DMBoK Discipline: Master & Reference Data Management
This is the second in a series of webinars describing the Information Management disciplines as defined within the DAMA DMBoK.
Webinar #2 looks at the Information Management discipline “Master & Reference Data Management”.
Topics addressed include:
•What Master Data and Master Data Management
•The difference between Master and Reference Data & why it matters.
•Different types of MDM Architectures ranging from a full central hub, through hybrid to virtualised
•Why identifying the correct architecture for your types of Master Data is important.
•A MDM reference architecture, the typical components in the reference architecture and how to identify & select the right tooling for your environment and MD business needs.
•Single domain and Multi domain MDM solutions, the advantages & disadvantages and how to determine what's appropriate for you.
•Issues encountered when building the case for MDM.
RecordedMar 30 201546 mins
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Internet of Things (IoT) involves the interconnection of multiple devices able to capture and share data autonomously. The decrease in technology cost, availability of internet and rise in the need for sustainable ways for independent living of an aging population has given opportunity to home monitoring of individuals through smart home sensors. Information recording and transmission from these sensors, carry legal, ethical and intrusive factors but also permit a path to independent living capabilities. We will be presenting our R&D work undertaken to integrate sensors to create a smart home experience, including communication between the sensors and a bespoke home assistant for increasing interaction between the home user and the technology and access to friends and loved ones. We will discuss what the data tells us, what capabilities the future holds and how scalability means migrating from manual to automatic (machine / deep learning) pattern recognition. In the talk we will also be introducing the Cardiff University’s newly established Data Science Academy and identify opportunities for collaboration with industry partners.
Data quality remains a daunting challenge as poor data quality is sadly still the norm in many companies and organisations. This webinar explores why data quality is so hard to get right and outlines an effective approach to identifying, prioritising and tackling data quality problems. The approach also applies some of the artefacts of systems thinking to help demonstrate the multi-dimensionality of data quality and the need for holistic solutions.
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.
Data is an increasingly important business asset and enabler for organisational activities. With growth in data sets and data volumes, it's becoming ever harder to manage. Data quality - the fitness for purpose of data - is a key aspect of data management and failure to understand it increases organisational risk and decreases efficiency and profitability.
The book "Managing Data Quality" was published on 4th May 2020 and explains data quality management in practical terms, focusing on three key areas - the nature of data in enterprises, the purpose and scope of data quality management, and implementing a data quality management system, in line with ISO 8000-61. This presentation explores some of the themes and concepts in the book and will allow a more general discussion about improving data quality in organisations.
Dr Tim King is Principal Consultant at Babcock International Group and was convener for ISO 8000.
Julian Schwarzenbach is Director of specialist consultancy, Data & Process Advantage, and Chair of the BCS Data Management Specialist Group.
Businesses are starting to embrace data sharing as a business decision, and are seeing tangible benefits for their organisations and across sectors. This webinar will share new insights and tools, drawn from our research and a recent YouGov survey. It will show how sharing data can positively impact your bottom line.
Join Lynn Pope and Roberto Maranca, with Nicola Askham, as they discuss how to measure a data program and scale for success and continued growth. They will provide best practices and insights into the categories that put in place good data management, the right governance for a solid foundation and the right infrastructure to progress on a data journey.
As data has become essential to every organisation to harness new technologies and enable digital transformation, so has the need to have a winning data strategy. Join Peter Jackson, Director - Group Data Science at Legal & General, and Tariq Bhatti, Head of Data and Analytics Resources and Technology Services at the Nursing & Midwifery Council, to hear how they have effectively built, implemented and delivered upon a business-driven data strategy. The panel will provide insights and best practices on:
defining the vision to create a data strategy
implementing the data strategy versus Business As Usual
overcoming the legacy systems and processes
pitfalls to avoid and keys for success
delivering immediate business value with both offensive and defensive use cases
The volume of data is growing faster than ever before. In order to unlock the true potential and value of this data, it is fundamental that users can easily find the data they are looking for. Together with their partner bodies, the UK’s Geospatial Commission have been on a journey seeking to understand the barriers their users face when trying to find and access geospatial data. During this webinar, the project team will explore key insights from this work, and share findings, recommendations and toolkits to help data publishers make their data easier to find.
Stijn Christiaens, Kim Woodward, Tariq Bhatiti, Nicola Askham
To fully capitalise on the power of data, it needs to be put at the heart of the business. This requires a strong data-centric culture that focuses on understanding data at every level of the organisation.
Join Kim Woodward, Head of Information Operations at AstraZeneca Digital Health R&D, with Stijn Christiaens, Co-founder and head of Collibra’s data office, and Tariq Bhatti, Head of Data and Analytics Resources and Technology Services at the Nursing & Midwifery Council, to hear how an organisation can transform how data is governed and managed to drive change and generate value. The panel will provide insights and best practices on:
building the case for data
navigating the organisation to drive change
how to get the organisation to commit to success
And of course, pivoting in the time of a pandemic to keep data relevant and the investments in data and digital transformation.
Every enterprise is focused on creating a transformative customer and user experience. Building a responsive organization to manage concurrent shifts toward Relationship Centricity, Direct-to-consumer, Hyper-personalization, and As-a-Service while respecting Privacy and Consent is a top strategic mandate. Investments in technology, analytics, data science and storytelling are important, BUT do you have the DATA to back it up? In this session we will explore:
Where to start: Defining Customer, Brand, Location and Media
Matching your CX/UX to Growing Expectations
Keeping up with evolving business models
BONUS: Why Taylor Swift ❤️s meta-data
We all know what bad data looks like, but what are the consequences? Susan Walsh, The Classification Guru has spent 8 years classifying spend data and will share with you some examples from the perspective of the end user in terms of supplier normalisation and data classification, and will show you how to make quick spot checks of your data to find these.
IDC forecast a ten-fold increase on business data processed compared to today. Combine this with increasing regulatory compliance and demand for quality data, then it is perhaps not a surprise to find that many are feeling somewhat over-whelmed by the enormity of the data management and governance task. Don’t despair, there is a compelling business case, both in terms of efficiency gains and tangible financial savings in adopting a strategy for centralising information governance and automating the management of your data.
This presentation will explore the emerging problem domain of data and look at the business case for use of automated data management tools to better prepare your organisation for the tsunami of data coming its way.
Unstructured data is a growing threat to corporate compliance and budgets.
The exponential expansion and distribution of unstructured documents and data, impacts the security of sensitive data and organisational efficiency. Word, PDF, PowerPoint, CAD, OCR, etc. documents may contain PII data, company IP or other sensitive details. Unstructured data makes up 80%+ of enterprise data and is growing at over 55% per annum. At least half that data is “dark” data outside the corporate document management systems. The Inforeye solution enables you to understand your unstructured document landscape. If you do not know what you have or where it is, you cannot find it or protect it.
Applying AI and ML to unstructured documents enables you teach a machine to think like a human (only faster and more accurately). It understands the essence of a document – not only what it contains, but what it is. Without programming, it finds hidden content (PII, etc.) or document types (contracts, HR evaluations, etc.).
Cloud Migrations, GDPR & Libor Transition are just three of the topics demanding smarter, repeatable document analysis.
Are you planning to start a data governance program or have started one and want to know how to evolve it? A data governance maturity model might provide you with solutions. Join this session to gain an understanding into what maturity models are and how they can be used, while understanding their shortcomings and benefits
If you have ever been asked to write up a data strategy and wondered where to begin, this is the webinar for you. Suzanne will share with you, her tips on how to kick start this process as well as some rules to follow to create a data strategy that will impress your organisation.
Lucy runs an education programme called Nurture which bridges the gap between academia and industry. This year she worked with 11 universities and 80 students all studying Data Science. As part of their study they need to complete a live project which forms the basis of their dissertation. Lucy facilitates the projects and help the students get the internships and coaches them along the way.
We are very passionate about education here at Eden Smith and so much so we are building an education platform which will encompass an academy, Technical Training, Outreach and online learning. We feel by taking the time today to help the next generation, we are building up a fantastic network of people that we will want to collaborate with in the future.
We will hear from 2 MSc students that have now been placed with LGIM and JustPark. They will talk about how the internship helped them succeed, what they learnt and what they wish to pass onto the next generation coming through.
Nicola Askham, Mark Humphries, Pete Youngs, Mark McQueen
Pete Youngs and Mark McQueen from Ortecha ( https://ortecha.com/services/dcam/) walk you through the EDM Council's Data Management Capability Assessment Model (DCAM), describing the structure of the model and how it is used to benefit your organisation.
Premier Organisation for Data Professionals Worldwide
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).