Name: Common Data Environments and Digital Twins: what are they all about?
Start: 2020-10-30T13:15:00Z
End: 2020-10-30T13:15:44.000Z
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).

Connecting Business & Data Strategies: Enabling Business Success by Making Better Decisions - Liz Henderson

Unlock the essentials of building a powerful data strategy with us. This session showcases real success stories, practical implementation tips, and deep dives into the critical components of achieving data-driven excellence. If you're eager to fuel business growth, make informed decisions backed by data, and gain a competitive advantage, this session is a must-attend. Don't miss this opportunity to acquire the knowledge, tools, and inspiration necessary to excel in data strategy and propel your organisation toward data-driven triumph!

• Real-world Insights: Gain invaluable insights from real success stories shared during the session, providing tangible examples of effective data strategy implementation in action.
• Practical Implementation Tips: Learn actionable tips and strategies for implementing a successful data strategy within your organisation, equipping you with the tools to drive business growth and make informed decisions.
• Competitive Edge: Discover how mastering the art of data strategy can give your organisation a competitive edge, enabling you to stay ahead of the curve and propel towards data-driven success in today's dynamic business landscape.


Liz Henderson, a seasoned Non-Executive Director and global digital leader, drives value for Fortune 500 & FTSE 100 firms. Known for her innovative ideas and long-term solutions, she commands respect for her digital and data expertise across diverse industries and continents. Liz empowers individuals and organizations to unlock their data's full potential, fostering improved decision-making and competitiveness. Beyond her corporate roles, she is a prolific speaker, podcaster, and blogger, advocating for STEM education and enjoying gardening and fitness.

Connecting Business & Data Strategies

This session offers an insightful exploration of the ontological foundations of data governance. The speaker will provide an overview of the nature of 'things' and their properties, the alignment of the lawful states of an information system or product to the lawful states of the physical world, and the importance and increased relevance of these concepts in Data Governance, in this new era of cloud data platforms and advanced analytics. Attendees will walk away with a further understanding of ontology and semantics in data governance, as well as actionable strategies for their application in metadata management, master and reference data management, and data quality management.

Hailing from Hartford, CT, Anthony “Tony” Mazzarella leads Enterprise Data Enablement, Quality, and Governance at U.S.-based financial services firm Voya Financial, where he is driving organizational change and delivering capabilities that empower the workforce to make better decisions about data, focusing on quality and business value. Tony is an industry thought leader and academic with nearly 20 years of experience as a technologist and data management practitioner. He serves as Past-President of DAMA New England chapter and is a former leader on the DAMA International Board of Directors.

Grounding Data Governance in Ontological Foundations

The webinar looks at the emergence of data marketplace and their value in business. It looks at what a data marketplace is, why your company might need one, and how you can use it to govern the publishing and sharing of ready-made, high-quality, compliant data and analytical products for others to consume and use and how it can help shorten time to value.

Webinar Overview:
The webinar will cover:
• Becoming data driven – executive expectations
•             What’s required to become data driven?
o The need for a high-quality data foundation to support timely decisions
o Data producers and data consumers 
o The need for reusable data and analytical products 
o Building data products to incrementally build a data foundation 
o The need for a data marketplace to publish and govern data sharing
• What is a data marketplace?
• Challenges in establishing a data marketplace
• What processes are needed to operate a data marketplace? 
• Governing the sharing of data using a data marketplace and data contracts 
• Beyond just data – publishing analytical products in a marketplace
• Progressively shortening time to value using a marketplace

Data Marketplaces and How They Help Shorten Time to Value

Enabling FAIR Data (Findable, Accessible, Interoperable, Re-usable) is critical for AstraZeneca to unlock value from our existing data and to ease the handling of future data. We address 'Findability' through effective indexing and cataloguing, 'Accessibility' via a blend of automated and manual processes and enhance 'Reusability' by integrating processes into approved analytical environments. Yet the most significant challenge is 'Interoperability', which requires us to determine if datasets of the same type can be merged and how to link different types to answer complex questions. This talk will show how AstraZeneca's Research & Development tackle these challenges to optimise data re-use.

FAIR Data Centric Information Architecture - New Date!

The Role & effective practices of Data Management in the Data Engineering Lifecycle 
Key areas under discussion in this “oh so” important topic:

What is data engineering?

    Definition and evolution of the data engineering
    Where does it sit inside the organisation

What is data engineering lifecycle?

    Generation of data
    Extraction / ingestion of data
    Transformation
    Consumption

Importance and role of Data Management in Data Engineering Lifecycle: How DAMA DMBOK’s Data Management principles tie together with data engineering, such as but not limited to:

    Data Governance
    Data Quality
    Data Modelling
    Master Data Management
    Metadata Management
    Lineage

Hrayr is the CDO at FSP. FSP are a multiaward-winning digital transformation consultancy, with an enviable reputation for industry leading client experience and long term, trusted relationships.
Hrayr is a hands-on data practitioner with a wealth of experience in data strategy, data architecture and data engineering. Hrayr’s pragmatic approach allows him to challenge technical details, whilst also understanding the broad business context and the value data can bring to organisations

The Role & effective practices of DM in the Data Engineering Lifecycle

Data governance is hard, and it’s all because of human beings tend to be emotional and sometimes irrational. But it shouldn’t be an excuse, it should be an opportunity to leverage the sensitivity of human beings to drive data governance through cross-functional collaboration. Tiankai experienced some things about the human aspect of Data Governance and distilled it down to a few learnings that can work as guiding principles for a human-centric approach to effective data governance.

Data governance, but in a human way

FAIR Data Centric Information Architecture

Data Literacy 101 Brief
During our 'Data Literacy 101' webinar we'll teach attendees how to: build the foundations of a high quality data literacy programme, whether internally or supported by external partners; engage the wider business in your data literacy journey; and build a business case to unlock Executive support and budget.
• 'Data Literacy' Defined - A View from 100+ Programmes

Greg Freeman 
As CEO of Data Literacy Academy, Greg is one of the top global voices in data literacy and culture. With a senior leadership career transcending business and data teams, he's seen the data literacy challenge from both sides of the fence, which gives him a unique perspective and deeper understanding of how to unlock success in these areas.

Data Literacy Academy
Data Literacy Academy partners with enterprise organisations to deliver proven, meaningful culture change and upskilling programmes across the wider employee population. Working with the likes of Bentley Motors, Dunelm and Coventry Building Society, our programmes provide a structured, scalable journey of change management, internal communications and education, which when tailored to your business, drive improved data-driven decision culture, transformation adoption and ROI from data products.

• The Data Literacy Problem
• Understanding Your Audience
• Winning Hearts & Minds
• Building the Business Case
• Q & A

Data Literacy 101

Proving value eludes many data professionals.

Calculating ROI or cost benefit analysis is just the start. Data's real value emerges when we partner with stakeholders to recognise, articulate, and realise its multidimensional benefits.

In this session, public sector data leader Bandhu Das will share insights for developing high-impact data business cases encompassing holistic benefits to win investments and spark engagement for change. Through examples, he’ll share his "Value Matrix" framework that builds on the Treasury's five case model by incorporating change and engagement as essential enablers.

This session welcomes both public and private sector data professionals. The attendees will have the opportunity to share their experiences and challenges when pitching data programmes. The discussion will equip participants with practical frameworks to translate conceptual data solutions into funded initiatives that drive demonstrable value.

Bandhu Das brings 15+ years of diverse experience spanning finance, policy, and data to enable public sector organisations to adopt data and analytics at scale for public good.

As Defra's Head of Data Strategy and Engagement, Bandhu is currently leading the development of an enterprise data strategy and investment roadmap to unlock new levels of value-creation from data. He also oversees their data foundation programme - strengthening Defra's data assets and operating model to enable ethical and sustainable innovations.

Previously at HM Treasury, Bandhu led national-level data analytics projects informing key government reform decisions and publications. He also advised ministers to approve record data investments for modern cross-government data ecosystems and collaborations models.

As a DAMA UK committee member since 2023, Bandhu is dedicated to nurturing a thriving community of data professionals to elevate data as a strategic asset.

Unlocking the Value of Data - Lessons from Public Sector Data Business Cases

In today's rapidly evolving data landscape, traditional approaches to Data Governance no longer suffice. Most new technologies don't make much difference to how you would implement Data Governance in an organisation, however, Data Mesh with its combination of technology and organisational structure has changed that. In this session, Nicola Askham, The Data Governance Coach, will look the concepts of Data Mesh and Data Products and then their intersection with Data Governance, shedding some light on how you need to change your thinking to implement Data Governance successfully in a data mesh environment.

Join this session to get:

    A basic overview of what data mesh is
    An understanding of what data products are
    A case study of implementing Data Governance for Data Mesh

Data Mesh, Data Governance and the concept of data products

Master Data Management is another buzz phrase that has been around for quite a number of years. It waxes and wanes in popularity and tends to be at the impossible end of implementation.

We all know that having our data mastered provides real business value – otherwise we would not keep hearing about “One View of the Customer” or “360 View of the Customer”. BUT typically, what happens is that someone decides MDM is needed, finds a tool and kickstarts an implementation. The very important questions may very well not have been addressed in the “ooooh shiny” process of acquiring this new tool. And if these are not asked, then the chances of success drop significantly, and you may very well end up with a less than shiny white elephant.

So, let’s get pragmatic about MDM.

    * Why does it matter?
    * What are the use cases (YEP - those very important reasons for MDM) for mastering data?
    * What kind of MDM do we want?
    * Actually - do we need a tool, or can we look at our current data landscape and do what is needed without said tool?
    * What is needed to make it happen?
    * Is there an important executive here who can not only provide the budget, but is likely to be our sponsor and cheerleader?
    * Today outcome should be: Do you want to build YOUR case for MDM (or not)!

MDM - The Case for Success

Effective Data Governance principles, policies and operating models form critical foundations for an organisation’s capability to manage, leverage and improve its data assets. The Data Governance Policies enable the organisation to leverage data as an asset, creating a strong data foundation, by implementing a shared set of roles, processes, responsibilities and vocabulary around the purpose and value of data. A Data Governance framework establishes roles and responsibilities for the participants in the organisation. These participants include senior stakeholders, Data Governance bodies (Data Owners Council, Data Stewards Forum and working groups where required), Data Owners, Data Stewards and Data Consumers. This session will walk you through an example of a Data Governance Framework. 

Garry is currently the Head of Data Governance at Vanquis Banking Group and is accountable for the design, development, and implementation of the Group’s Data Governance Framework, specifically enabling Data Owners and Data Stewards to understand their data more, whilst the Group embarks on a significant Data Transformation programme. Garry has been working in Data Governance for 17 years, both in Consultancy for EY and PWC, and in a number of financial institutions such as Barclays and Visa. Through that he has had a number of adventures and could write a book on the bad mistakes made and lessons learned.

All Things Data Governance

Anusha Adige … Will describe her journey through this programme… root cause and remediation

BCBS239 Kickstarted Data Quality at a UK Bank

Synopsis: As the proliferation and use of data continues to grow so to does the potential value of data to an organisation. Yet many organisations are still to realise tangible and measurable value from their data as evidenced by many analyst reports. Most organisations have invested in a centralised data strategy and data team to help transform themselves into a data driven orgsanisation, yet the benefit realised does not offset the investment in many cases. As the race to capitalise on data potential rages on, organisations look to next generation data architectures and principles to finally realise the true value from their data across the organisation. Data Mesh promises to help organisations revolutionise their data strategies but is this hype or reality?

During this session, we will discuss:-

    Challenges of current generation data platforms
    What is a Data Mesh (and what it’s not)?
    Principles and potential of Data Mesh
    The role of Data Products
    Is Data Mesh right for you?

Q&A

Data Mesh - data revolution or hype?

Nigel Turner (DAMA UK Committee) and Sarah Higham (Pets at Home) discuss a topic that is near and dear to all of us. Please join them as they chat about and get to grips with the importance of data governance when implementing data mesh/data fabric and AI across your data

Data Governance is NOT boring V2

Freedom of Information requests are becoming commonplace in today’s world but what about the data people who ultimately have to action them and provide the answers?
This webinar will explain who the Campaign for Freedom of Information are, outline the type of question that may be presented, and consider the effecting on the receiving organisation staff tasked to respond.
We will look at what options the data person tasked with producing the answers may have and why properly organised and controlled data is vital.
Lee Edwards is a retired Data Architect who has served on the DAMA UK and International boards. She now volunteers as a board member for the Campaign for Freedom of information.

Why Data Management is vital for Freedom of Information

Trade unions are a centuries old institution, coming to prominence during the FIRST industrial revolution to protect workers from the hazards of new types of work. You might not imagine us as data-driven innovators, but a 2022 Unions21 report: “Using data to build strong unions” highlights that data capabilities are as important to unions as they are to every other organisation in the Digital Age.
 
Becky Wright, a fearless advocate for strategic transformation in trade unions, presents Unions21’s ongoing research on trade union data innovation: what we’ve learned so far; what we still have to learn; and what we might even be able to teach the wider data professional community.
Speaker: Becky Wright, Executive Director for Unions21   
Host: Jenny Andrew, DAMA UK committee, and Head of Data for the Chartered Society of Physiotherapy

The Union Way 2.0 – driven by data

Data products are integral to modern data and machine learning and are critical for improving collaboration between data producers and end-users, enhancing productivity, and delivering an exceptional customer experience. By adopting a product mindset to data , organizations can meet customer expectations, break down silos between different teams, and deliver data products in various forms, such as dashboards, reports, and predictive models.

In this session, we will cover essential aspects of data products, such as what constitutes a data product, the anatomy of data products, the lifecycle of data products and how we should go about building the Minimum Viable Data Products with Talend followed by Q&A

During this session we will discuss on
• What is a Data Product
• Anatomy of a Data Product - the non negotiables: Repeatable & Consistent Experience, Meets the Expected Quality, Packaging & Experience, Reduced friction to consumption
• Lifecycle of Data Products & Walkthrough of some example Data products
• Data Product Infrastructure
• Building your MVP Data Products with Talend
• Q&A

Aswin’s is an expert in data management and has a decade of experience working with customers & Partners worldwide during his tenure at Informatica, SAS & Talend.
At Talend, Aswin  heads the GSI Solution Architect function and leading efforts to build solutions with partners. Aswin is a respected thought leader in the industry. As a testament to his leadership, Aswin founded and runs the Data Heroes Community, where he collaborates with industry leaders to provide thought leadership content to a global audience.
 As a contributing editor with Data Engineering Weekly, Aswin continues to share his insights and knowledge on data management, data engineering, and related topics, helping readers stay up-to-date with the latest trends and best practices.

Data Products by Aswin James Christy Nayagam

David will bring his experience as both client and contractor, working in three industries, about what these things are, what they aren’t, what opportunities they provide, and what perhaps they could be. 
 
David is currently Head of IT/IM for the Sellafield Project-Programme Partnership (PPP), working for Kellogg Brown and Root. David started his career as a structural engineer but moved into project information management about 25 years ago on his way to project management, but has somehow stayed in the “Digital” domain ever since then. He has worked in oil and gas, rail and now nuclear. David is motivated by using the opportunities of “Digital” to drive up value and improve people’s lives.

Common Data Environments and Digital Twins: what are they all about?

data

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IT Governance, Risk and Compliance

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Big Data and Data Management

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Common Data Environments and Digital Twins: what are they all about?

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