InfoWorld

3 data quality metrics dataops should prioritize

Data-driven decisions require data that is trustworthy, available, and timely. Upping the dataops game is a worthwhile way to offer business leaders reliable insights. Measuring quality of any kind ...
dbta

Improving Data Quality Using Data Governance

Many organizations nowadays are struggling with the quality of their data. Data quality (DQ) problems can arise in various ways. Here are common causes of bad data quality: Multiple data sources: ...
International Monetary Fund

Data Quality Assessment Framework and Data Quality Program

1. The Data Quality Assessment Framework (DQAF) was developed to address the Executive Board's interest in data quality as expressed during the December 1997 discussion of the Progress Report on the ...
POWER Magazine

How Utilities Can Better Manage and Maintain the Quality of Their Data Assets

Utilities are becoming increasingly skilled at adapting to changes brought on by the digital age: pressure from automation, disruption from new technology, and challenges with how to ingest, manage, ...
The Conversation

Ontario’s digital health program has a data quality problem, despite billions in spending

Linying Dong is affiliated with Ryerson University, and volunteers at the Board of Directors of Carefirst. Karim Keshavjee is the CEO and majority shareholder of InfoClin Inc, an organization that ...