9 Webinars from our Data Governance Conference and Master Data Management Summit Europe 2020
Please click below to find content from our previous speakers.
*Chris Bradley will be presenting the following courses via live streaming on :
Data Modelling Essentials- Face to Face and via Live Streaming – 5-6 October 2020
Information Management Fundamentals – Face to Face and via Live Streaming – 7-9 October 2020
**Donald Farmer will be presenting the following courses via live streaming on :
Governance and Compliance in the Age of Self-Service – 6 July 2020
Innovation Strategy and Analytics – 9 July 2020
Developing a Culture of Analytics – 13 July 2020
***Malcolm Chisholm will be presenting the following course via live streaming on :
Successful Implementation of a Master Data Management Programme – 29-30 June 2020
Companies all over the world are going through digital transformation now, which in many cases is all about maturing the data environment and the use of data. Master data is key to this effort. All transformative projects require master data and usually many subject areas. Current efforts to deliver master data to the enterprise are cumbersome, inefficient and met with limited acceptance. Can artificial intelligence help? In this preview of the November keynote, we’ll look at how enterprise use cases of artificial intelligence have master data that is needed. We’ll see how MDM can contribute to AI success.
The consistently massive challenge for data governance, data quality and data protection is that they require adoption at a cultural level across the business – everyone is responsible for their bit. GDPR Article 25 describes the principle of “Data Protection by design and default” and , while this is still fresh in the organisational memory, Data Quality should consider modelling that approach.
This practical session, from the speakers experience, covers:
- Raising organisational awareness of definitions and scope (dimensions of data quality, ensure versus assure, breadth of data types and media etc.)
- Introducing a mandatory DQIA (data quality impact assessment) within the formal change process
- Maintaining central “Record of Data Quality Issues” (ideally linking to existing organisational artefacts within Operational risk and Incident Management).
- Data is at the heart of ALL business, and the imperative for becoming “Data Centric” is increasing rapidly.
- The need for organisations to produce a wide-ranging Data Strategy is greater than ever, with the demands on becoming data focused, the increase in data regulations and the desire to achieve data driven business outcomes.
This 30 minute webinar will provide areas to consider for getting started on your Data Strategy & highlight the typical contents of a Data Strategy.
- What is Data Management, the drivers and issues if it goes wrong.
- Do we need Information Management – doesn’t it come for free with our applications?
- What are the different facets of Information Management?
- What are the core disciplines of Information Management?
- Does professional Certification in Information Management help?
This 30 minute webinar will provide a whistle-stop tour through the major components of Information management & introduce the leading professional certification, the CDMP.
Although 90% of companies now have a CDO you may find yourself in one of the holdouts. Giving up is not in your blood, so you seek to persuade, influence and lead by example through driving data governance tool adoption. This presentation describes my experiences breaking the ground for our (future) CDO.
It’s the world wide data wrestling competition, and the teams break down as follows:
- IT: “we know about data, we’ve been doing data for years, what do you mean we don’t have a data strategy”
- Cyber Security: “we know about data and we need to secure everything, lock it all down we say”
- The business: “look at all the cool ways we can use our clients data, GDPR who????”
- The data governance team: “we’re the new kids on the block, and we’re really up against it”
- How do data governance teams wrestle effectively with all of these different teams and perspectives to come up with a coherent and useful data governance strategy?
Delegates will learn how we’re approaching this at PwC, some of the pitfalls and things we’ve learnt along the way.
In the BI market, everyone is talking about “self-service.” Business users are excited to have new tools which make analysis and collaboration easier than ever before. IT departments hope that life will be easier without the large number of requests from users for new dashboards, visualisations and apps.
But in practice, life for the IT department can be even busier with self-service BI. Users are no longer demanding reports – they are demanding access to data, with ease of use, high performance and security.
In this webinar we will show how IT can respond effectively to these demands, but only if they also use the appropriate tools: tools which enable automated, agile deployment of governed, managed sources. We’ll show how these tools for IT match the self-service tools of business users to make data discovery truly effective and enterprise-ready in a modern organisation.
For business users trying to work with IT to make data discovery a viable, reputable alternative to traditional BI, this webinar will be insightful. For IT departments, struggling to keep up with a new stream of demands from business along with stricter rules around governance and compliance, this webinar will be essential.
Master Data Management (MDM) is moving from the back office to a occupy a central position in business models. This is not hype from MDM tool vendors, but a genuine fundamental shift that is empowering competitive advantage in enterprises that adopt the new generation of MDM. In this webinar we explain what is driving this shift and how data governance and data management patterns that comprise MDM are changing to support it. For instance, we explain how Data Privacy is not just a regulatory requirement but represents a movement to gain trust from customers in order to deliver personalized services. Similarly, Product MDM is discussed in the context of an even greater rate of change as the current Covid-19 crisis accelerates the long-term trend away from bricks and mortar retail to eCommerce and all the data requirements that go with it. The impact of these new forms of MDM for data processionals is explained, together with what data professionals need to position themselves as the new MDM trends continue into the new decade.
Attendees with learn:
- What the increasing strategic importance of MDM means
- What is included in the new MDM practices and technologies
- What all this means for data professionals.
Just starting to implement governance and hoping for the best seldom works. Effort will be directed in the wrong places, time will be wasted and momentum lost. To be successful, a data governance programme requires detailed planning and this session will guide the delegates through the critical elements in a planning such a programme – where to start, where to finish and what to do in between.
All businesses are different so no two plans can be the same. Hence, this modular approach allows you to understand what is important to your organisation and tailor your programme to add the most value.
- A data governance planning methodology
- Real-life examples of pitfalls plus learnings
- Practical tips and hints about how to plan their own data governance programmes
If data was Lego, Zurich have undertaken a journey from a jumble of bricks in a box to an ordered and sorted stack with clear instructions. This session will bring to life the practical change and transformation techniques utilised to create a Strategic Data Asset and drive data transformation one brick at a time. It will include an exploration of the key pitfalls and the important of incremental steps in order to achieve whole scale transformation. The story will be told with a little bit of Lego and a lot of experience including:
- How to introduce portfolio management to enable transformation across multiple areas of change
- Translating data and tech to gain board level buy in to integrate change
- The importance of aligning business change and data change to achieve the desired outcome whilst minimising risks