From Chaos to Launch: Your Product is Ready, Your Data Isn't

"Most companies still juggle with multiple different platforms; the communication between these tools and these platforms is happening in spreadsheets, and that is tedious, it's error-prone,” states Søren Lundtoft, Sr. Director of Product Management at Stibo Systems.On the Don't Panic, It's Just Data podcast, host Doug Laney and Søren Lundtoft dive into how business leaders can overcome digital-first challenges, especially when managing product information across a fragmented landscape. They discuss how PXDC—Product Experience Data Cloud—provides a unified, cloud-native solution for centralizing, governing, and syndicating product data. PXDC eliminates manual bottlenecks, automates data onboarding, and ensures every stakeholder works from a single source of truth, enabling faster launches and more consistent brand experiences.The conversation explores the future of product experience, highlighting how AI and agentic workflows are transforming data management. PXDC leverages AI to automate content creation, localization, and compliance, while its composable architecture adapts to rapid market changes. The ultimate advice for data leaders: design systems for change, build on a solid data foundation, and embrace PXDC to unlock agility and growth in the age of AIError Caused by Multiple PlatformsThe Sr. Director of Product Management at Stibo Systems identified the main issue as the use of multiple platforms and internal systems. He said that communication between these tools often occurs in spreadsheets, which are tedious and prone to errors. This leads to a situation where the last mile of data management becomes the longest mile, as companies struggle to share information with third parties. Alluding to the downsides of unstable downstream channels, where requirements change frequently. As he explained, a company might download a spec sheet from a retailer, but by the time they complete it and are ready to go live, a lot of changes have taken place. This ongoing state of change makes it nearly impossible to avoid mistakes and delays.Lundtoft ended with an important piece of advice for C-suite leaders. He urged them to "decide for change" and shape their data systems so they can adjust to quick advancements in the market. He believes that data is "more important than it is right now" and serves as the true foundation for the current AI wave.To learn more about the solution to managing product data and AI and its future, tune into the podcast on YouTube or Spotify at @EM360Tech.TakeawaysBrand owners face significant challenges in a digital-first world.Many companies struggle with multiple data platforms.Communication between tools often relies on spreadsheets.The last mile of data delivery is the most challenging.Consistency in product information is crucial for trust.AI can optimise data management processes.A single source of truth is essential for data governance.Data inconsistency can lead to costly errors.Future data management will involve agentic workflows.Adaptability in data models is necessary for future changes.Chapters00:00 Introduction to Data Challenges in a Digital World01:31 Navigating Complex Data Systems05:46 Ensuring Consistency in Product...

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