Name: Data Migration – Real Challenges & Solution
Start: 2025-07-11T11:30:00Z
End: 2025-07-11T11:31:00.000Z
Location: BrightTALK
Rating: 5

Welcome to the DAMA channel, the Data Management Association providing professional certification (https://www.dama.org/content/certification) & Data Management Body of Knowledge (https://www.dama.org/content/body-knowledge) to members around the world. Our presenters cover topics across the spectrum of Big Data, keeping current on the growing industry. Make sure you check out some of the benefits of membership (https://www.dama.org/content/about-us).

Data Orchard have been researching and measuring data maturity for over a decade.   Their pioneering assessment and benchmarking tools have been used across public, private and not-for-profit sectors to educate, engage, and motivate organisations to improve with data.  Sian will share what they’ve learned so far about organisational data maturity, provide a comparison of sectors and their progress, and highlight case studies of organisations, networks and government approaches to advancing data maturity. There will be plenty of time for Q&A and signposting to useful resources.

Sian is a social entrepreneur passionate about the power of data for making the world a better place socially, economically and environmentally. She’s Co CEO of Data Orchard an award-winning social enterprise that helps organisations get better with data. Since 2015 she’s led their pioneering work on measuring and benchmarking organisational data maturity. More recently she’s created the unique and highly successful Data for leaders training programme.  Sian’s career roots are in digital access and inclusion, digital strategy and impact measurement. Sian has an MSc in Data Science and Analytics and a BSC in ‘Mathematics and Science & Technology Policy’.

Data Maturity, are we there yet? A 5 year comparison of progress across public, private and not-for-profit sectors

In this webinar Daragh will discuss the increasingly irrelevant distinctions between structured and unstructured data and what that means in practice for organisations. He will take delegates through a potted (and irreverent) history tour of how we came to be where we are, will walk through a case study example of what this means in practice, and what it means when we consider it through the DMBOK lens.

Daragh O Brien is founder and managing director of Castlebridge, one of Ireland’s leading consultancies working in data strategy, data governance, and data protection. Since founding Castlebridge in 2009, Daragh and his team have worked with organisations of all sizes across a variety of sectors, including start-ups, SMEs, Non-Profits, Government bodies, EU institutions and other International Organisations. Amongst other publications, Daragh is a co-author of Data Ethics (2nd Edition), published by Kogan Page, lectures in UCD School of Law and the Law Society of Ireland on Data Governance and Data Protection. He is also a member of the Innovation Value Institute in Maynooth University. He is a Fellow of the Irish Computer Society and a Fellow of Information Privacy from the IAPP. Daragh helped develop and deliver the ICS’s pioneering Certificate in Data Protection Practice over a decade ago.

In addition to the day job, volunteer work in various professional organisations, and teaching, Daragh is also doing a Doctorate in Data Governance in the University of Limerick.

Crossing the Streams: The increasingly irrelevant distinction between structured and unstructured data

In a rapidly evolving business landscape, organisations must continuously adapt and refine their strategies if they are going to remain competitive, or even survive. Data is a fundamental enabler of this organisational agility, but only when adaptability has been built directly into the data strategy.

Within this interactive session, drawing on insight from their bestselling book Data Means Business, Jason Foster and Barry Green discuss how adaptability can be baked into the heart of your data strategy to enable organisational responsiveness.

A platform for collaboration and discussion, Jason and Barry will demonstrate why inherently adaptable, data-guided organisations are best equipped to thrive in an ever-changing complex landscape.



Key outcomes:

Learn how to:

Craft a data strategy centered on agility and responsiveness using the Level Up Framework

Build an adaptable data platform

Adapt your strategy to fast-moving internal and external factors

Use your data strategy to enable wider business agility

Why adaptability is mission-critical in a modern data strategy - NOTE Date Change

Driving growth for customers with trusted, rich, complete, curated data, Matt has over 20 years of experience in enterprise software with the world’s leading data management companies and is a qualified marketer within pragmatic product marketing. He is a highly experienced professional in customer information management, enterprise data quality, multidomain master data management and data governance & compliance.

Paari is a seasoned professional with over 12 years of experience in the global retail and consumer packaged goods (CPG) sectors. She specializes in sustainability in supply chain and business operation academically and is experienced in master data management, data governance, and compliance. Throughout her career, Paari has demonstrated a strong commitment to driving customer success by fostering collaboration within business operations. She brings in the understanding of data needs for effective policy implementation and her ability to address data-related challenges for sustainability-focused business growth

Matthew: Driving growth for customers with trusted, rich, complete, curated data, Matt has over 20 years of experience in enterprise software with the world’s leading data management companies and is a qualified marketer within pragmatic product marketing. He is a highly experienced professional in customer information management, enterprise data quality, multidomain master data management and data governance & compliance.

The Value of Master Data Management in Sustainability

With AI continuing to dominate business and leader discussions, those leaders that fail to create a robust data strategy and adopt good data governance risk not achieving lasting ROI and competitive agility.

Increasingly, organisations need a strategic and disciplined approach to acquiring, growing, refining, safeguarding and deploying data to improve the maturity of their enterprise data lifecycle as a perquisite for success, especially with AI.

The more successful leaders around the world are adopting a proactive approach to data management, emphasizing awareness and understanding across the organization. This shift frames data and analytics as a product that drives growth and innovation to manage risk and reduce costs (Gartner, 2023).


Join this 45-minute webinar with speaker Ben Meade, Director of Ringfence and expert in the field of data strategy, governance and management, where we will delve into the key factors that should be on every executive's radar when deciding which data creates the most business value, and how to effectively safeguard and manage this increasingly invaluable asset.

Webinar takeaways

    * A clear understanding of how good data strategy and governance underpins your fundamental value generation activities and can directly improve your performance & outcomes.

    * Insights into what you need to ensure your ‘Information Fitness®’ for the modern, digital world - including AI adoption.

    * Practical tips for ensuring good data governance that link in and align with your wider vision, strategy and risk appetite.

Access to expert knowledge for personalized advice during the Q&A session.

Information Fitness

Data literacy is now a fundamental driver of cultural transformation, decision-making, operational efficiency, and innovation. Without a data-literate workforce, organisations struggle to fully leverage AI, analytics, and emerging technologies.

In this session, we’ll explore:

    The key benefits of Data Literacy – From fostering a confident, data-driven culture to reducing reliance on data teams and accelerating insights. We’ll hear real-world examples from NFU Mutual.

    Overcoming common barriers – Addressing fear of data, leadership buy-in, bridging technical and non-technical gaps, and managing time and resource constraints with scalable, persona-based learning strategies.

    The power of strategic collaboration – Why a dedicated Data Literacy Manager and external partnerships can drive sustained impact, with insights from Farran on stakeholder management and business case development.

    How to get started – Practical steps to assess your current data culture, gain executive buy-in, identify internal champions, and create urgency for investment in data literacy.

For those already on the journey, we’ll discuss how to measure and articulate ROI, ensuring that data literacy is seen as a revenue driver, not an expense. Let’s move beyond tool investments and empower the silent majority because being data-driven is about people, not just technology.

The Business Impact of a Data-Literate Workforce

Data Cymru is a not-for-profit organisation wholly owned by local government in Wales. We offer a range of specialist data, statistical and research services designed to help local councils, and the wider public sector, find and use data effectively.

In this webinar, as well as learning more about the work of Data Cymru, we will delve into the journey of developing and implementing the National Resident Survey for Wales. This project, the first of its kind in Wales, will provide invaluable data to inform public policy and enhance community well-being.

Whether you are involved in designing surveys, analysing data, or implementing public policies, this session will provide valuable insights and practical guidance.

So, join us to explore the lessons learned, celebrate the successes, and discuss the future of resident surveys in shaping a better Wales.

Insights and Impact: Lessons from the National Resident Survey for Wales

Shona has been an data professional for over 20 years, delighting internal & external customers alike to maximise the value of their data.

Starting at Derwent Information (now Clarivate), she’s held various data management & governance leadership positions through her career, from content curation through data governance and data-as-a-service product inception with global data & analytics providers incl. Clarivate, Thomson Reuters and PatSnap. Now the Senior Product Manager for Elsevier’s Data Catalog (on Collibra), she brings her passion for structure, cohesion & transparency to all parts of the data lifecycle, enabling collaboration, innovation & growth.

In today’s data-driven landscape, organizations are increasingly recognizing the importance of effective data management and governance. This case study will cover the role Catalog plays as the ‘front door’ to the data ecosystem, and the journey to implementation. Showcasing strategies employed, expected (& surprising!) challenges faced, and what we’re still learning, the goal is to share insights that can help guide your data catalog initiatives to foster a data-engaged culture of accessibility & usability within your organizations.

Shona Anderson - Data Catalog - a Case Study

In this webinar, Jesper will explore the powerful synergy between master data management (MDM) and AI. As AI technology continues to evolve, the need for well-governed data to drive enterprise-wide AI initiatives has never been more critical. At the same time, achieving effective data governance at the scale required for business success now hinges on the integration of AI into both solutions and processes. By the end of this session, you’ll be equipped with up-to date insights into how MDM and AI intersect. We’ll demonstrate how AI can optimize MDM processes to deliver outstanding business outcomes and show the vital role high-quality master data plays in driving AI success—along with the potential pitfalls of poor data quality.

AI powering MDM, and MDM powering AI

Data quality has always been important–for well-run operations, for sound decisions, and trustable analytics.  AI, including LLMs and predictive AI, depend on high-quality data even more!  Yet all of us have an uneasy feeling, that we can’t quite articulate, that our data is simply not good enough.

The first step, of course, is to find out.  The February FAMathon aims to use the power and the courage of the DAMA UK community to do just that.  On Valentine’s Day (how appropriate is that!), Tom Redman, “the Data Doc,” will explain the Friday Afternoon Measurement (FAM) as a simple, powerful way of making that first measurement.  We will work an example together, then as a group, agree to make such measurements in our own organizations.

We will be planning a follow up session, to come together and review what we've learned, explore the significance, and talk through next steps.

Dr. Thomas C. Redman, "the Data Doc," may be the world's most passionate advocate for data quality. As an author, a regular contributor to Harvard Business Review and MIT Sloan Management Review, and as a consultant, he combines a visionary's view of the data landscape with deep expertise in data quality, data science and analytics. Tom's latest book, People and Data, urges companies to understand data as a team sport and get everyone involved. His Friday Afternoon Method is an ideal way to begin!

Building a movement for Data Quality

Rob has over 20 years experience working across Retail, Financial Services, Pharmaceutical, Building Society and Insurance sectors.  Rob has successfully built and led Data Engineering, Finance, Infrastructure, BI & Analytics, Data Governance & Data Management teams and introducing new ways of working to deliver value faster to customers and clients.

Rob’s passion is Data Products, the benefits it gives at driving value quickly, breaking down silo ways of working and driving benefits to colleagues and customers.

In this webinar, Rob will lean on his experience around some of the challenges he faced when building up Data Product teams, what you need to succeed, what to look out for and how to overcome them in order to achieve your ambitions.

Unlock your AI Ambitions through Data Products

On behalf of IRMUK, please join Sue Geuens, as she talks about the “Telling the Story of Data” .  Sue is a 28 year vet in Data Management, is on the DAMA UK committee and is the Director Data Governance & Product Data at Elsevier.

This is one of her pet topics and something that we are all seeing as more and more important and impactful when we get it right.

Why do we need to tell the story of data - doesn’t data talk for itself? What makes a good story? What if I am a bad storyteller? How will I know if my audience is listening? And the biggest one of all - “SO WHAT”!

Telling the Story of Data

AI Ethics has sprung up in discourse like a rabid whackamole. But what does it mean? And how do we align ethics with responsible AI adoption? What do we say to the cool kids who want to play with the shiny toys? What do we say to those lawyers who have just filed suit against us for copyright infringement and/or defamation? Join Daragh for a whistlestop tour through the bullshit bingo of AI Ethics in "AI Ethics and the Multiverse of Madness".

 

Daragh O Brien is founder and managing director of Castlebridge, one of Ireland’s leading consultancies working in data strategy, data governance, and data protection. Since founding Castlebridge in 2009, Daragh and his team have worked with organisations of all sizes across a variety of sectors, including start-ups, SMEs, Non-Profits, Government bodies, EU institutions and other International Organisations. Daragh is a co-author of Ethical Data and Information Management: Concepts, Tools, and Methods, published by Kogan Page, and Data Ethics (2nd Edition), published by Kogan Page in June 2023. He lectures in UCD Sutherland School of Law and the Law Society of Ireland on Data Governance and Data Protection. He is also a member of the Innovation Value Institute in NUI Maynooth, and is a founding member of the Strategic Advisory Board to the School of Business in Maynooth University. He is a Fellow of the Irish Computer Society and a Fellow of Information Privacy from the IAPP.

AI Ethics and the Multiverse of Madness

This session focuses on the impact and opportunity of generative AI in the world of data management.

 

Themes that I will be focusing on:
 - Knowledge enabled AI through the foundation of knowledge graphs
-  How metadata management can fuel compliance, discovery and the usage of data through natural language inputs
-  Practical examples of how generative AI can be used achieve the above

Key takeaways:
- how to get started and get teams and execs engaged with understanding and adopting generative AI
- how AI is changing data management
- the role of knowledge graphs in applying enterprise context

The intersection of connected knowledge and AI

In today's regulatory landscape, data risk is critical as regulatory expectations intensify and penalties increase. Records management, a key component of data risk, involves systematically controlling an organisation's records from creation to disposal, ensuring efficient organisation, storage, retrieval, and preservation process.

Without robust data retention policies and governance, organisations face increased audit and litigation risks, higher IT costs, and challenges in meeting evolving standards. Mitigating these risks requires a systematic approach to data retention, adhering to industry best practices.

The proposed presentation will cover:

Industry Insights: Observations and impacts EY has noticed within the industry regarding data risk and records management

Regulatory Perspective: An overview of regulatory expectations and requirements for records management

Governance Requirements: Key elements of governance necessary for effective records management

Organisational Impact: Consequences of ineffective records management on an organization

Drafting Records Management Policies: Guidelines for creating comprehensive and effective records management policies

Banking Sector Focus: How records management should be implemented across the three lines of defence within a banking institution

This comprehensive approach highlights the pressing need for improved records management practices to address increasing data risks. As well as providing the industry best practices which EY has observed.

Reduce Data Risk through Effective Records Management

In today's digital world, data has become the lifeblood of businesses, governments, and societies at large. However, the increasing reliance on data brings with it a myriad of ethical considerations and security challenges. From concerns about privacy and consent to the risks of data breaches and cyber-attacks, organizations must navigate a complex landscape to
ensure the responsible use and protection of data. This webinar aims to shed light on the intersection of data ethics and data security, providing insights and strategies for individuals and organizations to uphold ethical principles while safeguarding sensitive information.
Objectives:

    Explore the fundamental concepts of data ethics and their relevance in contemporary society.
    Examine the ethical dilemmas surrounding data collection, usage, and sharing.
    Understand the importance of data security in maintaining trust and integrity.
    Identify common threats to data security and their potential impact on individuals and organizations.
    Discuss best practices and frameworks for integrating ethical considerations into data management processes.
    Provide practical tips for enhancing data security measures and mitigating risks.
    Foster discussions and knowledge sharing among participants to promote a culture of responsible data stewardship.

Exploring the Intersection of Data Ethics and Data Security

Join us for an exclusive webinar featuring Raj Jethwa, a renowned business growth and transformation consultant and subject matter expert in Data, Analytics, and AI.



With over 30 years of invaluable experience in the software industry, Raj has navigated pivotal roles in software development, technical pre-sales, and revenue generation across globally renowned software companies.



Today, Raj leverages his extensive expertise to offer top-tier consulting services tailored to the needs of senior business leaders. Through his profound understanding of business use cases and adeptness in modern technology landscapes, Raj serves as a trusted advisor, helping businesses harness the power of their data responsibly and effectively.



Join us as Raj shares his insights and knowledge, guiding organisations towards sustainable growth and innovation in today's data-driven world. Don't miss this opportunity to discover how data, analytics, and AI can drive business transformation under Raj's expert guidance

Unlocking Business Potential: Moving from Digital to Business Transformation

Data & Database migration is a major challenge that industry faces across diversified domains e.g. Telecom, Fin-Tech & Government institutions. In Webinar I will talk about Major migration challenges in migrating Production.  Data systems and share my real-life story how I handled different types of migrations (Homogenous, Heterogenous, on-Premises, Cloud migrations).

Key outcomes

    Understand key aspects of this sensitive tasks where business stakes are at its very peak and it is always a pressure-oriented assignments.

    Prepare proactively for any migrations in their environment and have better control over planning, execution, testing and fallback strategies.

Biography: Transformational Data Leader & Cloud Data Architect with over two decades of experience driving enterprise-wide data modernization, compliance, and performance engineering initiatives across global markets. A pioneer in delivering cloud-native data ecosystems.

Data Migration – Real Challenges & Solution

DAMA

Increasing expectations for good governance, effective risk management and complex demands for corporate compliance are presenting a growing challenge for organizations of all sizes. Join industry thought leaders as they provide you with practical advice on how to implement successful risk and compliance management strategies across your organization. Browse risk management resources in the form of interactive webinars and videos and ask questions of expert GRC professionals.

IT Governance, Risk and Compliance

Practicing business intelligence allows your company to transform raw data into sets of insights for targeted business growth. The business intelligence and analytics community on BrightTALK is made up of thousands of data scientists, database administrators, business analysts and other data professionals. Find relevant webinars and videos on business analytics, business intelligence, data analysis and more presented by recognized thought leaders. Join the conversation by participating in live webinars and round table discussions.

Business Intelligence and Analytics

Welcome to the big data and data management community on BrightTALK. Join thousands of data quality engineers, data scientists, database administrators and other professionals to find more information about the hottest topics affecting your data. Subscribe now to learn about efficiently storing, optimizing a complex infrastructure, developing governing policies, ensuring data quality and analyzing data to make better informed decisions. Join the conversation by watching live and on-demand webinars and take the opportunity to interact with top experts and thought leaders in the field.

Big Data and Data Management

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Data Migration – Real Challenges & Solution

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