business goals. About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn. About our guest Tarek Elqoulaq: Tarek is a product manager specializing in data platforms, with a passion for building systems that drive high-revenue data products. He previously worked in product growth and consulting, collaborating closely with SEO and product teams at companies like Audible, Spotify, and Dropbox, among others. Connect with Tarek on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate someone that you know. Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!

One of the best applications of data science is that it allows experimentation within any organization at scale. The ability to test a new checkout feature, the color of a button, and analyze whether that improves customer experiences can be truly magical when done correctly. However, doing this at scale means that the entire organization needs to be bought into the experimentation agenda. So how do you do this and how do you make sure this becomes part of your organization’s culture? Amit Mondal is the VP & Head of Digital Analytics & Experimentation at American Express. Throughout his career Amit has been a financial services leader in digital, analytics/data science and risk management, driving digital strategies and investments, while creating a data driven & experimentation first culture for Amex. Amit currently leads a global team of 200+ Data Scientists, Statisticians, Experimenters, Analysts, and Data experts. In the episode, Adel and Amit explore the importance of experimentation at American Express, key components of experimentation strategies, ownership and coordination in experimentation processes, the pillars that feed into a culture of experimentation, frameworks for building successful experiments, robust experiment design, challenges and trends across industries and much more.  Links Mentioned in the Show: American ExpressDecoding Marketing Mix Modeling[Course] A/B Testing in PythonRelated Episode: Data & AI at Tesco with Venkat Raghavan, Director of Analytics and Science at TescoRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In Season 01, Episode 09, host Frannie Helforoush (Senior Digital Product Manager at RBC Global Asset Management) talks to guest Jill Maffeo (Principal Product Manager at Vista). Jill is a data and product management practitioner who joins Frannie in conversation to talk about building and leading effective data and product teams. There's a lot for listeners to takeaway including challenges faced by Jill and how to foster collaboration and drive success. A few of the big questions tackled in this episode are: What are the key elements in building a cohesive and productive team? How can you optimize team structures for efficiency and innovation? What is the 'Product Trio', and why is it crucial for creating successful digital products? How do you integrate data-driven insights into the product development lifecycle? What team metrics or process metrics to follow to align a team? Should a data product manager report to a CPO or a data leader?   About our host Frannie Helforoush: Frannie's journey began as a software engineer and evolved into a strategic product manager. Now, as a data product manager, she leverages her expertise in both fields to create impactful solutions. Frannie thrives on making data accessible and actionable, driving product innovation, and ensuring product thinking is integral to data management. Connect with Frannie on LinkedIn. About our guest Jill Maffeo: Jill has a background in analytics and product management, with experience spanning teams focused on channels and marketing, customer retention, customer service, and ecommerce site platforms. Currently, she leads the strategy for Site Search at Vistaprint, overseeing a dynamic team of software engineers, data engineers, a data product analyst, and data scientists dedicated to enhancing customer and partner experiences. Jill's professional passion lies in metadata development and management, providing solid foundational data to build models and orchestrate customer journeys. Outside of work, she enjoys good books, tasty food, and going on walks. Connect with Jill on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate someone that you know. Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!

Fine-tune your marketing research with this cutting-edge statistical toolkit Bayesian Statistics and Marketing illustrates the potential for applying a Bayesian approach to some of the most challenging and important problems in marketing. Analyzing household and consumer data, predicting product performance, and custom-targeting campaigns are only a few of the areas in which Bayesian approaches promise revolutionary results. This book provides a comprehensive, accessible overview of this subject essential for any statistically informed marketing researcher or practitioner. Economists and other social scientists will find a comprehensive treatment of many Bayesian methods that are central to the problems in social science more generally. This includes a practical approach to computationally challenging problems in random coefficient models, non-parametrics, and the problems of endogeneity. Readers of the second edition of Bayesian Statistics and Marketing will also find: Discussion of Bayesian methods in text analysis and Machine Learning Updates throughout reflecting the latest research and applications Discussion of modern statistical software, including an introduction to the R package bayesm, which implements all models incorporated here Extensive case studies throughout to link theory and practice Bayesian Statistics and Marketing is ideal for advanced students and researchers in marketing, business, and economics departments, as well as for any statistically savvy marketing practitioner.

Send us a text Mastering SEO and Consumer Insights with Sam Torres, CDO of Gray Dot Company. And getting educated on gaming.   Sam Torres is the Chief Digital Officer and co-founder of The Gray Dot Company, Gray Dot Company is a consulting firm that specializes in search engine optimization. Sam outlines expertise in complex digital analytics and consumer insights data.   03:40 Meet Sam Torres05:57 Marketing Platforms07:49 Digital Consumer Intelligence14:55 Defining Success17:55 AIs Impact on Google22:07 Should I Trust Sponsored Adds?23:58 GenAI Positives  LinkedIn: linkedin.com/in/samantha-torres-seo Website: https://thegray.company,  https://legendarypodcasts.com/sam-torres/   Want to be featured as a guest on Making Data Simple? Reach out to us [email protected] and tell us why you should be next. The MakingData Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, wherewe explore trending technologies, business innovation, and leadership ... whilekeeping it simple & fun.   Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Welcome back to another podcast episode of Data Unchained! David Thomson, Senior Vice President of Sales and Marketing at QStar Technologies, joins us to talk about dat storage. In this conversation, we discuss how why people use film for data stoage, the advantages of using film for storage, and the cost and security that comes from using film.

data #podcast #ai #dataexploration #datascience #technology #film #datastorage #storage #storagesolutions

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The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In Season 01, Episode 07, host Michael Toland (Product Management Coach and Consultant with Pathfinder Product) engages in a deep discussion with Andrew Warner (Senior Product Manager at Genome Medical) about the intriciacies of monetizing and marketing healthcare data products. They cover the full gamut from product development, market research, and product validation, to privacy and ethical considerations, as well as financing and funding models. Both Andrew and Michael share their experiences, insights on common pitfalls, and valuable lessons learned.  About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn. About our guest Andrew Warner: Andrew is a Senior Product Manager with eight years of experience in healthcare platforms, data, and integration. He has worked on a diverse range of projects, from mobile apps that reach millions of users to internal data systems that drive business growth. Andrew is passionate about challenging the status quo and fostering business innovation by introducing products that resonate with consumers. Connect with Andrew on LinkedIn.   All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate someone that you know.