Sami Laine

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I have a wide knowledge about concepts and methods of Enterprise Information Management and technologies related to Data Warehousing, Master Data Management and Business Intelligence. In my work, I usually combine a broad set of best-practices from the fields of Software Engineering, Data Management, User Centred Design and Enterprise Architectures. My strengths are in translating business requirements to technological solutions and vice versa. Previously, I have been working with all management levels from strategic leadership development, tactical service model development and operational process improvement. In practice, I'm technically oriented business developer capable of gathering...

data quality open data health informatics healthcare data management information production process data-driven decision-making data quality management data supply chain data lifecycle business value chain pandemic management mit cdoiq symposium ilf tivia dama finland cdo chief data officer decision-making dama covid-19 case study transparent data supply open api data lineage total data quality management data provenance information production process information production process information production process information production process information production process information production process information production process;

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Aktuellste Beliebteste SlideShares

Sami Laine

Data ja tekoäly asiakaskokemuksen ja brändin kehittämisen taustavoimana

Explaining Black-Box Machine Learning Predictions - Sameer Singh, Assistant Professor of Computer Science, UC Irvine

Data Structures - The Cornerstone of Your Data’s Home

Tiedolla johtamisesta tiedolla tekemiseen

The need for a transparent data supply chain

DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Australia November 2013

10+ Deploys Per Day: Dev and Ops Cooperation at Flickr

Data Architecture vs Data Modeling

How to identify the correct Master Data subject areas & tooling for your MDM initiative

How to Get My Paper Accepted at Top Software Engineering Conferences

Late Binding in Data Warehouses