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TDWI Virtual Summit

Technology Trends in Data and Analytics

October 5—6, 2022

8:30 am - 1:00 pm PT

How Our Data Team Communicates Value and Need with a Graph Database (with Audience Q&A)

October 6, 2022

Prerequisite: None

Kalynn Kennon

Head of Data Engineering

Infectious Diseases Data Observatory (IDDO), University of Oxford

This session will include a moderated Q&A featuring questions from the live audience.

The Infectious Diseases Data Observatory (IDDO) is a scientifically independent, multidisciplinary coalition of the global infectious disease and emerging infections communities. It provides the methods, governance, and infrastructure to translate data into evidence that improves outcomes for patients worldwide. We work with researchers based in disease-endemic countries to aggregate, standardize, and analyze existing health data to answer questions that can only be addressed through collaborative analysis.

Graph technology allows us to clearly illustrate and articulate the complexity of our data sources and the value of the clean output of our data curation and standardization. This information is highly valuable to internal colleagues on other teams as well as external stakeholders. It provides useful evidence for scoping potential projects and enables more accurate business case and ROI evaluation. This clarity also allows for informed discussions on the level of effort and resources needed for proposed projects.

The graph database allows IDDO to have a flexible database schema that accommodates the changing needs of the organization. It also allows us to incorporate diverse data sources by recording relationships between them, rather than having to integrate all this data into a single relational database.

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