Name: Data Theory: The Definition of Data Quality
Start: 2022-04-12T17:00:00-05:00
End: 2022-04-12T19:00:00-05:00
Location: University of Wisconsin-Parkside

Join us as we are hosted at the University of Wisconsin Parkside!

We will have an exciting discussion regarding the Definition of Data Quality: Business Case Agnostic Measurements.

The idea is to talk about how generalized approaches to articulating and tracking quality of data can enable scaling of application for your future platform, today.

Engagement led by Raymond K Roberts

Raymond K Roberts

Data to the People

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Education & Technology

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Big Data

Smart Grid

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Open Innovation

Business Model Innovation

Smart Cities

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Data Privacy

Data Science

Apps for Smart Cities

Sager Alarifi

Jered W. Haedt

Kyle Smith

Billy Violet

Sharmain Harris

Vincent Mackay

Diane Boehm

Data Theory: The Definition of Data Quality

Database Professionals

University of Wisconsin-Parkside

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Data to the People

Data Theory: The Definition of Data Quality

Data to the People

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