Democratizing Data @Mobiliar to Foster Innovation Adrian Meyer - PowerPoint PPT Presentation

Democratizing Data @Mobiliar to Foster Innovation

Adrian Meyer Matthias Rüedlinger IT Architect for Data Full Stack Engineer Management @Mobiliar at Spoud AG

Data Scientists Are Master Chefs

Data Scientists Need Access to the Right Ingredients

The Problems We Have Today in Enterprises

How It Should Be

Innovation through Data @Mobiliar Knowledge Metadata Trust Management Catalog Data to Value Enable Access Data Logistics 
 (Demo) Democratizing Data @Mobiliar to Foster Innovation

«Transparency is the currency of trust.» Freda Lewis, Pfizer Democratizing Data @Mobiliar to Foster Innovation

Standardizing the Visibility through Metadata Definition Business Use Use Profile Transactional Activity Type & Class Data Lineage Relationships Element Traceability Links & Dependencies The goal of "good" quality is Ownership 
 High Usability Quality Responsible Parties Measured Metrics + Access High Accuracy Level of Classification Democratizing Data @Mobiliar to Foster Innovation


 Measuring and Improving Data Quality High Usability Path of Improvement 
 Analytic 
 Quality is iteratively improved by applying a sequence of Goal Modeling quality dimensions. 
 As an example for email address: Qualitative 
 4 1. Improving conformity 
 Validation Do we have correct format #@#.##? 2. Improving availability 
 Do all the customers have a valid email address? 3 Quantitative 
 Validation 3. Improving believability 
 2 Are the email domains within an accepted value set? 4. Improving value-add 
 Physical 
 How much business was generated with an email based Verification campaign? 1 High Accuracy Democratizing Data @Mobiliar to Foster Innovation

Innovation through Data @Mobiliar Knowledge Metadata Trust Management Catalog Data to Value Enable Access Data Logistics 
 (Demo) Democratizing Data @Mobiliar to Foster Innovation

• Improving transparency (Metadata Catalog) • Data is decentralized (Federated Microservices)

• Agreement between producer and consumer (Contract) • Self-service

• Focus on transport and not data storage • Streaming as transport (on-demand consumption)

Lessons Learned • Streaming data results in potentially reduced options of data presentation • Start and end-points of streams influence completeness and integrity • Data democratization takes a horizontal effort through the organisation • “Data to Information to Knowledge” is a fairly unknown construct • Measuring quality requires a methodical approach Democratizing Data @Mobiliar to Foster Innovation

Thanks & Questions? Adrian Meyer, adrian.meyer@mobi.ch Matthias Rüedlinger, matthias.ruedlinger@spoud.io Democratizing Data @Mobiliar to Foster Innovation