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Report #4 from a stray climber on the MDM Summit Europe 2016

Highlights of Tuesday at the MDM Summit Europe 2016

Conferences days like these can be real world information overload as opposed to a digital world information overload. Phones are off. Push notifications and social media incoming are at a minimum. And attention is focussed on one speaker after another with one presentation after another.

This is quick summary of things that have stuck in my mind the morning after.

I picked up some insights into current opinions about MDM and Big Data. As anticipated by MDM world, Big Data world is lost in its lake looking for patterns in the data and desperately needs serious well managed metadata to rescue it.

D ’n’ B and DNB

By chance on my schedule I went from Dun and Bradstreet (DnB) to De Nederlandsche Bank (DNB) (the Dutch Central Bank). For both of them data and information are core business. But there the similarities end.

Sharon Lancaster of Dun and Bradstreet gave an impressive, lively account of Data Life Cycle Governance in a commercial organisation that makes its living from gathering and selling data. How a small team has established effective data governance in a complex global organisation. Implementing privacy by design. Right at data element level, tracking definitions, quality, source and authorisation for use. Dealing with diverse regulatory regimes worldwide. Preparing for GDPR.

The bottom line being that for DnB reputation is everything. Their product is data, and customers expect and demand reliable data quality. The impression was of a lively, agile organisation riding the ongoing waves of digitalisation.

By contrast, Diederick Nevenzeel of DNB shared some insight into the challenges of establishment of data governance in the Statistics department of DNB, a government organisation that has been gathering data for decades and providing reports to its stakeholders, but which still has internal silos and which takes a long time carefully responding to new requirements for information.
Example of a graph model from Schleich

Graph Data Models for the Toymaker

Dr Andreas Weber gave a great overview of the use of graph data models at the toymaker Schleich. It is a modelling style that can be easily understood by business users. And in the case of Schleich it extended right along the supply chain to their vendors and contract manufactures and thereby provided effective support to the requirements for detailed data about chemical composition and critical substances in the toys.

My Favourite of the Day

Dr Katherine O’Keefe of Castlebridge Associates stole my heart at the end of the day by taking us back to the meaning life as human beings with Emmanuel Kant and Tim Cook. And as an Apple fanboy my favourite slide of the day has to be this one of Tim Cook leading the way to the moral high ground.

Tim Cook's promise to keep our stuff secure, even from the Australian government

20160519 10:55 updated for typos
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