7 MDM THINKLAB
23-24 April 2020
ABOUT THE MDM THINKLAB
The 7th MDM ThinkLab is the gathering for discerning Master Data Managers and enthusiasts who wish to elevate Data to a strategic asset.
Starting from the building blocks of successful Master Data, we'll move on to discuss Data initiatives linked to their business outcomes and how to build an internal data culture. Finally, we'll address Data as an enabler for
Analytics, BI, AI, IoT and trending (sometimes hyped) new technologies.
The intrinsic message of the MDM ThinkLab is that success in digitalization can only be achieved if you get the basics right with Master Data.
Therefore, it is important, as data professionals, to be able to evangelise and communicate the value of data to the executives and to speak their languages and link their goals to your data initiatives.
One of the most valuable aspects of the MDM ThinkLab is our signature format that includes dynamic Q&A sessions, tailored round table discussions, group activities and networking breaks, which all together
enables you to bond with other attendees, learn with and from them and come back inspired by the realisation that you're not alone in your Master Data journey.
We strongly believe in the people element of Master Data, as without people, culture, meaning, and intentions you have data for the sake of Data.
If you believe in collaborative learning and the importance to share and debate over ideas (to give meaning and substance to them), then the MDM ThinkLab is your must-attend gathering.
Building blocks of a successful Master Data Management
Fostering a healthy Data Culture
Data Governance Maturity Models
Linking IOT, BI, Data Analytics to Master Data
Data Governance supporting the Business
Linking Master Data to strategic Business goals:
a) Supply Chain b) Customer Experience c) Reducing costs
Centralised vs De-centralised
Improving Data Quality to take advantage of new technologies
People and Master Data: building the right team and competences for the task
Providing a Business case for Master Data
Master Data: the foundations of a successful Digital
Panel Discussion: Why do MDM initiatives fail?