Learn how Ericsson’s Enterprise Wireless Solutions team modernized its analytics stack, replacing legacy tools like Alteryx and ThoughtSpot with scalable, modular data models powered by the dbt platform. With a lean team, we tackled SOX compliance, streamlined operations, and expanded from internal analytics to external analytics. Now we're starting to use the new dbt Fusion engine to accelerate development and more tightly manage costs. Find out how we climbed from legacy limitations to enterprise-grade analytics performance.

Joshua Burkhow, Alteryx,’s Chief Evangelist, will share how recent reports have shown organizations struggling to get the full value out of AI and explore why and how we can shift our approach.

Découvrez, à travers un retour d’expérience client, comment le spécialiste mondial de la cybersécurité Exclusive Networks a automatisé ses prévisions de chiffre d’affaires grâce à un workflow Alteryx conçu par Prime Analytics.

Cette démonstration live vous montrera comment passer de la consolidation des données à des prévisions multi-modèles (ARIMA, ETS), jusqu’à l’édition automatique de commentaires de gestion. Un cas d’usage 100 % actionnable — sans code, mais avec un vrai ROI.

Le processus d’allocation des coûts dans Alteryx s’appuie sur des workflows automatisés pour répartir avec précision les coûts des ETP entre les centres d’activités, selon des critères prédéfinis tels que les effectifs ou les volumes, en respectant des règles spécifiques d’allocation des coûts et de calcul des KPI.

1. Ingestion et préparation des données

Alteryx se connecte à plusieurs sources (par exemple, ERP, CRM, stockage cloud) pour extraire les données liées aux ETP, aux coûts et aux volumes. Le processus agrège, prépare et aligne ces ensembles de données disparates afin de créer une base de coûts unifiée.

2.Amélioration de la qualité des données

Des règles de transformation dynamiques sont appliquées pour garantir la cohérence, supprimer les doublons, gérer les valeurs manquantes et standardiser les types de données. Des outils de profilage des données offrent une visibilité sur les anomalies et valeurs aberrantes susceptibles d’impacter la logique d’allocation.

3. Logique d’allocation des coûts

Cela permet de définir des règles d’allocation flexibles et des étapes de validation — allant de ratios simples à des règles dynamiques dictées par les besoins métiers — en fonction des moteurs de coûts, ETP et volumes, pour garantir l’exactitude des calculs de KPI.

4. Intégration de l’IA générative

Les fonctions d’IA générative (par exemple via OpenAI ou les outils Gen AI d’Alteryx) renforcent le workflow en permettant :

La génération automatique de schémas de données adaptés à un format cible.

L’assistance via un outil Copilot pour créer des transformations à partir d’instructions en langage naturel.

La création de règles d’allocation dynamiques.

5. Sortie et visualisation

Les allocations finales peuvent être exportées vers des outils de reporting, des tableaux de bord ou des data lakes. Les utilisateurs peuvent consulter des synthèses d’allocation, des écarts et des vues détaillées pour appuyer la prise de décision via des applications analytiques personnalisées.

This high-energy session will showcase 15 real AI use cases in just 30 minutes—all powered by Alteryx ONE. Discover how Alteryx ONE acts as the AI Data Clearinghouse, turning fragmented, messy data into trusted, governed inputs that make AI practical, scalable, and impactful.

We’ll explore applications across Controlling, Tax, Procurement, Marketing, Legal, and Support. See how analysts and data scientists can move from idea to execution faster with rapid prototyping of workflows and use cases. And with inbuilt AI capabilities, making your data speak has never been easier—transform insights into compelling emails, presentations, and messages in seconds.

Expect fast, practical takeaways—no fluff—ready to apply directly in your workflows.

Businesses spend countless hours wrangling data: extracting information from messy PDFs, building dashboards that nobody uses, and attempting to extract insights that simply don’t exist. Surely there’s a better way?

In this session, Vishal Soni and Owen Coyle will show how AI and Alteryx can work together to completely transform how you handle data. Starting with one of the toughest challenges: extracting structured information from unstructured PDFs. Instead of complex regex, manual OCR, or hours of cleanup, you’ll see how LLMs inside Alteryx can instantly convert complex documents into clean, tabular data that’s ready for analysis.

Once this data is processed: Alteryx Auto Insights can be leveraged, which produces AI-powered analysis of your data, and jumps straight to the “why” behind the numbers. You’ll quickly see how Auto Insights surfaces the most important trends, patterns, anomalies and actionable insights. All this, while generating personalized, presentation-ready reports to drive action.

Whether you’re new to Alteryx or already an experienced user, you’ll leave this session with a clear understanding of how AI is changing analytics – turning hours of manual work into instant, actional insight – and how Alteryx is that the forefront of this change.

See how LLMs inside Alteryx can instantly convert complex documents into clean, tabular data that’s ready for analysis.

The relationship between AI and data professionals is evolving rapidly, creating both opportunities and challenges. As companies embrace AI-first strategies and experiment with AI agents, the skills needed to thrive in data roles are fundamentally changing. Is coding knowledge still essential when AI can generate code for you? How important is domain expertise when automated tools can handle technical tasks? With data engineering and analytics engineering gaining prominence, the focus is shifting toward ensuring data quality and building reliable pipelines. But where does the human fit in this increasingly automated landscape, and how can you position yourself to thrive amid these transformations? Megan Bowers is Senior Content Manager, Digital Customer Success at Alteryx, where she develops resources for the Maveryx Community. She writes technical blogs and hosts the Alter Everything podcast, spotlighting best practices from data professionals across the industry. Before joining Alteryx, Megan worked as a data analyst at Stanley Black & Decker, where she led ETL and dashboarding projects and trained teams on Alteryx and Power BI. Her transition into data began after earning a degree in Industrial Engineering and completing a data science bootcamp. Today, she focuses on creating accessible, high-impact content that helps data practitioners grow. Her favorite topics include switching career paths after college, building a professional brand on LinkedIn, writing technical blogs people actually want to read, and best practices in Alteryx, data visualization, and data storytelling. Presented by Alteryx, Alter Everything serves as a podcast dedicated to the culture of data science and analytics, showcasing insights from industry specialists. Covering a range of subjects from the use of machine learning to various analytics career trajectories, and all that lies between, Alter Everything stands as a celebration of the critical role of data literacy in a data-driven world. In the episode, Richie and Megan explore the impact of AI on job functions, the rise of AI agents in business, and the importance of domain knowledge and process analytics in data roles. They also discuss strategies for staying updated in the fast-paced world of AI and data science, and much more. Links Mentioned in the Show: Alter EverythingConnect with MeganSkill Track: Alteryx FundamentalsRelated Episode: Scaling Enterprise Analytics with Libby Duane Adams, Chief Advocacy Officer and Co-Founder of AlteryxRewatch RADAR AI  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

In today's data-driven world, the ability to efficiently manage and transform data is crucial for any organization. This presentation will explore the process of converting a complex and messy workflow into a clean and simple Lakeflow Declarative Pipelines at a large integrated health system, Intermountain Health.Alteryx is a powerful tool for data preparation and blending, but as workflows grow in complexity, they can become difficult to manage and maintain. Lakeflow Declarative Pipelines, on the other hand, offers a more democratized, streamlined and scalable approach to data engineering, leveraging the power of Apache Spark and Delta Lake.We will begin by examining a typical legacy workflow, identifying common pain points such as tangled logic, performance bottlenecks and maintenance challenges. Next, we will demonstrate how to translate this workflow into a Lakeflow Declarative Pipelines, highlighting key steps such as data transformation, validation and delivery.

Megan Bowers took an unconventional path to break into the data world. Starting from a self-guided Data Science Bootcamp, she shared her journey through blogging and gained millions of views, and then BOOM! Job offers and monetization opportunities flooded. This is her story. 📌 Interested in blogging for my publication? Get on this interest list: https://tally.so/r/3l4xQW 💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator ⌚ TIMESTAMPS 00:00 - Introduction 03:28 - Gaining traction and recognition through blogging. 07:08 - Career Growth and transition to Alteryx. 14:18 -  Leveraging and advertising your domain expertise. 19:25 - What is a Data Journalist? 22:21 - Writing content. 24:29 - What is Alteryx? 🔗 CONNECT WITH MEGAN 🎥 YouTube Podcast Channel: https://www.youtube.com/playlist?list=PLfSLx4WE4q501UZjL3Hx-DiS4zyeePEN2 🤝 LinkedIn: https://www.linkedin.com/in/megandibble1/ 📸 Instagram: https://www.instagram.com/alteryx/ 💻 Alteryx Website: https://www.alteryx.com/ 🔗 CONNECT WITH AVERY 🎥 YouTube Channel: https://www.youtube.com/@averysmith 🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/ 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://www.tiktok.com/@verydata 💻 Website: https://www.datacareerjumpstart.com/ Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

A migration story with the underlying philosophy, and strategic approach to move from a low-code ETL tool like Alteryx to a modern data engineering mindset with dbt. This transition is not just about adopting new tools but embracing a code-first philosophy that promotes best practices in software engineering, such as modularity, reusability, and transparency.

Speakers: Somnath Chatterjee Lead Data Engineer Cox Automotive

Brett Darcy Lead Software Engineer Cox Automotive

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

If you want to improve your resume to start getting employers' attention and booking job interviews, this one is for you! In this episode, Albert Bellamy shares his top tips to transform your resume and make sure you're putting your best foot forward. You'll leave this show with a number of practical and actionable ideas that you should be able to use to build a better resume immediately.   What You'll Learn: Why resume writing is such an important skill for data pros at all levels How employers review resumes and how you can stand out Albert's top resume tips and pitfalls to avoid   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Albert Bellamy is a Marine veteran, Senior Business Analytics Instructor at Alteryx, and Data Career coach. Get Albert's FREE Resume Guide Follow Albert on LinkedIn

Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

In this insightful fireside chat, Yusen Logistics shares their transformative journey towards embedding a data-driven culture across their organisation, emphasising the pivotal role of analytics in their operational success. The discussion highlights the critical milestones, tools, and strategies that empowered Yusen to evolve from an initial finance automation use case to a company-wide data-driven powerhouse.

Key discussion points include how Yusen:

• Went from a centralised data analytics team to a decentralised model that empowered wider departments.

• Reduced reliance on IT to speed up decision making and scale across the organisation

• Leveraged Alteryx as a catalyst for change, gaining buy in from senior stakeholders and proving value quickly.

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

Megan Bowers has had a fascinating career path. She studied Industrial Engineering before landing in data where she's held roles as an Analyst, Senior Analyst, Data Journalist, and is now the host of the Alter Everything podcast by Alteryx.  In this episode, Megan shares practical tips and useful anecdotes from her journey, and talks about some of the best lessons she's learned as a Data Journalist and from hosting a data-focused podcast.    What You'll Learn: How data professionals need to be thinking about AI and considerations for building trust in the technology Takeaways from thought leaders on the podcast on AI strategy, analytics excellence, and data storytelling How building your professional brand can change your career trajectory and create opportunities   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Megan Bowers is the Senior Content Manager at Alteryx and host of the Alter Everything podcast by Alteryx Alter Everything Podcast Building Your Professional Brand Megan's Medium Blog Follow Megan on LinkedIn

Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Whether big or small, one of the biggest challenges organizations face when they want to work with data effectively is often lack of access to it. This is where building a data platform comes in. But building a data platform is no easy feat. It's not just about centralizing data in the data warehouse, it’s also about making sure that data is actionable, trustable and usable. So, how do you make sure your data platform is up to par? Shuang Li is Group Product Manager at Box. With experience of building data, analytics, ML, and observability platform products for both external and internal customers, Shuang is always passionate about the insights, optimizations, and predictions that big data and AI/ML make possible. Throughout her career, she transitioned from academia to engineering, from engineering to product management, and then from an individual contributor to an emerging product executive. In the episode, Adel and Shuang explore her career journey, including transitioning from academia to engineering and helping to work on Google Fiber, how to build a data platform, ingestion pipelines, processing pipelines, challenges and milestones in building a data platform, data observability and quality, developer experience, data democratization, future trends and a lot more.  Links Mentioned in the Show: BoxConnect with Shuang on Linkedin[Course] Understanding Modern Data ArchitectureRelated Episode: Scaling Enterprise Analytics with Libby Duane Adams, Chief Advocacy Officer and Co-Founder of Alteryx 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

Everything in the world has a price, including improving and scaling your data and AI functions. That means that at some point someone will question the ROI of your projects, and often, these projects will be looked at under the lens of monetization. But how do you ensure that what you’re working on is not only providing value to the business but also creating financial gain? What conditions need to be met to prove your project's success and turn value into cash? Vin Vashishta is the author of ‘From Data to Profit’ (Wiley), the playbook for monetizing data and AI. He built V-Squared from client 1 to one of the oldest data and AI consulting firms. For the last eight years, he has been recognized as a data and AI thought leader. Vin is a LinkedIn Top Voice and Gartner Ambassador. His background spans over 25 years in strategy, leadership, software engineering, and applied machine learning. Dr. Tiffany Perkins-Munn is on a mission to bring research, analytics, and data science to life. She earned her Ph.D. in Social-Personality Psychology with an interdisciplinary focus on Advanced Quantitative Methods. Her insights are the subject of countless lectures on psychology, statistics, and their real-world applications. As the Head of Data and Analytics for the innovative CDAO organization at J.P. Morgan Chase, her knack involves unraveling complex business problems through operational enhancements, augmented financials, and intuitive recruiting. After over two decades in the industry, she consistently forges robust relationships across the corporate spectrum, becoming one of the Top 10 Finalists in the Merrill Lynch Global Markets Innovation Program. In the episode, Richie, Vin, and Tiffany explore the challenges of monetizing data and AI projects, including how technical, organizational, and strategic factors affect your input, the importance of aligning technical and business objectives to keep outputs focused on core business goals, how to assess your organization's data and AI maturity, examples of high data maturity businesses, data security and compliance, quick wins in data transformation and infrastructure, why long-term vision and strategy matter, and much more. Links Mentioned in the Show: Connect with Tiffany on LinkedinConnect with Vin on LinkedinVin’s Website[Course] Data Governance Concepts Related Episode: Scaling Enterprise Analytics with Libby Duane Adams, Chief Advocacy Officer and Co-Founder of Alteryx 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

Despite the critical role of analytics in guiding business decisions, organizations continue to face significant challenges in harnessing its full potential. As data sets expand and deadlines shrink, the urgency to scale analytics processes becomes paramount. What data leaders now need to focus on are essential strategies for analytics at scale, including fostering a culture of continuous learning, prioritizing data governance, and leveraging generative AI. Libby Duane Adams is the Chief Advocacy Officer and co-founder of Alteryx. She is responsible for strengthening upskilling and reskilling efforts for Alteryx customers to enable a culture of analytics, scaling the presence of the Alteryx SparkED education program and furthering diversity and inclusion in the workplace. As the former Chief Customer Officer, Libby has helped many Fortune 100 executives to identify and seize market opportunities, outsmart their competitors, and drive more revenue from their current businesses using analytics.  In the episode, Richie and Libby explore the differences between analytics and business intelligence, analytics as a team sport, the importance of speed in analytics, generative AI and its implications in analytics, the role of data quality and governance, Alteryx’s AI platform, data skills as a workplace necessity, using AI to automate documentation and insights, success stories and mistakes within analytics, and much more.  Links Mentioned in the Show: AlteryxAlteryx SparkED Program[Course] Introduction to AlteryxRelated Episode: From Data Literacy to AI Literacy with Cindi Howson, Chief Data Strategy Officer at ThoughtSpotSign up to RADAR: The Analytics 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