(RDF Use Case: Context and demo of Enterprise Data Catalog at Mobilière)
With the fast increase in complexity, variety, and volume of information collected by software systems, a scalable and flexible approach is required to create a competitive advantage through data-based value creation.
We started our journey by building a graph-based Enterprise Data Catalog (EDC) focusing on internal data consumers and the capabilities “findable” and “navigatable”. We also wanted to build up expertise about the necessary technologies parallel to creating business-value through increase of transparency over the rather “organic” and fragmented data universe within our eco-system.
The current version of the EDC imports and links database inventories, domain architectures, security and compliance constructs, agile organization units, Human Resources (HR) structures, and various business information models from a wide variety of different sources in an easily extensible manner. Built on RDF technology and coupled with modern search indexing, the frontend delivers searching, filtering, navigating, and SPARQL based reporting of the content to the entire Mobilière workforce.
With the EDC, we were able to significantly increase the capability of finding data, responsible persons (“who knows somebody that knows somebody?”) and other linked concepts. The massive increase in transparency enables us to better understand and plan the modernization of our data infrastructure.
Who might be interested in that (technical audience, management, data scientists, etc.)
Anybody that loves data.
What would you like to know from other participants, what feedback are you looking for
Looking for a dialog on how to describe data, possibly even relevant business ontologies.
What is your background (name, affiliation, etc)
Adrian Meyer, IT Architect for Data, Mobilière
Adrian is a seasoned computer systems expert with training in mechanical engineering and computer science. His working experience ranges from small start-ups to large fortune 100 companies in addition to academic institutions. These include Alliance, Teradata or the University of North Carolina at Chapel Hill (UNC).
Within the data architecture team at «Mobilière» he is tasked with conceptualizing and building a metadata universe. These efforts include metadata collection, automation of information quality assessments, and dash-boarding. His focus and interests are in data to information transformations and knowledge generation from transactional data.
Would you be open to have the session filmed & published later?
Possibly, I will have to check with communication policies of Mobiliar
What would you like to talk about
(RDF Use Case: Context and demo of Enterprise Data Catalog at Mobilière)
With the fast increase in complexity, variety, and volume of information collected by software systems, a scalable and flexible approach is required to create a competitive advantage through data-based value creation.
We started our journey by building a graph-based Enterprise Data Catalog (EDC) focusing on internal data consumers and the capabilities “findable” and “navigatable”. We also wanted to build up expertise about the necessary technologies parallel to creating business-value through increase of transparency over the rather “organic” and fragmented data universe within our eco-system.
The current version of the EDC imports and links database inventories, domain architectures, security and compliance constructs, agile organization units, Human Resources (HR) structures, and various business information models from a wide variety of different sources in an easily extensible manner. Built on RDF technology and coupled with modern search indexing, the frontend delivers searching, filtering, navigating, and SPARQL based reporting of the content to the entire Mobilière workforce.
With the EDC, we were able to significantly increase the capability of finding data, responsible persons (“who knows somebody that knows somebody?”) and other linked concepts. The massive increase in transparency enables us to better understand and plan the modernization of our data infrastructure.
Who might be interested in that (technical audience, management, data scientists, etc.)
Anybody that loves data.
What would you like to know from other participants, what feedback are you looking for
Looking for a dialog on how to describe data, possibly even relevant business ontologies.
What is your background (name, affiliation, etc)
Adrian Meyer, IT Architect for Data, Mobilière Adrian is a seasoned computer systems expert with training in mechanical engineering and computer science. His working experience ranges from small start-ups to large fortune 100 companies in addition to academic institutions. These include Alliance, Teradata or the University of North Carolina at Chapel Hill (UNC).
Within the data architecture team at «Mobilière» he is tasked with conceptualizing and building a metadata universe. These efforts include metadata collection, automation of information quality assessments, and dash-boarding. His focus and interests are in data to information transformations and knowledge generation from transactional data.
Would you be open to have the session filmed & published later?
Possibly, I will have to check with communication policies of Mobiliar