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CDO BANKING, FINANCIAL SERVICES AND INSURANCE EXCHANGE in London
AI
Analytics
CDO
DAMA
Data Management
Data Modeling
Data Science
11 - 12 Nov, 2024
London,
United Kingdom
Na tym wydarzeniu będą omawiane i prezentowane zagadnienia dotyczące wdrażania Data Governance w instytucjach finansowych, w tym bankach, takie jak AI, wymagane regulacje, Data Lineage, Data Catalog, Data Quality, Metadata itp. Standardowa cena wynosi ~2.000 EUR za uczestnika, ale myślę, że dla członków DAMA Poland możemy wynegocjować lepszą stawkę :) Szczegółowa agenda znajduje się na stronie wydarzenia.
10th Data Management ThinkLab
AI
Analytics
CDO
DAMA
Data Architecture
Data Governance
Data Management
Data Modeling
Data Quality
Data Science
Data Storage
Data Warehousing
23 - 25 Oct, 2024
Prague,
Czech Republic
Dla chętnych możemy zaaoferować zniżkę w wysokości 45% !!! Jeżeli ktoś jest zainteresowany to zapraszam do kontaktu :)
Data Lineage as part of Data Governance Universe
CDO
DAMA
Data Management
Data Modeling
18 Sep 2024
Ukraine
Na spotkaniu (jezyk angielski) zamierzamy omówić wraz z kolegami z #DAMAKiev możliwości wykorzystania rozwiązania typu Data Lineage z punktu widzenia biznesu oraz wymagań regulatora w zakresie np. DORA, BCBS239, GDPR, ESG etc
Data Modeling Zone US (DMZ) 2024
Data Modeling
27 Feb - 1 Mar, 2024
Phoenix, AZ,
United States
Applications deliver value only when the underlying applications meets user needs. Yet organizations spend millions of dollars and thousands of hours every year developing solutions that fail to deliver. There is so much waste due to poorly capturing and articulating business requirements. Data models prevent this waste by capturing business terminology and needs in a precise form and at varying levels of detail, ensuring fluid communication across business and IT. Data modeling is therefore an essential skill for anyone involved in building an application: from data scientists and business analysts to software developers and database administrators. Data modeling is all about understanding the data used within our operational and analytics processes, documenting this knowledge in a precise form called the “data model”, and then validating this knowledge through communication with both business and IT stakeholders.
