The Data Edge: Data Quality & AI Readiness

Stephanie Wiechers & Erwin de Werd
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  • TECHNOLOGY

Welcome to the Pearstop podcast series on data management, where experts Stephanie Wiechers and Erwin de Werd dive into the world of data quality, standardization, and the real-world value of information in technical industries. From procurement and facility management to hard services and large-scale manufacturing, we explore how 'messy' data can cost organizations millions—and how to fix it. Join us as we break down complex topics like enterprise-level standardization and Microsoft Fabric into concrete, actionable steps. Whether you're a CEO, an asset manager, or a bid specialist, this series provides the insights you need to turn your data into a fuel for smart decision-making and AI readiness. Don't let your data work against you—learn how to make it your greatest competitive advantage.

Episodes

  1. How Data Management Impact the Bottom Line

    23H AGO

    How Data Management Impact the Bottom Line

    Summary In this episode of Data Edge, Erwin De Werd and Stephanie Wiechers discuss the critical role of data management and quality in driving business success. They explore how data quality impacts the bottom line, particularly for C-level executives who often overlook its foundational importance. Through real-world examples, including procurement and predictive maintenance, they illustrate how effective data management can lead to significant cost savings and strategic advantages in competitive markets. Takeaways Data management should empower businesses, not hinder them.Data quality is essential for creating actionable insights.C-level executives often overlook the importance of baseline data quality.Improving data quality can lead to significant cost savings.Predictive maintenance relies heavily on accurate data management.Data quality impacts both operational efficiency and strategic decision-making.Companies often sit on valuable data without realizing its potential.Effective data management can differentiate a company in the marketplace.Understanding margin risk is crucial for service providers.Data insights can enhance both service delivery and profitability. Sound Bites "Data management shouldn't be a headache, it should be your fuel.""Data quality is the foundation.""There are multiple ways to hit the bottom line."

    13 min
  2. Unlocking Predictive Maintenance: A Guide

    FEB 12

    Unlocking Predictive Maintenance: A Guide

    Summary In this conversation, Erwin De Werd and Stephanie Wiechers discuss the complexities and actionable steps involved in predictive maintenance. They explore how technology has evolved to enable predictive maintenance, the benefits it offers in terms of operational efficiency and cost reduction, and the challenges companies face in managing data quality. Stephanie emphasizes the importance of a clean database and the role of AI in improving data management practices, ultimately guiding companies towards effective predictive maintenance strategies. Takeaways Predictive maintenance allows for smarter scheduling and planning.Technology advancements have made predictive maintenance more feasible.Data quality is crucial for effective predictive maintenance.Companies can reduce downtime by anticipating maintenance needs.A clean database is essential for accurate predictive maintenance.Quality assurance checks help maintain data integrity.AI can automate data cleaning and improve accuracy.Understanding asset lifecycle can optimize maintenance strategies.Predictive maintenance can lead to cost savings in parts procurement.Initial assessments are key to implementing predictive maintenance.Sound Bites "We wish it was that straightforward.""Reduce the amount of downtime.""Save hours on every service call."Chapters 00:00 Introduction to Predictive Maintenance 02:59 The Evolution of Predictive Maintenance 05:56 Benefits of Predictive Maintenance 08:58 Challenges in Data Management 11:50 Technological Solutions for Data Quality 14:49 Getting Started with Predictive Maintenance

    14 min
  3. C-Level findings on data management (3/3)

    FEB 5

    C-Level findings on data management (3/3)

    Keywords: data management, data quality, technical industries, competitive advantage, talent shortages, commoditization, insights, case studies, strategy, digital transformation Summary:In this episode of The Data Edge, Erwin De Werd and Stephanie Wiechers discuss the critical importance of data management and quality in technical industries. They explore insights from CEO interviews, highlighting challenges such as talent shortages and pricing pressures. The conversation emphasizes how leveraging data can provide a competitive advantage and shares case studies demonstrating successful data management strategies. Takeaways Technical industries lose millions due to messy data.Data quality serves as the foundational layer for success.Talent shortages are a significant concern in technical fields.Pricing power is under pressure, risking commoditization.Data management can enhance service offerings.Breaking down silos leads to better insights.Organizations can extract best practices from data.C-level executives increasingly recognize data's value.Collaboration across teams improves operational efficiency.Data can transform into a strategic asset for companies. Sound Bites "messy data costs millions""talent is disappearing""data as a strategic asset" Chapters 00:00Introduction to Data Management Challenges 04:47Real-World Applications of Data Insights

    10 min
  4. Unlocking Data Potential (1/3)

    JAN 28

    Unlocking Data Potential (1/3)

    Summary This episode delves into the intricacies of data management and its pivotal role in driving business success. Experts Stephanie Wiechers and Erwin De Werd from Pearstop discuss the importance of data quality, the value it adds, and practical insights into managing data effectively. The conversation highlights the foundational layers necessary for data management and explores real-world examples of how data can be leveraged to achieve organizational goals. Keywords data management, data quality, business success, Pearstop, data insights Takeaways Data management is crucial for business success.Understanding data quality can drive value.A good data baseline opens up numerous possibilities.Data is the fuel for many business operations.Effective data management requires foundational layers.Data quality ensures accurate and actionable insights.Real-world examples illustrate data's impact.Data management involves both technical and strategic aspects.Pearstop experts share practical insights on data.The series explores data management in depth. Title Options Unlocking the Power of DataMastering Data ManagementData Insights for SuccessThe Art of Data QualityDriving Value with DataData Management EssentialsExploring Data PotentialData Strategies for GrowthThe Future of Data ManagementData-Driven Business Success Sound bites Data management is crucial.Unlocking data's potential.Data is the fuel.Quality data drives value.Foundational layers are key.Real-world data insights.Data management essentials.Strategic data use.Data quality matters.Driving success with data. Chapters 00:00:20 Introduction to Data Management00:00:33 Importance of Data Quality00:01:16 Real-World Data Insights00:01:55 Foundational Layers of Data00:03:10 Data as Business Fuel• • 00:03:56 Series Overview and Future Topics

    18 min
  5. Data management (2/3)

    JAN 28

    Data management (2/3)

    SummaryIn this episode, we explore the critical aspects of data management, enterprise standardization, and AI readiness. The discussion highlights the importance of having a reliable data foundation to leverage AI tools effectively, with insights into the trends and challenges faced by organizations in 2026. Keywordsdata management, enterprise standardization, AI readiness, data quality, Fabric migrations TakeawaysData management is crucial for enterprise success.Standardization enhances data quality and reliability.AI readiness requires a solid data foundation.2026 marks a shift towards reliable data layers.Fabric migrations are becoming more common.Organizations must focus on data quality for AI.AI tools need trustworthy data inputs.Data standardization supports organizational goals.Reliable data layers open new opportunities.AI readiness is a key trend for the future.Title OptionsMastering Data Management for AI SuccessThe Future of Enterprise StandardizationAI Readiness: Building a Solid Data Foundation2026: The Year of Data QualityFabric Migrations: A Growing TrendWhy Data Management MattersStandardization: The Key to Reliable DataAI Tools and the Need for Quality DataUnlocking Opportunities with Reliable DataPreparing for AI: The Importance of Data Sound bites Data management is crucial. Standardization enhances reliability. AI needs a solid foundation. 2026 marks a data shift. Fabric migrations are rising. Focus on data quality. AI tools need trustworthy data. Standardization supports goals. Reliable data opens opportunities. AI readiness is key. Chapter00:01:11 Introduction to Data Management00:02:26 Understanding Data Quality and Standardization00:10:58 The Importance of a Reliable Data Layer00:11:26 AI Readiness and Future Trends

    15 min
  • 5 Episodes

About

Welcome to the Pearstop podcast series on data management, where experts Stephanie Wiechers and Erwin de Werd dive into the world of data quality, standardization, and the real-world value of information in technical industries. From procurement and facility management to hard services and large-scale manufacturing, we explore how 'messy' data can cost organizations millions—and how to fix it. Join us as we break down complex topics like enterprise-level standardization and Microsoft Fabric into concrete, actionable steps. Whether you're a CEO, an asset manager, or a bid specialist, this series provides the insights you need to turn your data into a fuel for smart decision-making and AI readiness. Don't let your data work against you—learn how to make it your greatest competitive advantage.

Information

  • Creator
    Stephanie Wiechers & Erwin de Werd
  • Years Active
    2K
  • Episodes
    5
  • Rating
    Clean
  • Copyright
    © 2026 Stephanie Wiechers & Erwin de Werd