EDM Council's Data Management Capability Assessment Model (DCAM)

Join this interview with Lisa to gain some insights into Data Governance and to find out what it takes to become Head of Data at Britain's Mapping Agency.

Fionntán O’Donnell, Senior Data Technologist at the ODI is part of a research project on Building trust through audit and certification. We're researching the different mechanisms used to build trust between organisations as they create, use and share data.
As part of this research, we're looking into ideas around co-design of data audits. Which is based on two propositions. 1. If people in a data ecosystem come together and discuss their concerns and needs around data it can build trust between them. 2. The design of audits holds the right questions to help that conversation.
This work is currently available as an annotated slidedeck. However, it is by no means complete. We hope to talk to others to learn if there are values in these ideas and where we should take them next.

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.

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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

Chris Bradley takes a look at building a data strategy to help your organisation become more data centric.

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.

Join this webinar to get an overview of the DAMA Professional Certification and learn of the recent changes that make taking the specialist exams more flexible.

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.