Insights
Expert Session: Can You Trust Your Customer Data To Drive Growth, AI and Better Customer Experiences?
Customer data often sits across CRM, ERP, e-commerce, service platforms and other systems. E.g. for the insurance market, this data may live in policy administration, claims, billing, broker & distribution/broker systems with different definitions and values for the same customer.
This scattered data becomes a challenge when you want to personalize customer experiences, improve internal decision-making and reporting, meet compliance requirements or use AI effectively.
If you’re asking yourself any of these questions, you won’t want to miss this Expert Session:
- Can we create a single Customer 360 across CRM, ERP and operational systems?
- How do we improve customer data without replacing our existing CRM/ERP/core systems?
- Is our customer data actually ready for AI and personalization?
- How do we demonstrate that customer data is trusted, governed and compliant?
- How much time do our teams spend manually cleaning, exporting, or reconciling customer data?
- Which business decisions today rely on our customer data, and which ones should but don’t?
- Which customer segments consistently outperform others, and how do we know?
Facing these customer data challenges in your organization? Join Squadra and Stibo Systems during this Expert Session on Thursday, October 29 - 2026. You’ll discover how Customer MDM helps turn customer data into a trusted business asset.
| About this webinar: | |
|---|---|
| Date & time: | October 29, 2026 | 11:30 am CEST |
| Duration: | 30 minutes |
| Language: | English |
Register today:
What To Expect?
- Why Customer MDM matters – We’ll explain why trusted customer data has become a critical foundation for growth, compliance, intelligence and AI.
- What makes customer data work – We’ll explore the key business challenges and success factors behind building a reliable, scalable customer data foundation.
- Real-world examples – We’ll share practical use cases that show how better customer data can create tangible business value.
Who Should Attend?
This session is relevant for CDOs, CIOs, Chief Customer Officers, CRM leaders, Data & MDM leaders, architects, and business leaders responsible for customer experience, data quality or digital transformation, specifically in insurance, financial services, energy and telco industries.
- C-level leaders
- Data, IT and MDM experts
- Data governance and architecture professionals
- CRM and customer data leaders
- Digital transformation and application leaders
Speakers:
Jos is co-founder of Squadra and partner for PIM, MDM, Data Organization and Data Governance services, with over 15 years of experience in these data topics that are foundational for every Digital Transformation.
Besides his role as co-founder/partner of Squadra, he still enjoys his role as management consultant, acting on different management levels (up to board level) for large as well as mid-size organisations.
During his career he gained a very broad experience in senior management and C-level business and IT roles across multiple industries.
Jos is co-founder of Squadra and partner for PIM, MDM, Data Organization and Data Governance services, with over 15 years of experience in these data topics that are foundational for every Digital Transformation.
Besides his role as co-founder/partner of Squadra, he still enjoys his role as management consultant, acting on different management levels (up to board level) for large as well as mid-size organisations.
During his career he gained a very broad experience in senior management and C-level business and IT roles across multiple industries.
Mark Cartigny is a professional expert in Data Management, Master Data Management (MDM) and Data Governance, known for guiding organizations through complex data‑driven transformations.
He helps companies strengthen their data foundations, designs and implement governance frameworks, and unlock measurable business value through trusted customer and product data.
Mark is recognized for his ability to bridge business strategy and data architecture, enabling organizations to improve operational efficiency, regulatory compliance, and digital readiness. He has supported multiple enterprise‑scale MDM initiatives across industries as project lead as well as consultant.
Mark Cartigny is a professional expert in Data Management, Master Data Management (MDM) and Data Governance, known for guiding organizations through complex data‑driven transformations.
He helps companies strengthen their data foundations, designs and implement governance frameworks, and unlock measurable business value through trusted customer and product data.
Mark is recognized for his ability to bridge business strategy and data architecture, enabling organizations to improve operational efficiency, regulatory compliance, and digital readiness. He has supported multiple enterprise‑scale MDM initiatives across industries as project lead as well as consultant.
Matthew Cawsey leads MDM sales strategy across EMEA at Stibo Systems, where he helps large enterprises unlock growth, efficiency, and compliance through trusted, curated customer master data.
With over 25 years in enterprise software, Matthew brings deep expertise in customer, supplier, and location master data management, data quality, governance, and integration. He champions the role of connected trustworthy data as the foundation for AI readiness.
Matthew has held senior roles at leading data management companies and is a recognized voice in the evolution of data-driven transformation across industries.
Matthew Cawsey leads MDM sales strategy across EMEA at Stibo Systems, where he helps large enterprises unlock growth, efficiency, and compliance through trusted, curated customer master data.
With over 25 years in enterprise software, Matthew brings deep expertise in customer, supplier, and location master data management, data quality, governance, and integration. He champions the role of connected trustworthy data as the foundation for AI readiness.
Matthew has held senior roles at leading data management companies and is a recognized voice in the evolution of data-driven transformation across industries.
